PlusAI

Join PlusAI’s Motion Planning team to develop safe, human-like decision-making and trajectory-generation systems for autonomous trucks. You’ll bring robotics and machine learning techniques from research into a production-grade, safety-critical vehicle platform.

Build and optimize the machine learning runtime powering production motion planning for autonomous trucks. This role combines high-performance C++, embedded inference, safety-critical validation, and deep debugging across the autonomy stack.

Join PlusAI as a Senior/Staff Machine Learning Engineer focused on reinforcement learning and learned motion planning for autonomous trucks. You will build end-to-end RL pipelines and deploy learned behavior-planning models across driving scenarios.

Build and deploy advanced machine learning systems for motion planning in autonomous trucks. This role owns the full ML lifecycle, from data and model development through safety validation, production deployment, and continuous improvement.

Build full-stack web applications, APIs, and backend services that help autonomy and ML teams author scenarios, run simulations, analyze drive logs, and act on results. This role offers ownership across Python services, TypeScript interfaces, data platforms, and shared application foundations.

Build and scale AI-powered simulation infrastructure that validates autonomous vehicle systems and closes the gap between simulated and real-world behavior. This senior role combines scalable pipeline architecture, simulation fidelity improvements, and LLM-powered analysis workflows.

Develop multimodal BEV perception models that fuse camera, LiDAR, and radar data for autonomous truck driving and 3D scene understanding. This role offers the opportunity to advance production-ready physical AI systems for autonomous vehicles.

Lead the design and implementation of high-fidelity mapping and localization algorithms for autonomous trucks, combining multi-sensor data with HD maps. This principal-level role tackles challenging environments such as GPS-denied tunnels and dynamic construction zones to support safe L4 autonomy.