The Autonomous Vehicle (AV) organization needs to advance the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Behavior Validation team focuses on unlocking software launches and continuous release decisions via simulation verification and validation strategies, prototypes, and protocols.
Requirements
- Proficient with SQL, Python, and C++ for analyzing large data sets
- Experience with robotics, autonomous vehicles, vehicle development, or ADAS development
- Experience working with robotics simulation environments
- Experience analyzing automotive collision data
- Experience developing dashboards and data visualizations using tools such as Looker or Jupyter notebooks
- Industry experience in system engineering and requirements management including system analysis, requirements authoring, test generation, and validation activities
- Experience with requirements management tools (Jama, DNG, DOORS, etc.)
Responsibilities
- Define requirements and metrics for validating safe and comfortable autonomous vehicle operations.
- Own analysis and characterization of one or multiple autonomous behaviors, influencing software development and launch decisions
- Prototype and develop simulation-based and road-based testing strategies that support continuous and scaled software release cycles
- Combine experience in systems engineering and data analysis to facilitate data driven design, validation, risk analysis, and prioritization decisions
- Own roadmaps for developing long-term and stable requirements, verification/validation, and/or software solutions to advanced problems over multiple product lifecycles
- Mentor team members and facilitate cross-team collaboration to define behavioral validation strategies for new launches
Other
- Advanced degree in Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Data Science, or related fields
- 10+ years of experience in systems engineering, robotics, systems analysis, data analysis, statistical analysis, or other related fields
- Strong analytical thinking skills with the ability to interpret data and derive impactful conclusions
- Ability to adapt and operate under ambiguity, going from quick code prototypes to long-term plans on brief time horizons
- Excellent communication skills, capable of switching between high-level and detailed discussions
