Senior Software Engineer - Vehicle Motion Planning & Control

About Zendar:

Zendar builds a radar-centric autonomy stack which makes any vehicle - from cars to robots - autonomous in any environment. With our deep radar DNA, we have architected our solution to put RF sensing at the core of all perception. The result is a system that handles long range, high speeds, and bad weather not as edge cases but as a core strength of the autonomy stack.

Because radars naturally measure both 3D position and velocity for every object in the environment, radar-centric autonomy is extremely compute- and data-efficient. Our autonomous vehicle needs only a few thousand dollars of hardware to make it completely autonomous, making this the cheapest way to build an autonomous vehicle by far.

See a demo of Zendar’s foundational RF perception and driving functions.

To develop this capability we had to build the entire stack in house - from radar sensor hardware to signal processing to multi-modal perception foundation models and path and trajectory planning. As part of a small team, you will have a front-row seat to seeing how a complete autonomy stack is architected and how your engineering decisions improve the ability to navigate autonomously in the real world.

Although AI is central to what we build, our hiring process is intentionally human: every résumé is reviewed by a real person.

Your Role:

The Vehicle Motion Planning & Control team is responsible for behavior and trajectory planning for our autonomous vehicle — deciding where the vehicle goes and how it gets there. The team also owns vehicle control (longitudinal and lateral) and the on-vehicle integration that makes our vehicles drive safely, comfortably, and predictably in the real world. The team's 6-month roadmap is to rapidly unlock new driving behaviors, like Navigate on Autopilot (NoA) on highways.

We are hiring a Software Engineer to join the team and you will own components from algorithm design through real-time C++ implementation, simulation, tuning, and on-vehicle validation. Because the team is small and the surface area is large, this role is ideal for someone with strong software fundamentals, a solid grounding in robotics or controls, and genuine eagerness to see their code move a physical vehicle.

Key Responsibilities:

• Design and Build the Motion Planning Stack
• Develop trajectory planning and decision-making algorithms that produce safe, smooth, dynamically feasible motion in dynamic, uncertain environments — including scenarios with noisy or incomplete perception input
• Reason about interactions with other road users and translate desired driving behavior into algorithmic changes across the planning stack

• Develop Vehicle Control Software
• Architect, implement, and validate control and estimation algorithms for the vehicle's longitudinal and lateral dynamics