Staff Software Engineer, Autonomy Evaluation joins the Evaluation team to build and evolve the ecosystem powering autonomous driving technology. This role involves developing metrics, automated workflows, and analysis approaches to enable data-driven decisions across development and verification. You will define strategies for evaluating performance across the autonomy stack, lead cross-functional efforts with systems and simulation teams, and invent statistical and machine learning methods to quantify behavior at scale. The work focuses on creating unified analytics frameworks, managing test scenario libraries, and establishing release gating components for autonomous vehicle safety. Required skills include extensive experience in robotics or autonomous systems software, proficiency in Python and C++, and expertise in evaluating complex dynamic systems using numerical and ML approaches on large-scale time series data. Preferred tools include Pandas, NumPy, SciPy, SQL, PyTorch, and ROS.
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Define the strategy and architecture for metrics and analyses to evaluate autonomous driving software performance across the autonomy stack.
Lead cross-functional efforts with engineering and data teams to embed evaluation into development workflows and release decisions.
Develop new statistical and machine learning methods to quantify performance, detect regressions, and reveal system behavior patterns.
Own and refine key AV evaluation metrics and KPIs used for critical readiness and safety decisions.
Synthesize and present results and trade-offs to stakeholders while providing insights through interactive dashboards.
Manage large-scale test scenario libraries and continuous evaluation pipelines as a system-level integrator.
Develop automated workflows and analysis approaches to enable data-driven decisions across the autonomous vehicle development lifecycle.
What we're looking for
Bachelor's, Master's, or PhD degree in Computer Science, Robotics, Mechanical Engineering, Aerospace Engineering, Machine Learning, or a related field.
7+ years of experience with robotics or autonomous systems software across perception, planning, and control subsystems.
3+ years of experience leading the evaluation of complex dynamic systems using numerical and ML approaches on large-scale time series data.
Proficiency in developing Python within production team environments.
Ability to work effectively within large C++ autonomy codebases.
Proven cross-team technical leadership including defining strategies and influencing system and architecture decisions.