Find Google DeepMind Senior Software Engineer software engineering jobs

A team of scientists, engineers, and ML experts advancing artificial intelligence for widespread public benefit and scientific discovery.

Google DeepMind is seeking a Forward Deployment Engineer to spearhead the development and deployment of cutting-edge applications utilizing Google's generative AI models. This role sits at the intersection of advanced AI research and practical product development, offering a unique opportunity to shape the future of AI applications.

As a Forward Deployment Engineer, you'll be responsible for rapidly developing new features and working across partner teams to deliver high-impact solutions for Google and its top customers. The position requires a strong foundation in software engineering combined with extensive experience in machine learning and AI technologies. You'll be working with state-of-the-art generative AI models and translating research breakthroughs into tangible products.

The ideal candidate brings 8 years of software development experience, with particular expertise in ML infrastructure and deployment. You'll need to demonstrate proficiency in Python and various ML frameworks, along with experience in cloud computing platforms. The role offers an exciting opportunity to work in a fast-paced environment where you'll lead the architecture and development of new products from conception to production.

At Google DeepMind, you'll be part of a diverse team of scientists, engineers, and ML experts working to advance artificial intelligence for widespread public benefit. The company values diversity of experience and perspectives, creating an inclusive environment where innovation thrives. With a competitive compensation package including a base salary range of $189,000 - $300,000, plus bonus and equity, this role represents an exceptional opportunity to work at the forefront of AI technology while making a meaningful impact on the field.

If you're passionate about building innovative AI products and have a proven track record of delivering high-quality software solutions, this role offers the perfect platform to advance your career while contributing to groundbreaking developments in artificial intelligence.

Senior Forward Deployment Engineer position at Google DeepMind focusing on developing and deploying novel applications using generative AI models.

Forward Deployment Engineer, Applied AI

Google DeepMind develops cutting-edge machine learning models and AI technologies for widespread public benefit and scientific discovery.

Google DeepMind is at the forefront of artificial intelligence research and development, working to advance the state of the art in AI technology. As a Research Engineer, you'll be part of a diverse team of scientists, engineers, and ML experts working on cutting-edge projects like Imagen 3 and Veo. Based in Seattle, you'll collaborate with teams globally, especially Google PAs, to improve model performance and expand capabilities.

The role focuses on applying research ideas to real-world problems, involving everything from prototyping and dataset curation to system building and deployment. You'll work on exciting areas including generative media, multimodal understanding, model optimization, and reinforcement learning.

The ideal candidate should thrive in ambiguous environments and be adaptable to changing project needs. Your strong background in machine learning, particularly with diffusion models, combined with hands-on experience using frameworks like TensorFlow, JAX, or PyTorch, will be essential for success.

This position offers competitive compensation ($161,000 - $245,000) plus bonus, equity, and benefits. You'll be part of a company that values diversity and creates extraordinary impact through AI technology. The role provides an opportunity to work on projects from conception to implementation, contributing to technologies that benefit billions of Google users worldwide.

Research Engineer position at Google DeepMind working on cutting-edge ML models and AI technologies in Seattle.

Research Engineer

A leading AI research company working on advanced machine learning and artificial intelligence solutions

Google DeepMind is seeking a Research Engineer to join their Media Understanding team, focusing on advancing state-of-the-art research in Embedding/representation models within large language models. This role presents a unique opportunity to work on the Gemini embedding project, a top priority initiative aimed at developing the most powerful omnimodal embedding model for retrieval and agentic use cases across Google products.

The position involves working at the intersection of research and practical implementation, where you'll be responsible for developing and productionizing next-generation models for multimodal understanding. You'll collaborate with a diverse team of research/software engineers, research scientists, and machine learning experts to create solutions that will impact billions of users worldwide.

Key aspects of the role include building various agentic Gemini demos, enhancing serving infrastructure for scalability, and working closely with product teams to implement and improve models based on real-world feedback. The ideal candidate should have either a Ph.D. in Computer Science or related field, or significant industry experience with machine learning and AI implementations.

This role offers competitive compensation ($182,000 - $215,000 plus bonus and equity) and the opportunity to work on cutting-edge AI technology that will shape the future of multimodal understanding. You'll be part of a team that values diversity of experience and perspectives, working in an environment that fosters innovation and impactful solutions for real-world challenges.

Senior Research Engineer position at Google DeepMind working on Gemini embedding and multimodal AI models

AI research company advancing artificial intelligence through scientific discovery and technological innovation

Google DeepMind is at the forefront of artificial intelligence research and development, working to create transformative technologies for widespread public benefit. This role focuses on building and exploring agent CUJs (Critical User Journeys) to create innovative user experiences. As a Senior Software Engineer, you'll work with cutting-edge LLM technologies, developing solutions that span from Android front-end development to server-side implementations.

The position involves working with a diverse team of scientists, engineers, and ML experts, contributing to projects like Project Astra. You'll be responsible for developing and implementing AI agent capabilities, working across the full stack from device-side front-ends to server back-ends and models. The role requires strong technical expertise in software development and a collaborative mindset to work effectively with interdisciplinary teams.

The ideal candidate will bring 5+ years of software development experience and a strong foundation in computer science or related field. Additional experience with ML systems integration, Google server development, and release processes would be advantageous. This is an opportunity to work on cutting-edge AI technology while ensuring safety and ethics remain at the forefront of development.

At Google DeepMind, diversity is valued and embraced, creating an inclusive environment where different perspectives contribute to extraordinary impact. The company offers competitive compensation, including a base salary range of $161,000 - $300,000, plus bonus, equity, and benefits, making it an attractive opportunity for those looking to make a significant impact in the field of AI.

Senior Software Engineer role at Google DeepMind focusing on AI agent development and implementation, requiring 5+ years of experience in software development.

Software Engineer

A team of scientists and engineers advancing artificial intelligence for widespread public benefit and scientific discovery.

Join Google DeepMind as an EDA Software Engineer and be part of a groundbreaking team working at the intersection of artificial intelligence and electronic design automation. We're seeking passionate engineers to revolutionize chip design through innovative software solutions. As part of our diverse and collaborative team, you'll develop cutting-edge EDA software, implementing novel optimization techniques and machine learning approaches to transform the future of electronic design.

Your role will involve hands-on coding, rapid prototyping, and building sophisticated software tools that bridge the gap between Verilog and GDSii. You'll work in a dynamic environment where innovation is paramount, and your contributions will directly impact the advancement of chip design technology. The position offers excellent compensation ($189,000 - $300,000), plus bonus and equity, reflecting the significance of your potential impact.

We value diversity of experience and perspectives, fostering an inclusive environment where different backgrounds contribute to extraordinary outcomes. You'll be part of a self-driven team that thrives on ambiguity, embraces continuous learning, and maintains high standards of engineering excellence. This is more than just a job – it's an opportunity to shape the future of electronic design while working with world-class experts in AI and hardware development.

If you're passionate about EDA, have a strong background in software development, and want to be at the forefront of applying AI to chip design, this role offers the perfect blend of challenge and innovation. Join us in our mission to advance artificial intelligence for widespread public benefit while working on some of the most complex and rewarding problems in technology.

Senior EDA Software Engineer position at Google DeepMind, focusing on developing innovative electronic design automation software using AI and machine learning.

EDA Software Engineer

AI research company focused on advancing artificial intelligence and robotics technology

Google DeepMind is at the forefront of AI and robotics innovation, seeking an Operational Safety Engineer to join their Robotics team. This role is crucial in developing safe AI-enabled collaborative robots for human environments. You'll work with a diverse team of scientists, engineers, and ML experts to advance 'Embodied AI' - creating robot brains that can transform natural language into physical actions.

The position combines robotics expertise with safety engineering, requiring you to perform risk assessments, implement cutting-edge safety solutions, and shape safety policies. You'll collaborate directly with researchers to accelerate robotics capabilities while maintaining strict safety standards. The role offers exposure to advanced humanoid robotics platforms and AI systems, making it perfect for someone passionate about both safety and innovation.

Working at Google DeepMind means joining a company that values diversity and creates extraordinary impact. You'll be part of a mission to improve billions of lives through responsible AI development. The compensation package is highly competitive, including a substantial base salary, bonus, equity, and comprehensive benefits.

The ideal candidate will bring technical expertise in robotics/computer science, practical safety experience, and the ability to work with various stakeholders. This is an opportunity to shape the future of robot-human interaction while ensuring the highest safety standards in AI-enabled collaborative robotics.

Senior Operational Safety Engineer position at Google DeepMind focusing on implementing safety solutions for AI-enabled collaborative robots.

Operational Safety Engineer

Google DeepMind is a leading AI research company focused on advancing artificial intelligence and its applications across Google products.

Google DeepMind is seeking a Research Engineer to join their Media Understanding team, focusing on advancing state-of-the-art research in Embedding/representation models within the context of large language models. This role presents a unique opportunity to work at the intersection of computer vision, language understanding, and multimodal AI systems.

The position is part of a dynamic team comprising research engineers, scientists, and machine learning experts working towards enabling superhuman understanding of the visual world. The primary focus is on developing the most powerful omnimodal embedding models for retrieval and other agentic use cases in Google products.

As a Research Engineer, you'll be at the forefront of developing models that impact billions of users worldwide. Your responsibilities will include conducting core research in computer vision and language understanding, training and evaluating AI models, and implementing cutting-edge deep learning approaches. The role requires collaboration with various teams to drive innovation and product development.

The ideal candidate should possess either a Ph.D. in Computer Science or related field, or a B.S./M.S. with 5+ years of relevant experience. Strong research experience, publication record, and hands-on experience with Google-scale infrastructure would be advantageous. The position offers competitive compensation ranging from $215,000 to $250,000, plus bonus, equity, and comprehensive benefits.

This role represents an exceptional opportunity to shape the future of multimodal AI while working with world-class researchers and engineers. You'll be contributing to groundbreaking research that directly impacts how Google products understand and interact with diverse media formats, including text, images, audio, and video.

Join Google DeepMind's commitment to diversity and innovation, where your unique perspective will contribute to creating extraordinary impact in the field of artificial intelligence and machine learning.

Senior Research Engineer position at Google DeepMind focusing on multimodal AI models and machine learning research.

Research Engineer, Media Understanding- Multimodal Representation Models

AI research company developing breakthrough AI technologies for Google's products and services

Join Google DeepMind's innovative team working at the intersection of AI and chip design. As a Research Engineer, you'll be part of a team that has already achieved significant breakthroughs, including winning the IWLS 2023 Programming Contest and developing AlphaChip, which was used in designing Google's TPUs.

You'll work on revolutionizing AI applications in chip design, developing state-of-the-art AI methods and models that directly impact Google's products and services. The role offers opportunities to work with advanced ML models, tackle complex chip design challenges, and collaborate with hardware engineers and architects to bring novel ideas to life.

The team consists of research scientists, research engineers, and software engineers working in a unique culture that encourages long-term ambitious research grounded in real problems. You'll be involved in breakthrough projects ranging from RTL generation and verification to logic synthesis and physical design.

This position offers a competitive compensation package including base salary, bonus, equity, and benefits. The ideal candidate will combine strong technical expertise in ML with an interest in chip design, capable of driving research from conception to production while excelling in cross-team collaborations.

Join us in exploring new frontiers in AI and chip design, contributing to groundbreaking research that shapes the future of computing hardware. Your work will directly influence Google's next-generation products and potentially transform the entire chip design industry.

Senior Research Engineer position at Google DeepMind focusing on applying AI and machine learning to revolutionize chip design and development.

Research Engineer - AI for Chip Design

AI research company working on advancing artificial intelligence for widespread public benefit and scientific discovery

Google DeepMind is at the forefront of artificial intelligence research and development, creating technologies that benefit humanity and advance scientific discovery. We're seeking a Senior Hardware Engineer to join our GenAI technical infrastructure research hardware team, focusing on groundbreaking silicon development for machine learning acceleration.

The role offers a unique opportunity to work with a diverse, interdisciplinary team of experts in machine learning, hardware, programming languages, and systems. You'll be instrumental in shaping the future of ML acceleration through cutting-edge architecture exploration and design. The position requires deep expertise in RTL design, micro-architecture definition, and system architecture evaluation.

As a Hardware Engineer, you'll be working in an environment that values innovation, flexibility, and adaptability. You'll be involved in critical decisions about performance, power, energy, and area trade-offs while collaborating with simulation and PD teams. The role requires both technical excellence and the ability to work effectively in a fast-paced, collaborative environment.

This is an exceptional opportunity for someone passionate about pushing the boundaries of AI hardware development. You'll be working with state-of-the-art technology and contributing to projects that could fundamentally impact the future of machine learning acceleration. The position offers competitive compensation, including equity and benefits, reflecting the critical nature of this role in Google DeepMind's mission to advance AI technology.

Senior Hardware Engineer position at Google DeepMind focusing on machine learning accelerator architecture and silicon development

Google DeepMind Senior Software Engineer Software Engineering Jobs

Find Google DeepMind Senior Software Engineer software engineering jobs