Senior Functional Safety Systems Engineer for AI IP

3 weeks ago


San Diego, California, United States PER International Full time

Our Client

We are collaborating with a leading Enterprise Semiconductor Manufacturer to recruit a top-tier Artificial Intelligence (AI) Intellectual Property (IP) expert for their Functional Safety team at the Sr Staff and Principal levels.

This company is a multi-billion-dollar SoC manufacturer with a global presence. Having expanded into the US market, they are now focusing on the automotive and server industries while maintaining their strength in mobile SoCs.

Key Responsibilities

  • Contribute to the end-to-end design process, providing input on functional safety (FuSa) and being involved in early-stage analysis and evaluations of functional safety architectures.
  • Develop architectural designs for vehicle level features, vehicle architectures, and IPs micro architectures.
  • Design and elaborate conventional and innovative functional safety concepts for future generation product capabilities.
  • Develop and review safety IP design.
  • Communicate and coordinate safety designs with IP teams.
  • Demonstrate understanding of vehicle dynamics.
  • Understand complex control system concepts and contribute to the development and implementation of the product strategic direction in functional safety / system safety.
  • Perform system safety analysis (ex: FMEDA).

Requirements

  • Master's Degree or PhD in electronic engineering or computer science + significant experience (6+ years).
  • Demonstrate and explain the most popular safety mechanisms or diagnostics used in a computing unit, their effectiveness, and purpose.
  • Good Machine Learning Fundamentals and understanding of its implications in functional safety.
  • Experience in IC design / architecture.
  • Understanding of Vehicle Dynamics (VD) and ability to conceptualize the Vehicle-as-a-System.
  • Able to collaboratively work with cross-organizations.
  • Familiar with automotive functional safety (ISO-26262).
  • Familiar with automotive system architectures (preferred).

Education

M.Sc. or Ph.D. in Electrical Engineering, Computer Engineering, Computer Science or relevant subjects.



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