Minimum qualifications: • Bachelor's degree in Computer Science, or equivalent related practical experience. • 2 years of experience with Python and C++. • 2 years of experience with object-oriented programming, data structures, and algorithms in an academic or industry setting. • 2 years of experience in computer vision and machine learning, or research achievements in the field of computational photography (e.g., product ownership, publications). Preferred qualifications: • Experience with Android app or framework development. • Proficiency in TensorFlow, PyTorch, or JAX. • Proficiency in Python and C++. • Excellent communication and collaborative skills. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Pixel Camera team aspires to deliver the world's best mobile camera and camera experiences through software innovation. It has consistently landed huge, publicly visible impact by pushing the limit of mobile photography and videography with each year's Pixel smartphone launches. The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world. Responsibilities • Develop and sustainable AI/ML methods to solve key problems in autofocus for on-device applications, such as detection, segmentation, tracking, depth estimation, and saliency. • Train and deploy server-side models (e.g., convolutional neural network, transformers, etc.) for distillation and evaluation. Explore Generative AI use cases, such as auto-labeling. • Build data and evaluate pipelines for novel machine learning problems. Optimize and integrate machine learning models for on-device deployment. Create and execute end-to-end evaluation plan to ensure quality and robustness. • Work closely with cross-functional teams on machine learning problems. Leverage and drive partner teams for integration, testing, and optimization. Communicate plans, progress, and results effectively for an audience with or without machine learning background.

Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms. • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. • 3 years of experience working with embedded operating systems. Preferred qualifications: • Master's degree or PhD in Computer Science or a related technical field. • 1 year of experience in a technical leadership role. • Experience with Android Open Source Project (AOSP) development. • Experience with architecture, design, development, testing and deployment for Android BSP, Linux device drivers, Linux kernel modules. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities • Integrate drivers and firmware during bring-up. • Debug software and hardware problems and submit patches for bug fixing or feature improvement. • Develop and execute comprehensive test plans to ensure software stability and reliability. • Drive continuous improvement of Integration flow, debug tools, and processes. • Plan enablement approach and Report feature development progress at various program milestone.

Minimum qualifications: • Bachelor's degree in Computer Science, Math, a related technical field, or equivalent practical experience. • 6 years of experience performing customer-facing services focused on translating enterprise customer needs into Enterprise Architectures. • Experience writing software in one or more languages (e.g., Java, Python, Go, etc.). • Ability to communicate in English and Mandarin fluently to engage with and support customers in this region. • Ability to travel 30% of the time as needed. Preferred qualifications: • Experience architecting and developing software or internet scale, production-grade infrastructure/migration solutions in virtualized environments. • Experience working with channel partners, systems integrators, and third-party developers to deliver successful solutions. • Experience designing and deploying large-scale distributed data processing systems with technologies (e.g., SQL Server, MongoDB, Hadoop, etc.). • Experience with standard IT security practices (e.g., identity and access management, data protection, encryption, certificate and key management). • Experience automating infrastructure provisioning, developer operations, or integration/delivery. • Experience with cloud architecture with a set of enterprise use cases. About the job Enterprise Architects are senior principal architects or principal engineers who work on complex Google Cloud customer proposals and promote, design, and lead technical solutions. As an Enterprise Architect, you will work on large, transformational projects with customers to design large-scale, cloud-ready infrastructure and application architectures, develop solutions in migrating, building, modernizing and maintaining applications in Google Cloud Platform, troubleshoot potential platform challenges, and more. As a lead on these projects, you will provide leadership around customer delivery, scoping and estimating services delivery, and resource profiling during pre-sales. During delivery, you will lead the technical cross-functional Partner team to deliver on customer goals. In this role, you will be working with key strategic Google Cloud customers and with the team, you will support customer implementation of Google Cloud products. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities • Provide customers expertise and leadership focused on enterprise-wide cloud architecture and migration planning for both scoping and during delivery. • Recommend and document migration paths, integration strategies, and application architectures required to successfully implement solutions using best practices on Google Cloud. • Engage with our customers at executive stakeholder level, providing a single point of technical contact for the customer into the consulting delivery team. • Provide technical architecture and enterprise-wide Google Cloud subject matter expertise. Oversee technical delivery excellence, exceptional customer satisfaction, and accurate estimation of customer outcomes in partnership with the delivery teams. • Drive the capturing, developing, and sharing of best practices internally and externally to scale expertise to accelerate implementation.

Minimum qualifications: • Bachelor’s degree in Computer Science or Electrical Engineering, or a related field, or equivalent practical experience. • 5 years of experience with software development in C++ or Python with data structures or algorithms. • 3 years of industry experience in developing software products, and 1 year of experience with software design and architecture. • 3 years of experience in image processing, machine learning or computational photography. Preferred qualifications: • Experience in phone product development. • Experience in camera 3A (e.g., auto white balance, auto exposure, auto focus) software and algorithm development. • Experience in Tensorflow. • Knowledge of color tuning. • Excellent investigative and problem-solving skills for debugging code, optimizing algorithms, and troubleshooting technical issues. About the job Our team develops advanced algorithms and software systems to improve Pixel camera color photography experience, especially in tuning efficiency and accuracy. We launch exciting research projects into each year’s Pixel camera and make an immediate impact on Pixel phone users across the world. The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world. Responsibilities • Develop machine learning based automation system or algorithms for auto white balance, color tuning, and quality evaluation. • Participate in camera auto white balance, color tuning, and image quality evaluation. • Collaborate with software teams and hardware teams to improve image quality. 

Minimum qualifications: • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. • Experience in verifying digital systems using standard IP components/interconnects (microprocessor cores, hierarchical memory subsystems). • Experience in verifying digital logic at Register Transfer Level(RTL) using SystemVerilog for Application-Specific Integrated Circuit(ASICs). • Experience with object oriented programming. Preferred qualifications: • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture, or equivalent practical experience. • Experience with Camera Image Signal Processor(ISP) image processing or other multimedia IPs such as Display or Video Codec. • Experience with verification techniques, System Verilog Assertions (SVA) and assertion-based verification. • Experience with Gate-Level Simulation(GLS), low-power Design Verification(DV), and support of System-on-Chip(SOC) DV. • Experience creating and using verification components and environments in a standard verification methodology such as UVM. About the job Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities • Plan the verification of multimedia intellectual property(IPs) at Subsystem and full chip level by fully understanding the design specification and interacting with architecture and design engineers to identify important verification scenarios. • Create and enhance constrained-random verification environments using System Verilog and Universal Verification Methodology (UVM). • Identify and write all types of coverage measures for stimulus and corner-cases. • Debug tests with design engineers to deliver functionally correct design blocks. • Close coverage measures to identify verification holes and to show progress towards tape-out.

Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms. • 3 years of experience building developer tools (e.g., compilers, automated releases, code design and testing, test automation frameworks). • 3 years of experience in developing software products, and 1 year of experience with software design and architecture. Preferred qualifications: • Master's degree or PhD in Computer Science or related technical field with an emphasis on compiler or ML performance. • Experience with domain-specific compilers for machine learning and experience with using C++ as programming language. • Experience in building developer tools for computing accelerators such as APU, NPU, GPU and DSP. • Experience in power and performance optimizations. • Experience with low-level and low intrusiveness developer tooling concepts such as profiling, instrumentation, API tracing, hardware tracing. • Understanding of hardware, especially hardware that provides a degree of parallelism. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a Software Engineer you will work on developing toolings as part of SoC Software Development Kit (SDK) for the Tensor TPU to accelerate complex machine learning models running on custom hardware accelerators. Along with your technical expertise, you will manage project priorities, deadlines and deliverables. This opportunity sits at the intersection of Machine Learning (ML) accelerators, optimization and deployment of ML models, embedded systems, and will be on the critical path of customers looking to productionize their models on consumer hardware. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities • Build tools that compliments compiler to efficiently map ML models (with a particular focus on always-on computing use cases) to the hardware ISA. • Design and implement new ways to gather useful performance metrics from hardware or software stack. • Design and implement tools that can correlate performance data at a ML graph level or logical hardware level. • Build performance analysis tools for simulators or new hardware. • Show users how to use our tools to analyze, debug and improve latency, accuracy, and power through codelabs, documentation, and tutorials.

Minimum qualifications: • Bachelor's degree in Electrical/Computer Engineering or a relevant technical field or equivalent practical experience. • 8 years of experience in a technical lead, board and system manufacturing, or program management role. • Experience in board layout, high speed signal, signal integrity, power distribution techniques, validation, lab bring up and debug. • Experience in managing suppliers and partners in implementing test hardware requirements for manufacturing testing. Preferred qualifications: • Experience with project management methodologies related to hardware product development. • Experience in implementing or leading complex, transformational projects resulting in improvement of test or manufacturing operations in the area of quality, cost, speed. • Experience in bring-up or bench testing hardware in a lab environment. • Knowledge of electrical, mechanical, and software engineering principles from a systems integration point of view. • Excellent leadership, investigative, quantitative reasoning, problem-solving, creativity, strategic, and program management skills. About the job Google's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver this state-of-the-art physical infrastructure. As a Manufacturing Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you’re right there alongside ensuring manufacturing processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google’s infrastructure needs and product specifications. Your work ensures the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities • Lead the conception and implementation of custom test systems (interface cards, fixtures, racks, and more) to support design validation and manufacturing tests across various product lines. • Partner with test engineering teams to productize test vehicles to validate the latest technologies and other new technologies for New Product Introduction (NPI) products. • Partner with Technical Program Managers (TPM) to manage procurement, budget, schedule, risk management for custom test systems development projects and alignment with NPI program schedules, including Request for Proposal (RFP) process and selection of Joint Design Manufacturer (JDM) partner and technology suppliers. • Drive technical discussions and reviews, ensure manufacturability, cost optimization, guide technical tradeoff analysis and decision-making processes, and act as technical liaison between Google technical team and JDM partners. • Participate in design validation, system integration activities, product bring up, and validation during prototype builds.

Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 2 years of experience with software development in one or more programming languages, and with data structures or algorithms. • 2 years of experience with machine learning algorithms and tools, artificial intelligence, deep learning and camera related domains, (e.g., computational photography). Preferred qualifications: • Master's degree or PhD in Computer Science or related technical fields. • Experience or education in Computer Vision, Machine Learning, or Graphics, including the productization of models or related publications. • Experience in one or more general purpose programming languages including C/C++, Python. • Experience in 3D rendering engines (e.g. unreal, unity) or robotics and experience in Google Infrastructure (e.g. borg/flume). • Experience in real-time performance optimization. • Excellent communication skills. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world. Responsibilities • Work with camera leads and research teams to design and develop state-of-the-art algorithms and Machine Learning models on video quality improvement/enhancement/assessment.  • Deliver the quality solutions, you will drive/conduct Research and development optimization and integration with partner teams such as System, Hardware, and Sensor Engineers, and Videographers. • Work with Engineering leadership and Program Managers to define future directions on video quality, and collaborate with various teams across Google to define/improve pipeline, architecture, and specs to enable new video features.

Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 2 years of experience with software development in one or more programming languages (e.g., Java or Kotlin), or 1 year of experience with an advanced degree. Preferred qualifications: • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. • Experience in projects involving performance optimizations, such as power, latency, and memory enhancements. • Experience working with UX designers and researchers. • Experience with development in Kotlin. • Knowledge of camera technology and experience developing Android apps. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Input/Output (I/O) and Pixel launch events regularly feature projects that our team has worked on. If you are interested in contributing towards building the next generation of Pixel devices, this is the right place to look! Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology. Responsibilities • Collaborate with partner teams to integrate new features into video capture pipeline. • Design and implement architectural infrastructure that support partner teams to efficiently debug, iterate, and enhance video features. • Maintain and improve the code base to facilitate efficient development for the team. • Improve the video capture pipeline to minimize the impact on latency, power consumption, and memory usage.

Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Preferred qualifications: • Master's degree or PhD in Computer Science or a related technical field. • 2 years of experience in applied machine learning or machine learning research. • Experience in Natural Language Processing, Large Language Models or Computer Vision. • Experience in Android Development. • Knowledge of programming skills in C++ and Python. • Excellent problem-solving and critical thinking skills, along with the passion for teamwork and a respectful approach to collaboration. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you develop the machine learning system and models that power the Pixel personal agent. This includes tasks such as data collection design, data engineering, feature engineering, model training, and model evaluation. You will work with engineers, researchers and product managers across Google to design and implement new features for the personal agent. Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology. Responsibilities • Develop applications on Android/Pixel. • Propose, design and implement data collection solutions. • Design evaluation framework and carry out evaluations of the machine learning models. • Stay informed on the latest machine learning techniques and technologies and apply them to our technical solutions. • Collect and tune data to develop, maintain, and evaluate machine learning models.

Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 2 years of experience with software development in one or more programming languages, and with data structures or algorithms. • 2 years of experience with machine learning algorithms and tools, artificial intelligence, deep learning and camera related domains, (e.g., computational photography). Preferred qualifications: • Master's degree or PhD in Computer Science or related technical fields. • Experience in image/signal processing, computer vision, or machine learning, with a proven track record of applying these skills to solve complex problems. • Expertise in one or more camera or image disciplines, such as tone mapping, color science, camera optics, or subjective image quality assessment. • Passion for photography. • Excellent communication skills with the ability to collaborate effectively in a multidisciplinary, fluid environment. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will have the opportunity to shape the future of mobile photography by working on core algorithms on Pixel products. Your work will directly enhance the photography and cinematography experience for Pixel users. This involves both improving image quality and creating innovative computational photography features. You will be responsible for the end-to-end development of solutions, from algorithm design and implementation to quality evaluation, performance optimization, and ultimately, deployment to Pixel devices. You will collaborate with a diverse team of software engineers, hardware engineers, researchers, and image scientists across the Google to push the boundaries of the modern mobile imaging system, commercialize new features, and develop the architecture for the future products. You will play a key role in driving projects forward and demonstrating leadership. The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world. Responsibilities • Develop novel image processing technologies to power new camera features and push Image Quality (IQ) boundaries.  • Apply your expertise in computational photography and/or machine learning to create groundbreaking advancements in mobile photography. • Lead the full-cycle of algorithm development, from ideation and proof-of-concept to on-device implementation, optimization, integration, rigorous testing, validation, and ultimately, delivering delightful experiences to our users. • Contribute to shaping the distinctive look and feel of Pixel photography. • Collaborate closely with product teams to define issue statements and work alongside hardware, software, firmware, and research teams to prototype, integrate, and optimize algorithms that leverage the full potential of our hardware capabilities.

Minimum qualifications: • Bachelor's degree in Computer Science, or equivalent practical experience. • 2 years of experience with software development in one or more programming languages (e.g., Java, Kotlin, Python, C, C++, JavaScript). • 2 years of experience with data structures or algorithms. Preferred qualifications: • Master's degree in Computer Science, or a related field. • Experience with testing, profiling, benchmarking, and optimizing code and applications. • Experience building applications or libraries that operate across processes. • Experience building Android applications or services. • Experience with multithreading. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a Software Engineer on the Android and Pixel Camera Foundations (APCF) team, you would be responsible for doing the day to day feature development on your project(s) which will involve developing and testing code, designing and implementing new features and APIs, learning and applying new tools and APIs to your day to day development, and collaborating with your teammates to develop fast, high quality and high performance camera and media components that work well across Android and Pixel. The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world. Responsibilities • Design, develop, and prototype features and tests using Kotlin, Java. • Propose designs for new APIs, and give feedback on design documents and code. • Work with other members of our team to develop features, review changes, and identify bugs. • Plan and organize your work based on internal requirements and planning. • Maintain a high quality, performance, and reliability bar for the libraries and components our team develops.

Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 2 years of experience with software development in one or more programming languages (C++,Python). Preferred qualifications: • Master's or PHD’s degree in Computer Science or Electrical Engineering, or a related field. • Experience in image processing, computer vision, and computational photography development. • Experience with imaging tuning related development and technology. • Understanding of image quality metrics. • Understanding of imaging hardware, image signal processing and post-processing imaging algorithms. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. We are a team that is passionate about building the mobile camera solutions to delight our users, partnering with teams across Google. As part of the Image Signal ProcessorIQ software team, you will work with global talents to launch scalable and efficient software and hardware Image Signal Processor (Image Signal Processing) solutions and ensure the best mobile IQ (Image Quality) for Pixel Camera. Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology. Responsibilities • Develop the camera tuning software infrastructure, including image processing simulator and device-identical image verification framework. • Develop and maintain scalable cross-platform servers and services to serve different image processing purposes in good quantity and quality. • Develop automatic processes to improve data validation coverage and make the tuning workflow more efficient.  • Work with the Architecture, Software, Image Quality, Tuning teams to develop solutions to achieve quality targets and commercialize real products.

Minimum qualifications: • Master's degree in Electrical Engineering, Computer Science, or equivalent practical experience. • 6 years of experience in multimedia technologies, including imaging and vision pipeline in silicon development. • 3 years of experience in Image Signal Processing (ISP), computer vision or computational photography algorithm. • 1 year of experience in machine learning on hardware acceleration. Preferred qualifications: • PhD in Computer Science, Electrical Engineering, or a related field. • 10 years of experience in multimedia technologies, including imaging and vision pipeline in silicon development. • 3 years of experience in machine learning hardware architecture and software infrastructure. • Experience developing hardware IP or system level silicon architecture plan. • Understanding of machine learning or image/video/display processing algorithms for photography applications. About the job Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. In this role, you will design and build the hardware, software and networking technologies that power all of Google's services. You will design and build the systems that are important in the world's largest computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our data centers affecting millions of Google users. In this role, you will develop new hardware architectures for hardware-accelerated image/video/display use cases. You will work on topics that span areas of image processing, digital imaging, computer vision, computational photography, and machine intelligence. You will develop and specify optimized architectures for current and future generation products. You will also collaborate with key stakeholders to build and test the best hardware architectures to process images/videos/display for applications including digital photography and machine intelligence. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities • Design and develop multimedia systems relevant to imaging, video, and display pipelines for hardware implementations. • Evaluate the architectural design and algorithms for digital photography, computer vision, machine intelligence scenarios. • Design, define and specify computer vision and image and video processing Internet Protocol (IP). Author hardware specifications for efficient and practical implementation. • Collaborate with other architects to create optimized and innovative solutions including video, image processing and machine intelligence experiences. • Work with a variety of stakeholders, including product managers, algorithm developers, and software teams to create immersive and engaging user experiences.

Minimum qualifications: • Bachelor's degree in Electrical Engineering, related disciplines or equivalent practical experience. • 8 years of experience at a company developing supply chains in manufacturing and test. • Experience working with Original Device Manufacturers (ODMs), contract manufacturers and component suppliers for data center server type products. Preferred qualifications: • Master's degree in Electrical Engineering, or a related field. • 10 years of experience at a company developing supply chains in manufacturing and test. • Experience working with ODMs, contract manufacturers and component suppliers for data center server accelerator products (e.g., GPU, FPGA, or ASIC). • Experience working with contract manufacturers and suppliers to drive root cause analysis, corrective actions, and continuous process improvements. • Experience with bring-up or bench testing hardware in a lab environment. • Knowledge of SQL queries and scripting in Python or Bash. About the job Google's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver this state-of-the-art physical infrastructure. As a Manufacturing Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you’re right there alongside ensuring manufacturing processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google’s infrastructure needs and product specifications. Your work ensures the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities • Own the manufacturing plan, lead reviews between Design and Operations Engineering to drive deliverables that are key to implementing the manufacturing plan. • Provide support for pre-production builds, ensure factory readiness, support manufacturing line bring-up, provide product debug training, and gather feedback on build issues. • Lead the technology assessment for new products. Co-work with the product team to influence design decisions, highlight manufacturing risks, and develop mitigation plans. • Collaborate with Quality and Reliability Engineers to establish NPI and production goals for yield and long term reliability, and validate product qualification plans, support reliability testing, and review results to ensure product performance meets requirements. • Lead cross-functional team towards resolution of component/build quality excursions during NPI phases.

Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 1 year of experience with software development in C++ and Python, or more programming languages. Preferred qualifications: • Master's degree in Computer Science or related technical fields. • Experience in camera imaging pipeline and image quality metrics. • Experience in Android mobile camera software development. • Experience in DSP or TPU programming. • Experience in Neon programming. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology. Responsibilities • Research and develop mobile camera algorithms related to 3A (e.g., auto focus, auto exposure, auto white balance) that are computationally efficient. • Optimize the algorithms performance, memory usage, runtime latency to improve the user experience. • Collaborate with the hardware team and utilize hardware advantages for efficient camera 3A solutions. • Develop automated methodologies to streamline performance profiling and analysis, reducing manual effort and improving efficiency.

Minimum qualifications: • Bachelor's degree in Electrical Engineering, Computer Engineering, a related field, or equivalent practical experience. • 5 years of experience in test engineering or product engineering. • 5 years of experience with industry-standard tools, languages and methodologies relevant to the development of silicon-based ICs and chips. • Experience in System Level Test development for NPI or High Volume Manufacturing. • Experience with Linux/Unix, Python programming, or TCP/IP network configuration. Preferred qualifications: • Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science. • 10 years of experience with hardware or semiconductor testing. • Experience implementing secure ASIC/SoC manufacturing solutions, including Manufacturing Execution System (MES) and System Level Test (SLT) handler experience. • Experience in C/C++. • Knowledge of ASIC/SoC boot process, boot loader development, or CPU performance testing. About the job Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. The team designs and builds the hardware, software, and networking technologies that power Google's services. In this role, you will develop from the lowest levels of circuit design to system design and support those systems all the way through to manufacturing and mission-mode operation. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities • Develop and implement strategies for high volume manufacturing test of SoC products, including troubleshooting, test coverage optimization, DPPM reduction, and power and performance assurance. • Participate in System Level Test deployment and optimization for High Volume Manufacturing, working with the NPI team, vendors, and product engineering to achieve high uptime and first pass yield. • Own top level SLT yield pareto, identify and separate test and design/process yield loss. • Support debug and solutions to test related failures through software (e.g., test, automation), test content development (e.g., debug, optimize, create), hardware (e.g., test fixture, handler, networking/communication), and operational improvements. • Collaborate with cross-functional teams across the globe including ATE and SLT Test Engineering, Packaging, Supplier Management and Operations to ensure System Level Test success.

Minimum qualifications: • Bachelor's degree in Computer Science, or related technical field, or equivalent practical experience. • 4 years of experience in software program management. • Experience with C/C++, Java or Go programming languages, Unix/Linux systems, and scripting in Shell, Perl, or Python. • Experience troubleshooting using various web technologies. Preferred qualifications: • 8 years of experience in software focused program/project management and in the business technology market and working with engineering, sales and marketing teams in networking. • Experience working with embedded devices, Consumer Electronics manufacturers, SoC providers, and Pay TV Operators. • Experience driving cross-functional initiatives in a structured and ambiguous environment. • Familiarity with Reference Design Kit (RDK), Android TV or similar TV platform architecture. • Excellent communication and problem-solving skills and outstanding organizational, prioritization, and multitasking skills. Ability to speak to business and technical stakeholders. About the job YouTube's user base is growing and changing, presenting unique challenges and opportunities to support over a billion monthly users around the world. Fast-paced, dynamic, and proactive, the YouTube Partner Development & Services team provides seamless help to our partners, creators, and artists on YouTube, ensuring an exceptional experience for all YouTube users. In this role, you will lead deployments, optimize implementations, and handle integrations to build successful, long-term device partnerships. You will own technical engagements and find creative/innovative solutions that lead them to the next level. You will lead projects and teams that require collaboration with other teams like Product, Engineering, Business Development, Operations and Marketing. You will play a key role in improving existing operations, defining and commercializing new solutions, bridging product gaps, automating partner operations and taking new initiatives from conception to successful deployment. You will balance business and partner needs with technical constraints, develop innovative, cutting-edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, and develop product strategy and prioritize projects and resources. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together. Responsibilities • Lead implementation reviews, advocate new product features, and ensure the prompt and proper resolution of technical issues. • Improve product feature offerings by providing partner feedback to internal cross-functional teams including Product Management and Engineering. • Ensure the technical aspects of a partner’s integration (both new and ongoing) by providing necessary documentation and technical guidance. • Identify, drive, and optimize the business flow from new existing and new business opportunities by leveraging YouTube technologies. • Work closely with our System on a Chip (SoC) partners in the region to accelerate and improve YouTube integrations on new chipsets.

Minimum qualifications: • Bachelor’s degree in Mechanical Engineering, Industrial Engineering, a related PCB field, or equivalent practical experience. • 8 years of experience in the PCB technology and manufacturing process. • Experience in statistical product quality control, process capability, reliability, failure analysis, and process improvement. Preferred qualifications: • Master's degree in Mechanical Engineering, Industrial Engineering, Chemical Engineering, or PCB related field. • American Society for Quality certification (CQE, CQM, CRE, or CQA). • 10 years of experience in Quality/Reliability and PCB technology. • Understanding of PCB manufacturing and test processes. • Ability to travel as needed. About the job Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability. As a PCB Supplier Quality Engineer, you will join the team responsible for setting and managing the supplier quality and reliability standards for our PCB Infrastructure across Google. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities • Be responsible for the quality and reliability of PCB deliverables throughout the lifecycle. Drive cross-functional activities in the supply chain for overall technical operational readiness in all NPI phases leading into mass production. • Conduct quality and manufacturing process audits at suppliers, including on-site management for critical suppliers to ensure high-quality products are built and delivered. • Work cross-functionally to define and ensure processes are in place to provide the data required to manage quality and reliability. Interface with suppliers on a regular basis to share parts per million feedback from the CM/Field and drive RMA, CAR, RCCA, and FA. • Establish quality programs and process controls for early detection of issues and ensure the highest level of quality and reliability is consistently delivered.

Minimum qualifications: • Bachelor's degree or equivalent practical experience. • Experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols. • Experience with LPIC or working with Linux (e.g., Red Hat, Slackware, Fedora, SUSE, Ubuntu, Debian, Gentoo), Unix (e.g., Solaris, AIX, HP-UX, BSD), or other similar Operating Systems. • Ability to work non-standard hours, including working weekends, holidays and on shift-based schedule as required. Preferred qualifications: • Experience in maintenance of server systems. • Experience working within a data center or network operation center environment. • Experience with troubleshooting hardware and network issues using Linux tools. • Knowledge of Networking, topology and protocol. • Ability to communicate in English fluently to liaise with the professional working environment. About the job Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology. Individuals applying for this position will not be eligible for immigration sponsorship. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities • Learn and apply skills in repairing and troubleshooting different machine platforms. • Participate in troubleshooting and resolve critical technical issues. • Test and troubleshoot new server and network hardware components and designs. • Install and maintain switches, routers, and other large scale networking gear. • Configure and troubleshoot Linux OS-related issues.