Senior Software Systems Engineer - Autonomous Vehicles

Job description

Job responsibilities

• Define AV evaluation and validation processes from initial concept through implementation, including test-framework requirements, scenario and test-suite design, coverage, metrics, and the evidence needed to assess…
• Design and implement scalable testing and simulation frameworks for test generation, execution, data collection, result aggregation, and reproducible analysis.
• Provide hands-on implementation of infrastructure and data solutions to assess confidence in AV performance using simulation and on-road data.
• Develop and apply methods to evaluate simulation validity, sim-to-real correlation, and the predictive value of simulation results.
• Proactively scope and identify metrics, sampling approaches, and analytical methods needed to improve evaluation workflows and close gaps in evidence.
• Contribute to automated triage and root-cause analysis strategies for AV deficiencies, regressions, and uncertainty in an end-to-end stack.
• Articulate insights, summaries, limitations, and recommendations to engineers, technical leaders, and other stakeholders based on continuous analysis of AV performance.
• Define and maintain scalable processes to identify, monitor, and improve evaluation KPIs and confidence measures.

Job requirements

• Strong Python programming skills, with experience building clear, maintainable analysis, evaluation, or testing tools.
• Experience designing or implementing testing, simulation, or evaluation frameworks for complex software/hardware or cyber-physical systems.
• Experience with GitHub, Jira, or equivalent tools.
• Demonstrated end-to-end ownership, from defining a problem through delivering and communicating the desired outcome.
• A track record of analytical and systems-engineering work involving complex software/hardware systems or ambiguous AI functions.
• Experience performing root-cause analysis and applying analytical methods to system or behavioral performance data.
• Ability to creatively solve problems with limited supervision, learn quickly, and operate effectively in a fast-paced environment.
• Strong cross-functional communication skills, including the ability to communicate data-driven findings to leadership.