Senior Systems Engineer - Autonomous Driving

What you'll do

• Develop use cases, system requirements, performance budgets, test cases, and critical performance metrics.
• Define and drive online and offline testing at vehicle and component levels, including dataset coverage and sampling strategies.
• Collaborate across engineering, safety, validation, and product teams to improve requirements, traceability, and verification.

What they ask for

• MS or PhD in Engineering, Physics, Computer Science, or a related field (or equivalent experience).
• 8+ years proven experience in safety-critical systems engineering, system analysis, data analysis, and software architecture.
• Strong software development background with proven coding skills.
• Hands-on experience in SOTIF analysis (ISO 21448), functional safety (ISO 26262), and multi-functional architectural trade-off analysis.

Nice to have

• Experience contributing to a launched L3/L4 autonomous vehicle program; AI safety and safety validation for ML-based systems.
• Hands-on experience with large-scale datasets, data science, and analytics workflows; proficiency in Python, SQL, and C++.

Pay

184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)

Tools

Python, SQL, C++, ISO 21448, ISO 26262

AI focus

Applies and validates AI and machine-learning approaches in autonomous driving, including safety validation for ML-based systems and consideration of end-to-end deep learning versus classical modular stacks.