Senior Robotics Engineer, AV Performance Diagnosis & Evaluation

Job description

Job responsibilities

• System Diagnosis & Root Cause Analysis: Perform deep technical investigations of undesirable AV behaviors across simulation, HIL, and on-road operations.
• Cross-Subsystem Debugging: Debug behaviors across perception, prediction, localization, planning, controls, and vehicle systems.
• Data Analysis & Tooling: Analyze large datasets from system logs, telemetry, and software outputs using Python. Develop automated diagnostic workflows and custom internal tooling using Python and Spaceship to increase…
• Performance Visualization: Design and build interactive dashboards using Python frameworks and Business Intelligence tools (e.g., Looker) to effectively measure, analyze, and report on the performance of our AV systems.
• Hypothesis Generation: Develop technical hypotheses from incomplete or ambiguous evidence, distinguish behavioral symptoms from underlying root causes, and design analyses to systematically test potential causes.
• Problem Space Identification: Autonomously identify recurring undesirable behaviors, regressions, and emerging system-level performance issues, categorizing them into meaningful failure modes.
• Technical Storytelling & Synthesis: "Dive deep" into technical complexities to uncover root causes, then step back to synthesize findings.

Job requirements

• Education: Bachelor's degree in Engineering (Computer Science, Electrical, Systems, Robotics) or equivalent work experience, with a Master's degree considered a strong plus.
• Robotics Experience: 5+ years of professional software or systems engineering experience working on safety-critical, complex systems such as Autonomous Vehicles, Robotics, Medical Devices, or Aerospace.
• Data & Analytics Expertise: Strong proficiency in Python for data analysis and scripting, backed by a strong understanding of modern software development principles.
• Systems Thinking & Quality: Strong analytical and problem-solving skills for complex system performance evaluation.
• Engineering Workflows: Proficient with Git and standard version control workflows, and entirely comfortable working in a fast-paced, agile, continuous integration/continuous delivery (CI/CD) environment.
• Autonomy & Communication: Proven ability to work both independently and effectively as part of a multidisciplinary team.