Lead Vehicle Platform Safety Engineer

2 days ago


Pittsburgh, Pennsylvania, United States Aurora Innovation Full time

Aurora Innovation is revolutionizing transportation with self-driving technology.

The Senior Vehicle Platform Safety Engineer role plays a pivotal part in this mission, ensuring the safety and reliability of our autonomy capable vehicle platforms.

About the Role

We are seeking an experienced professional to lead all aspects of functional safety engagements with our automotive partners. This includes developing and maintaining the Safety Plan to capture the overall safety work at the vehicle level.

This critical position requires collaboration with automotive partners to tailor safety concepts to their specific needs, leading the development, maintenance, and release of functional and technical safety requirements.

Key responsibilities also include performing Safety Analysis on interface between Aurora Driver and the vehicle platform subsystems, as well as leading safety related integration and testing activities between the Aurora Driver and the autonomy capable vehicle platform.

Additionally, the successful candidate will support the development of the safety case for autonomous vehicles.

Requirements
  • Five or more years experience designing, developing, and validating safety-critical systems per ISO26262 or other relevant safety standards (IEC 61508, DO-178C, MIL-STD-882, etc)
  • Experience with safety analysis techniques such as Failure mode and Effect analysis (FMEA), Fault Tree Analysis (FTA), Failure Mode and Effects Analysis (FMEA) and Dependent Failure Analysis (DFA).
  • Understanding of safety mechanisms at the vehicle level and translating them into system architecture.
  • Experience with systems engineering requirements management tools.
  • Excellent written and verbal communication skills.
Estimated Salary Range: $163,000 - $245,000 per year

Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions.



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