Find Google DeepMind Senior Software Engineer software engineering jobs

A dedicated scientific community committed to solving intelligence and ensuring technology benefits society

Google DeepMind is at the forefront of artificial intelligence research, focusing on solving intelligence and ensuring technology benefits society. As a Research Scientist in Strategic Initiatives, you'll join a mission-driven team working on cutting-edge projects like SynthID and other strategic initiatives. The role involves collaborating with domain experts and ML scientists to advance trustworthy, robust, and reliable machine learning.

You'll be part of a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. The team works on various domains including ML robustness, synthetic media provenance, and data trustworthiness. Your research will directly impact the development of safe and reliable AI systems.

The ideal candidate brings strong ML expertise, demonstrated through a PhD or equivalent experience, with programming skills and quantitative abilities. Experience with GenAI, adversarial robustness, or watermarking is valuable but not required. The team values diverse perspectives and takes a holistic view of candidates' technical backgrounds.

This is an opportunity to work with world-class researchers, contribute to groundbreaking projects, and shape the future of AI technology. Google DeepMind offers an inclusive environment committed to equal employment opportunity, welcoming diverse experiences and backgrounds. Join us in pushing the boundaries of what's possible in AI while ensuring its responsible development and deployment.

Research Scientist position focusing on trustworthy, robust and reliable machine learning research at Google DeepMind

Research Scientist, Strategic Initiatives

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

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

Google DeepMind is at the forefront of artificial intelligence research, bringing together top scientists, engineers, and machine learning experts to advance AI for the benefit of humanity. This role presents an exciting opportunity to join their team as a Research Scientist/Engineer, focusing on enhancing LLM capabilities in solving planning and related problems.

The position offers a unique blend of theoretical research and practical application, where you'll investigate the theoretical limits of LLMs, their ability to compute optimal solutions, and how they interpret constraints and preferences. You'll work on both small and large-scale problems, with the opportunity to see your research implemented in Google products used by millions.

The ideal candidate will bring both research acumen and engineering expertise to the role. You'll be working in a dynamic environment that values diversity of experience and perspectives, with access to cutting-edge resources and collaboration opportunities with leading experts in the field. The role requires someone who can thrive in ambiguity and adapt quickly to changing priorities.

Key aspects of the role include conducting groundbreaking research on LLMs and planning problems, implementing solutions at scale, and working closely with product teams to bring innovations to market. You'll be supported by comprehensive benefits, including competitive compensation, health coverage, and various workplace amenities.

Located in either Mountain View, CA or Boulder, CO, you'll be part of a team that's shaping the future of AI technology. The position offers significant growth potential and the opportunity to work on projects that could fundamentally advance our understanding and application of large language models in planning and optimization problems.

This is an ideal role for someone passionate about AI who wants to contribute to meaningful research while seeing their work make a real-world impact. The collaborative environment, combined with Google DeepMind's resources and commitment to ethical AI development, makes this an exceptional opportunity for career growth and scientific contribution.

Research Scientist/Engineer position at Google DeepMind focusing on LLM capabilities in solving planning problems.

Research Scientist/Engineer - LLM Planning

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

Google DeepMind is at the forefront of artificial intelligence research and development, working to advance AI for widespread public benefit and scientific discovery. We're seeking a Software Engineer to join our Privacy Engineering team, focusing on private ML serving infrastructure for Google DeepMind and our product partners.

The role involves working on cutting-edge privacy-preserving technologies for GenAI-based agents, addressing crucial challenges in private inference using large models like Gemini, private AI agent memory, and developing privacy-preserving agentic capabilities. You'll be part of an ambitious Private Inference project, building infrastructure and researching new privacy-preserving methods.

As a Privacy Software Engineer, you'll work with state-of-the-art technology, implementing novel protocols and APIs, working with low-level components, and designing secure distributed systems at Google scale. You'll be responsible for defining threat models, implementing workloads on Trusted Execution Environments, and building transparent and secured storage systems for LLM servers.

The ideal candidate will bring strong technical expertise in security and privacy, with experience in distributed systems and proficiency in languages like Rust and C++. You'll have the opportunity to make a significant impact by creating reusable solutions for privacy-preserving AI agents across Google while contributing to the broader tech community through documentation and knowledge sharing.

Join us in shaping the future of AI privacy and security, working with a diverse team of experts committed to ethical AI development and widespread public benefit.

Privacy Software Engineer role at Google DeepMind focusing on building private ML serving infrastructure and privacy-preserving technologies for GenAI-based agents.

Privacy Software Engineer

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

Google DeepMind, a leading force in artificial intelligence research and development, is seeking a Senior Hardware Engineer to join their GenAI technical infrastructure research hardware team. This role presents a unique opportunity to work at the intersection of cutting-edge AI technology and hardware development, focusing on groundbreaking silicon for machine learning acceleration.

The position involves working with a diverse, interdisciplinary team of experts in machine learning, hardware, programming languages, and systems. You'll be at the forefront of developing next-generation machine learning accelerator architectures, contributing to both micro-architecture definition and RTL design. The role requires deep expertise in hardware engineering, particularly in areas such as RTL design, verification, and ASIC design flow.

As a Hardware Engineer at Google DeepMind, you'll be part of a unique culture that emphasizes long-term ambitious research and innovation. The company values diversity of experience, knowledge, and perspectives, creating an environment where groundbreaking ideas can flourish. You'll have the opportunity to work on projects that directly impact the future of AI acceleration, collaborating with some of the brightest minds in the field.

The ideal candidate should be comfortable with ambiguity and ready to tackle novel challenges in silicon design and architecture. The role offers competitive compensation, including a base salary range of $161,000 - $245,000, plus bonus, equity, and comprehensive benefits. This is an excellent opportunity for experienced hardware engineers who want to make a significant impact on the future of AI technology while working for one of the world's leading AI research organizations.

If you're passionate about pushing the boundaries of what's possible in hardware design for AI applications, have a strong background in RTL design and micro-architecture, and want to be part of shaping the future of machine learning acceleration, this role offers the perfect platform to achieve these ambitions while working on meaningful and impactful projects.

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

Hardware Engineer - GenAI Technical Infrastructure

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

Hardware Engineer

Google DeepMind is at the forefront of artificial intelligence research and development, working to advance AI for widespread public benefit and scientific discovery. We're seeking a Hardware Architecture Modeling Engineer to join our GenAI technical infrastructure research hardware team. This role presents an exciting opportunity to shape the future of ML Model inference acceleration.

As a Hardware Architecture Modeling Engineer, you'll be working with cutting-edge technology and collaborating with diverse teams of scientists, engineers, and ML experts. You'll be responsible for developing RTL implementations, conducting performance analysis, and creating architectural cost-models that will drive the next generation of AI hardware.

The ideal candidate thrives in ambiguous environments and is passionate about pushing the boundaries of silicon and system architecture. You'll need strong technical skills in both hardware and software domains, with experience in C++ and Python programming, and a deep understanding of ML acceleration architectures.

This role offers competitive compensation ($161,000 - $245,000), plus bonus and equity, along with the opportunity to work on revolutionary AI technology that could be one of humanity's most useful inventions. You'll be part of a team that values diversity of experience, knowledge, and perspectives, working in an environment where safety and ethics are the highest priority.

Join us in this challenging and rewarding role where you'll have the chance to make significant contributions to the field of AI hardware architecture and help shape the future of machine learning technology.

Senior Hardware Architecture Modeling Engineer position at Google DeepMind, focusing on ML Model inference acceleration and hardware architecture development.

Hardware Architecture Modeling Engineer

A team of scientists and engineers advancing artificial intelligence through research and development of cutting-edge AI technologies.

Google DeepMind is at the forefront of artificial intelligence research and development, working to advance the state of the art in AI technology. We're seeking a Senior Research Scientist to join an ambitious project focused on building generative models that simulate the physical world. This role is crucial in our journey towards artificial general intelligence through scaling pretraining on video and multimodal data.

The position offers an opportunity to work on world models that will power various domains, including visual reasoning and simulation, planning for embodied agents, and real-time interactive entertainment. You'll collaborate with prestigious teams like Gemini, Veo, and Genie, tackling critical new problems to scale world models to the highest levels of compute.

As a Research Scientist, you'll be responsible for implementing core infrastructure and conducting cutting-edge research in generative modeling. The role demands expertise in training world simulators at massive scale, developing metrics for physical intelligence, and working with multimodal language models. We emphasize simple, scalable methods and strong systems infrastructure.

The ideal candidate will have advanced education in computer science or machine learning, extensive experience with large-scale transformer models, and a proven track record in relevant research areas. You'll be joining a diverse team of scientists, engineers, and ML experts who value different perspectives and experiences.

The position offers competitive compensation ($136,000 - $245,000) plus bonus, equity, and benefits, reflecting the role's importance in advancing AI technology. Join us in creating extraordinary impact and pushing the boundaries of what's possible in artificial intelligence.

Senior Research Scientist position at Google DeepMind focusing on building generative models and world simulators for advancing artificial intelligence.

Research Scientist - World Models

Google DeepMind is at the forefront of artificial intelligence research, working to advance AI for widespread public benefit and scientific discovery. We're seeking a Senior Research Engineer to join our team working on the cutting-edge Gemini project.

This role focuses on the critical task of inference-optimized model design for Gemini pretraining, requiring expertise in both theoretical machine learning and practical implementation. You'll be working with state-of-the-art Large Language Models (LLMs), focusing on optimizing architecture selection for fast inference while maintaining predictable quality.

The position demands a deep understanding of XLA primitives and practical experience with JAX on TPUs. You'll be involved in implementing various distillation techniques and curating datasets for model training. The role spans the entire LLM preparation stack, from pretraining to serving, requiring both technical depth and breadth.

We offer a competitive compensation package ranging from $136,000 to $300,000, plus bonus and equity. Our benefits include comprehensive medical and dental insurance, enhanced parental leave, and flexible working options. The role is based in New York City, with relocation support available.

The ideal candidate will thrive in an ambiguous environment, demonstrate flexibility in approach, and have a proven track record in machine learning and large-scale model development. You'll be joining a diverse team of scientists, engineers, and ML experts working together to push the boundaries of AI technology.

This is an exceptional opportunity to work on groundbreaking AI technology that could be one of humanity's most useful inventions. You'll be part of a team that prioritizes safety and ethics while collaborating on critical challenges in the field of artificial intelligence.

Senior Research Engineer role focusing on inference-optimized model design for Gemini pretraining at Google DeepMind

Research Engineer - Gemini Pretraining

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

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 on the Gemini team, you'll be part of a diverse group of scientists, engineers, and machine learning experts working on one of the most advanced AI systems in the world.

The role focuses on developing and maintaining large-scale data pipelines crucial for Gemini's pre-training data, which directly impacts the model's capabilities and quality. You'll conduct empirical research, validate novel datasets, and work on innovative data processing techniques. This position requires a unique blend of engineering expertise and research acumen, particularly in large-scale data processing and machine learning experimentation.

You'll collaborate with various teams within the Gemini project, including Model, Infrastructure, and Post-Training teams, contributing to the development of scaling laws and understanding the interaction between large-scale training and data. The ideal candidate will have a strong background in distributed systems, empirical experimentation, and deep learning.

Google DeepMind values diversity and creates an inclusive environment where different experiences, backgrounds, and perspectives are celebrated. The company is committed to equal employment opportunity and uses its technologies for widespread public benefit and scientific discovery. This is an opportunity to work on cutting-edge AI technology while ensuring safety and ethics remain top priorities.

The position offers the chance to work with leading researchers, contribute to state-of-the-art generative models, and translate research into products that impact both Google and external applications. If you're passionate about AI, have exceptional engineering skills, and want to be part of shaping the future of artificial intelligence, this role provides an excellent opportunity to make a significant impact in the field.

Senior Research Engineer position at Google DeepMind working on large-scale data pipelines and machine learning experimentation for the Gemini AI system.

Research Engineer - Gemini

Google DeepMind is a team of scientists, engineers, and machine learning experts working to advance artificial intelligence for widespread public benefit and scientific discovery.

At Google DeepMind, we are seeking an experienced Production Engineer to lead and drive technology projects in our workplace. The Enterprise Engineering team designs, develops, and supports world-class infrastructure to accelerate our research progress. We are always looking to embrace cutting-edge technologies to provide the tools our research teams require to change the world!

This unique role offers a diverse workload from systems design and continual improvement to low-level support of the entire signal chain, from acquisition all the way through to Internet distribution. Reporting to the Head of Enterprise Engineering, you will help define and drive user requirements, be responsible for following design guidelines, owning technical design, and acting as a point of technical escalation for global event studios.

Key responsibilities include:
- Driving operational excellence by ensuring high availability and optimal performance across all research facilities
- Owning the detailed technical design of critical infrastructure
- Acting as the escalation point for critical system issues
- Proactively identifying emerging technologies and collaborating with vendors
- Managing site upgrades to ensure operational stability
- Partnering with research teams to understand their unique needs and provide tailored support
- Ensuring facility documentation is up to date and correct
- Leading research projects, managing suppliers, integrators, and budgets
- Establishing the feasibility of minor developments
- Acting as Engineer In Charge (EIC) for high-profile moments

We are looking for a candidate with deep Infrastructure Engineering experience, including:
- Expertise in IP video and audio technologies
- Strong grasp of IP networking
- Experience with broadcast systems
- Excellent problem-solving and communication skills
- Ability to work collaboratively and take initiative
- Passion for innovation and pushing the boundaries of broadcast technology

At Google DeepMind, we value diversity of experience, knowledge, backgrounds, and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of various protected characteristics.

Join us in our mission to advance the state of the art in artificial intelligence, using our technologies for widespread public benefit and scientific discovery while ensuring safety and ethics are the highest priority.

Senior Production Engineer at Google DeepMind to lead technology projects and support world-class infrastructure for AI research.

Google DeepMind Senior Software Engineer Software Engineering Jobs

Find Google DeepMind Senior Software Engineer software engineering jobs