Software Engineer - Collision Avoidance System Metrics

Zoox
Foster City, California, United States
Full Time
Hybrid
Mid
USD 185,000 – 251,000
Bachelor Degree
Software Science Rnd Non Medical

Posted 1 day ago

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Excellent 4.7

Job summary

The role involves analyzing urban driving data, developing metrics and tools for collision avoidance system performance evaluation, and collaborating with perception, planning, and system engineers. Key skills include C++, Python, distributed algorithms, and experience with large-scale data analysis and system validation in autonomous vehicle safety systems.

Responsibilities

You will develop metrics and tools to analyze petabytes of urban driving data to evaluate the performance of collision avoidance systems. You will collaborate with perception and planning engineers to define validation plans and system improvements for autonomous driving.

Qualifications

algorithms Bayesian statistics C++ distributed computing latency analysis petabyte-scale computing Python system metrics development system performance analysis urban driving data analysis

Candidates must hold a BS, MS, or PhD in computer science or a related field with fluency in C++ and/or Python. Extensive experience in programming and algorithm design is required, with bonus points for distributed computing and Bayesian statistics.

English

Benefits

  • Paid time off
  • Sick leave
  • Vacation
  • Bereavement
  • Zoox Stock Appreciation Rights
  • Amazon Restricted Stock Units
  • Health insurance
  • Long-term care insurance
  • Long-term disability insurance
  • Short-term disability insurance
  • Life insurance

Company

Zoox
Automotive
Location
Foster City, California, United States
Website
zoox.com

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Excellent 4.7
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