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Staff Functional Safety Engineer, Robotics Compute, DeepMind

DeepMind - Mountain View, CA, USA

Posted Jun 4, 2026

Benefits

Parental leave
18 weeks From the posting source
Non-birth-parent leave
18 weeks From the posting source
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Source-linked checked May 7, 2026
Salary
$256K-$279K From the posting source
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

139% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Data From the posting source
Seniority
Mid From the posting source

Schedule

Shift type
Not verified
Weekend work
Not verified

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Staff Functional Safety Engineer, Robotics Compute, DeepMind Mountain View, CA, USA At Google DeepMind Robotics we are pioneering bringing AI to the physical world. We are powering an era of physical agents, enabling robots to perceive, plan, think, use-tools, and act to better solve complex tasks. As a Staff Functional Safety Engineer, you will play a critical role in defining and implementing the functional safety architecture for high-performance robotics compute platforms. You will serve as a key bridge between high-level safety architectures and concrete deliverables. 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: $256000 - $279000 (USD) + 20% bonus target Learn more about benefits at Google . Design and implement hardware/firmware safety features, including safety islands and fallback mechanisms. Conduct FMEDA and fault injection campaigns to evaluate diagnostics. Lead testing and validation to ensure the entire hardware and software stack achieves strict certification against all targeted safety metrics and industry

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