Sensing & Perception Safety Engineer for Autonomous Systems

Zoox

Foster City (CA)

Hybrid

USD 170,000 - 267,000

Full time

3 days ago
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Job summary

Zoox is seeking a System Safety Engineer to perform safety analyses across sensing and perception systems for our autonomous mobility platform. You will collaborate with hardware, software, operations, and data science teams to define safety requirements and ensure fail-operational, reliable sensing capabilities.

Responsibilities include leading cross-functional projects, leveraging ISO 26262 and ISO 21448 standards, and driving data-driven safety validation.

Qualifications

  • BS or MS in Electrical/Electronics, Computer, Mechanical, CS, Robotics, Mechatronics, or related field.
  • 3+ years' experience in safety or systems engineering for high-integrity systems (Automotive/Robotics).
  • Experience communicating complex technical concepts to diverse stakeholders.

Responsibilities

  • Define safety requirements for sensing and perception subsystems.
  • Lead cross-functional projects across Software, Hardware, Operations, Data Science, and V&V teams.
  • Design safety mechanisms leveraging ISO 26262 and ISO 21448 standards.
  • Collaborate with teams to guide next-generation sensing architectures and sensor selection.
  • Analyze field and simulation data to identify root causes and next steps.
  • Leverage AI/LLM tools to accelerate analysis and automate repetitive processes.

Skills

System Safety
Sensing & Perception
Cross-functional collaboration
Safety analyses

Education

BS or MS in a related field

Tools

Polarion
DOORS
Jama

Job description

Zoox is seeking a System Safety Engineer to perform safety analyses across sensing and perception systems for our autonomous mobility platform. You will collaborate with hardware, software, operations, and data science teams to define safety requirements and ensure fail-operational, reliable sensing capabilities.

Responsibilities include leading cross-functional projects, leveraging ISO 26262 and ISO 21448 standards, and driving data-driven safety validation.

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