Senior Software Engineer, World Model Systems Engineering - Autonomous Vehicles

What you'll do

• Derive system requirements from use cases and customer needs; analyze and allocate performance budgets.
• Plan validation, define test cases and metrics, and test performance and triage results.
• Analyze results and build dashboards while coordinating with hardware, safety, development, and product teams.

What they ask for

• MS or PhD in Engineering, Physics, Computer Science, Data Science, or a related field (or equivalent experience).
• 8+ years of systems engineering experience on complex systems, systems analysis, data analysis, and statistical analysis.
• Experience with verification and validation of world model stacks; VLMs, LLMs, and agentic workflows for automated triage; and data strategy definition.
• Proficiency with SQL and Python or C++; understanding of failure analysis methodologies such as Fault Tree Analysis (FTA) and MTBF decomposition.

Nice to have

• Experience with autonomous vehicles and/or machine learning, computer vision.
• Experience with large datasets, data science, analytics, or software engineering.

Pay

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

Tools

VLMs, LLMs, SQL, Python, C++, Fault Tree Analysis (FTA), MTBF

AI focus

Use VLMs, LLMs, and agentic workflows for automated triage; work on autonomous-vehicle perception, mapping, localization, and world-model stacks.