Senior​/Software Engineer, Behavior Verification - Autonomous Robotics Leader

Senior or Staff Software Engineer, Driving Behavior Validation

Define How Autonomous Driving Performance Is Measured

Join a cutting edge autonomous vehicle technology organization building a production ready self driving platform that integrates advanced artificial intelligence with automotive grade systems. This team develops and deploys a scalable autonomous driving solution used across robotaxis, commercial mobility fleets, and consumer vehicles. With years of real world testing and deployment experience, the organization is focused on delivering autonomy that is measurable, defensible, and safe.

In this role, you will sit at the center of that mission by defining how driving behavior is evaluated and validated. Your work will determine how safety is quantified across the full autonomy stack, from perception and prediction through behavior planning and control.

As a Senior or Staff Software Engineer focused on driving behavior validation, you will design and implement the metrics that assess end to end vehicle behavior within a defined Operational Design Domain. These metrics serve as a cornerstone for demonstrating safety, guiding development decisions, and supporting deployment readiness.

You will combine insights from robotics, machine learning, safety research, and real world testing to create rigorous evaluation frameworks. This role requires both deep technical skill and close collaboration across systems engineering, onboard autonomy software, simulation, data science, product, operations, legal, and public trust teams.

• Behavior Evaluation Metrics:
  Design and implement scalable, reusable metrics in Python that quantify the safety and performance of autonomous driving behavior.
• ML Driven Assessment Models:
  Integrate machine learning techniques and established safety research to construct computational models that evaluate end to end behavior.
• Multi Source Validation:
  Apply metrics across diverse data sources including synthetic simulation, log replay, closed course testing, real world driving logs, and third party incident reconstructions.
• Acceptance Criteria Definition:
  Partner with cross functional stakeholders to define measurable success thresholds and validation standards for behavioral performance.
• Automated Verification Pipelines:
  Collaborate with simulation and infrastructure teams to embed metrics into automated validation workflows.
• Safety Reporting:
  Produce detailed technical reports that clearly articulate system performance, residual risk, and readiness for deployment within the target Operational Design Domain.

• Five or more years of technical experience, including at least three years in professional software development.
• Strong programming expertise in Python or C plus plus, with experience building production quality evaluation tools.
• A degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, Physics, or a related technical field.
• Solid understanding of robotic systems architecture, including the interaction between sensing, localization, perception, prediction, planning, and control modules.
• Experience working with simulation environments and real world testing data for autonomous or robotic systems.
• Clear analytical thinking and the ability to communicate complex technical findings to diverse stakeholders.

• Background developing software for Level 4 autonomous vehicle systems.
• Experience building computational models of driving behavior or machine learning based evaluation frameworks.
• Familiarity with behavior planning or prediction system development and verification.

Autonomous driving systems must not only function, they must prove their safety through measurable, defensible evidence. The metrics and validation frameworks you design will shape how behavior is interpreted, improved, and ultimately trusted. If you are motivated by translating complex robotic decision making into rigorous, data driven safety arguments, this role offers the opportunity to influence autonomy at its core.