Design and build core motion planning and control systems that enable precise autonomous vehicle behavior at low speeds. You'll implement algorithms capable of deployment across diverse vehicle types, focusing on accuracy and reliability in constrained environments such as tight urban spaces or complex maneuvering scenarios.
Key Responsibilities
- Develop and deploy motion planning and control modules tailored to specific vehicle platforms, ensuring high-fidelity performance in real-world conditions.
- Analyze vehicle dynamics to fine-tune control systems, minimizing discrepancies between simulated models and actual on-road behavior.
- Incorporate findings from academic and industry research to build robust, optimization-driven control solutions using methods such as nonlinear model predictive control (MPC) and Model Predictive Path Integral (MPPI) control.
Qualifications
You bring a strong foundation in control theory, numerical optimization, and physics, with at least three years of experience developing production-grade software. Proficiency in high-performance C++ is essential, along with hands-on testing of control systems on real vehicles.
Advanced degrees in mechanical engineering or computer science—with focus areas in motion planning or controls—are highly valued. Additional assets include experience with safety-critical C++ standards (e.g., MISRA, AUTOSAR), optimization solvers, machine learning applications in dynamics modeling, and work across both passenger and large commercial vehicles.
Environment and Expectations
This role operates in a fast-moving, hands-on engineering culture where individuals lead technical decisions and collaborate directly with end users. You’ll work in close alignment with customers to gather insights and iterate quickly, contributing to a team that values precision, ownership, and technical rigor. Engineers are trusted to manage their schedules with flexibility while maintaining strong in-person collaboration.
The position is based in one of the company’s physical offices, with a five-day weekly on-site expectation. Occasional remote work is allowed for schedule adjustments, such as starting from home for early meetings or leaving early for personal commitments.
