Senior Research Engineer, On-Device Inference, Robotics, DeepMind

Google LLC

Mountain View, CA

JOB DETAILS
SKILLS
Architectural Design, Artificial Intelligence (AI), C++ Programming Language, CPU (Central Processing Unit), Cloud Computing, Communication Skills, Computer Engineering, Computer Programming, Computer Science, Construction, Consulting, Cross-Functional, Data Mining, Electrical Engineering, Embedded Software, English Language, Equal Employment Opportunity (EEO), Financial Services, GPU (Graphics Processing Unit), Genetics, Hardware Architecture, High Availability, Internet Security, Internet of Things, JAX (Java API for XML), Machine Learning, Mandarin Chinese Language, Mechanical Engineering, Memory Hardware, Modeling Languages, Natural Language Processing (NLP), Network Operations Center, Operations Security (OPSEC), Performance Analysis, Performance Management, Performance Modeling, Performance Tuning/Optimization, Project/Program Management, Prototyping, Publications, Python Programming/Scripting Language, Recruiting/Staffing Agency, Regulatory Requirements, Robotics, Sales Management, Software Engineering, Stock Purchase Plans, Team Player, Technical Leadership, Testing, Use Cases
LOCATION
Mountain View, CA
POSTED
8 days ago

Senior Research Engineer, On-Device Inference, Robotics, DeepMind - Google Careers

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Senior Research Engineer, On-Device Inference, Robotics, DeepMind

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Minimum qualifications:

  • Bachelor"s degree in Computer Science, Electrical Engineering, or a related field or equivalent practical experience.
  • 8 years of experience in optimizing machine learning models for resource-constrained environments.
  • Experience in inference for Large Language Models (LLMs), including architectures like Mixture of Experts or diffusion models.

Preferred qualifications:

  • Experience with core software engineering and building highly available systems.
  • Experience with ML frameworks such as JAX, TensorFlow, or PyTorch, particularly focused on high-performance inference.
  • Understanding of techniques to align model architectures with AI accelerators (e.g., distillation).
  • Ability to articulate complex technical requirements and performance tradeoffs to engineering teams.
  • Excellent programming skills in Python and C++.
  • Excellent communication and collaboration skills, with a track record of driving and influencing cross-functional teams.

About the job

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

As a Research Engineer, you will lead the critical effort to adapt and optimize Gemini Robotics models for deployment in low-latency on-device applications. You will be driving strong alignment between specialized model architectures and edge device constraints. You will be articulating technical requirements and performance tradeoffs and influencing research and engineering teams across Google to deliver robust solutions. You will be passionate about the intersection of model optimization and hardware acceleration for use cases. You will possess deep knowledge of low-latency inference techniques across GPU, TPU, and CPU architectures and are skilled in collaborating across disciplines to achieve optimal system performance.

Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $301000 (USD) + 20% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Optimize model performance for on-device use cases (memory, power, compute constrained environments).
  • Influence future Gemini model architectures to match unique robotics use cases.
  • Optimize agent and system-level performance (e.g., orchestration of multiple models).
  • Drive strong alignment between model architectures and hardware architectures.
  • Engage directly with research, software engineering, and hardware engineering teams to deliver end-to-end solutions.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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