Job Description
The role involves leading safety claims and developing safety cases for autonomous driving systems, primarily focusing on AI components, to ensure the safe deployment of self-driving vehicles. It requires collaboration across teams to identify risks, validate safety measures, and support the deployment of Level 4 autonomous vehicles.
Key Responsibilities
- Own and author safety claims in the ADS safety case for onboard and offboard software, including AI components.
- Coordinate with cross-functional teams to develop and review safety system requirements, AI architecture, and supporting evidence.
- Manage safety claims by understanding ADS design, interfaces, and capabilities, and generate atomic claims through claim decomposition.
- Develop and track safety performance indicators to monitor L4 deployment safety.
- Identify and escalate safety risks, test gaps, and design or AI architecture issues, proposing mitigations to senior leadership.
- Support safety research, apply relevant technical standards, and ensure safety case compliance.
Requirements
- 5 years of technical work experience in a relevant area, of which 3 years should be in robotics software.
- Bachelor’s Degree, Master’s Degree, or Doctoral Degree in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or a related field.
- Working knowledge of and ability to apply systems engineering concepts of requirements, verification, and validation, with a deep understanding of how robotic systems work.
- Experience working in a safety-critical industry such as robotics, automotive, aviation aerospace, or medical devices for a complex robotic system.
- Hands-on experience with ISO 21448 and familiarity with ISO 8800.
- Ability to understand the ADS design, interfaces, and technical capabilities of the system to manage safety claims.
- Experience generating atomic safety claims through claim decomposition and delegating to cross-functional teams, as well as managing quality of delegated work.
- Experience reviewing and assessing evidence from evaluation and validation activities as arguments for safety case claims, working closely with verification and validation test teams.
- Ability to develop processes for and coordinate the tracking of safety performance indicators from various Systems Engineering and Software Evaluation teams to monitor Level 4 driverless deployment.
- Experience escalating functional and technical risks, identifying missing work items such as test gaps, ADS design risks, and AI architecture insufficiencies, and proposing mitigations to senior leadership.
- Support safety research and identify appropriate technical standards and best practices to support the safety case, applying them effectively.
Benefits & Perks
Compensation/salary range between $213,480 and $319,720 depending on experience and qualifications
Annual performance bonus
Equity
Competitive benefits package
Ready to Apply?
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