Compute Platform System Safety Engineer

System Safety Engineer

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and deploy such a robotaxi solution safely and reliably. We are seeking a System Safety Engineer to perform safety analyses of complex electronic and software-based-systems specifically high performance compute. The ideal candidate will be on the Zooxs System Design and Mission Assurance SDMA team to identify opportunities to improve adapt and generally refine our safety concept safety mechanisms to detect and mitigate hardware failures and residual risk assessments ensuring the safe deployment of autonomous driving technology.

Responsibilities

In this role you will:

• Execute and own the output of the Compute Safety Analysis FMEDA for various compute platforms for each milestone
• Respond to and aid in Root Cause Analysis RCA for safety-related Compute Platform field failures
• Collaborate with partner teams to improve diagnostic coverage against single point and multiple point latent failures on our existing hardware platform
• Work with other SDMA engineers to ensure requirements are well captured and structured to account for runtime and latent failures in the sensing perception and compute path
• Perform functional safety analysis to ensure the safety concept remains compatible with the core objectives of ISO 26262
• Work with partner teams to develop safety- and cost-optimized next-generation compute architectures. Guide the selection of next-generation compute and related hardware
• Lead cross-functional technical projects including interactions with teams such as Software Hardware Operations Data Science V&V to ensure we have the appropriate data to support our arguments and solutions that can meet our requirements

Qualifications

• BS or MS in a related technical field such as Electrical, Electronics Engineering, Computer Engineering, Mechanical Engineering, Computer Science, Robotics, or Mechatronics, etc.
• Experience as a Design or Systems Engineer for complex or mission-critical systems with high levels of fail-operational redundancy
• 3 years of hands-on systems safety or related engineering experience with a focus on analysis of safety critical high-integrity systems in Automotive ADAS Autonomous vehicles Aerospace or Robotics industries
• Effective communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders

Bonus Qualifications

• PhD in a related technical field
• Experience in the application of ISO 26262 Functional Safety and ISO 21448 SOTIF to L2L3L4L5 ADAS and autonomous vehicles
• Experience with FMEDA or FMEA for complete safety critical systems
• Experience with hazard analysis functional decomposition validation and verification
• Experience in systems with multiple layers of redundancies including but not limited to SIL 4, DAL A
• Experience with simulation and modeling of physical hardware/software systems or data-driven modeling and analysis techniques
• A reliability modeling background including the analysis of field data
• Experience using requirements management tools such as Polarion preferred DOORS or Jama
• Experience with Python and/or Databricks for data analysis and visualization

Compensation

The salary range for this position is $143,000 - $232,000 per year. Compensation will vary based on geographic location and level. Leveling as well as positioning within a level is determined by a range of factors including but not limited to a candidates relevant years of experience, domain knowledge, and interview performance.

Benefits

Zoox also offers a comprehensive package of benefits including:

• Paid time off (e.g. sick leave, vacation, bereavement, unpaid time off)
• Zoox Stock Appreciation Rights
• Amazon Restricted Stock Units (RSUs)
• Health insurance
• Long-term care insurance
• Long-term and short-term disability insurance
• Life insurance

About Zoox

Zoox is developing the first ground-up fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We are looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Accommodations

If you need an accommodation to participate in the application or interview process, please reach out to emailprotected or your assigned recruiter.

Final Note

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence AI tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.