Staff Functional Safety Engineer, Robotics Compute, Deepmind

Google Google · Big Tech · Mountain View, CA +1

Staff Functional Safety Engineer for robotics compute platforms at Google DeepMind, focusing on designing and implementing functional safety architectures for AI-powered robots. The role involves ensuring compliance with safety standards, collaborating with AI research teams, and overseeing the deployment of complex electromechanical systems.

What you'd actually do

  1. Design and implement hardware/firmware safety features, including safety islands and fallback mechanisms. Conduct FMEDA and fault injection campaigns to evaluate diagnostics.
  2. Lead testing and validation to ensure the entire hardware and software stack achieves strict certification against all targeted safety metrics and industry standards.
  3. Collaborate with research teams to develop safety architectures for robotics models. Define safety goals, concepts, and cases. Specify target safety standards (e.g., ISO 26262, IEC 61508, ISO 10218, ISO TS 15066) and determine required integrity levels (SIL/ASIL).
  4. Guide engineering teams through safety and reliability methodologies (HARA, DFMEA, Fault Tree Analysis). Perform structured root cause analysis to resolve system failures.
  5. Communicate effectively with both expert engineers and executive leadership. Oversee the deployment of complex electromechanical systems into large-scale, real-world operations.

Skills

Required

  • systems automation
  • systems design and implementation
  • technical infrastructure (e.g., deployment, maintenance, troubleshooting)
  • reliability of technical infrastructure
  • system safety or functional safety projects
  • functional safety standards (IEC 61508, ISO 13849,1SO 10218,ISO 26262, ISO 21448, or similar)
  • functional safety engineering for embedded systems, automotive, robotics, or other hardware

Nice to have

  • Master's degree or PhD in a related technical field
  • Certified Functional Safety Engineer(CFSE) or Certified Functional Safety Professional(CFSE) by TUV, Exida, or equivalent
  • Experience working with external partners or vendors on safety assessments and system reviews
  • Familiarity with highly integrated edge systems, high-performance computing, or mixed-criticality systems

What the JD emphasized

  • functional safety architecture
  • functional safety
  • functional safety engineering
  • safety standards
  • safety metrics
  • safety goals
  • safety concepts
  • safety assessments
  • safety reviews

Other signals

  • pioneering bringing AI to the physical world
  • powering an era of physical agents
  • robots to perceive, plan, think, use-tools, and act
  • safety architectures for robotics models