Design behavioral and motion planning algorithms to improve driving behavior in new geofences and implement those designs in our code base.
Adapt existing algorithms and software modules for autonomous driving in new geofences.
Integrate and test your developed applications in the robot, learn, and make improvements.
Work collaboratively with cross-functional teams to support the integration and validation of software components and features for geofence expansion.
Support or lead vehicle testing to generate actionable feedback on driving performance.
Write and file patents for novel technologies you develop.
Master's degree in Computer Science or related field and 3+ years of experience
Proficient in C++ programming
Proven experience in at least one of the following domains: behavioral planning, motion planning, or mission planning for autonomous vehicles
Experience with behavioral and motion planning for high-speed autonomous driving
Experience with autonomous robots and machine learning or data-driven development processes
As a Software Engineer on the Vehicle Motion Planning & Control team, you will design algorithms and implement software to enhance the autonomous driving capabilities of vehicles.
Develop and maintain software that connects aircraft avionics, simulation models, test hardware, and engineering tools, enabling hardware-in-the-loop testing and helping teams diagnose integration issues before flight.
Extend the compiler frontend and intermediate representation to bring up emerging LLM architectures, preserve their quantization and numerical behavior, and validate models on simulators and FPGA prototypes.
The Software Engineer will contribute to the Billing Platform Team by developing and maintaining TypeScript microservices that manage the billing lifecycle and ensure data accuracy.
Own client-facing AI and data projects end to end, shaping architecture, building production data foundations and full-stack applications, and deploying systems that turn complex workflows into usable solutions.
