Senior Engineer - Autonomous Vehicle Performance

Mission Summary

We are seeking a highly skilled and experienced Senior Engineer to play a critical role in evaluating and improving the performance of our autonomous vehicle (AV) technology. This position demands a strong technical understanding of Autonomous Vehicles, coupled with strong communication and presentation skills and the ability to coordinate and organize diverse organizations to achieve a single high value, high profile goal. A key focus of this role will be the demonstration of Motional’s AV technology to investors and partners. The ideal candidate will be passionate about autonomous vehicles and possess the technical acumen to understand AV performance and communicate what is happening on the road to both AV knowledgeable and other audiences.

What You’ll Be Doing

Evaluation of AV Performance Metrics: Collaborate with cross-functional teams, including systems engineers, software engineers, AI scientists, control engineers, simulation engineers, and validation teams to understand what is happening with the AV in on road situations and determine what options are available to resolve those issues in both the short and long term.  Areas of performance will include things like lane change, oscillation and braking metrics.

Operational Coordination and Execution: Work with diverse teams across autonomy, operations and core engineering to understand AV performance in specific environments, under specific conditions for the purpose of evaluating options.  This will involve coordinating multiple teams and workstreams on a tight timeframe through multiple iterations.

Communicating with Executives: As part of the Motional process there will be multiple iterations of executive review where you will be required to communicate a range of information from technical performance, RCA, through to different execution options.  Presentations will need to be both factual and data driven along with providing insight of what the numbers mean.

Decisive Decision Making: Real time decision making of day to day events based on preparatory work and data analysis that can be leveraged to address environmental conditions that are experienced on any given day.

Implement Procedures and Practices: Design and Implement best practices for on road experience evaluation that can be followed and repeated by the engineering and operational teams.

Documentation and Knowledge Sharing: Create clear and concise documentation for consumption by all parties involved in on road performance evaluation. Share knowledge and best practices with the wider operational and engineering teams.

Staying Current with AV Engineering Technologies: Continuously learn and evaluate new technologies and methodologies relevant to autonomous vehicles and data engineering.

What We're Looking For

• Minimum of 5-7 years of experience working with autonomous solutions.
• Bachelor's degree in Computer Science, Engineering, Robotics, or a related field. A Master's degree is a plus.
• Strong statistics background and data analysis skills used to determine performance in complex environments.
• The ability to understand complex technology stacks and how individual parts of the stack impact overall system performance.
• Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation.
• Executive presence such that you can work directly with the C suite, customers and investors.
• Composed and thoughtful decision making in high pressure situations
• Ability to work independently and as part of a multidisciplinary team.
• Strong attention to detail and a commitment to professional execution of all activities focusing on the quality and accuracy of data presented, the customer experience and Motionals progress as an AV company..
• Comfortable working in a fast-paced, continuous delivery environment.

Bonus Points (not required)

• Experience working with autonomous vehicle sensor data (e.g., LiDAR, camera, radar).
• Familiarity with simulation environments and data generated from AV simulations.
• Experience with data visualization tools (e.g., Looker) for presenting performance metrics.
• Knowledge of statistical analysis and machine learning techniques relevant to performance evaluation.
• Experience with real-time data processing and streaming technologies.