Waabi

Build the infrastructure and developer platform that powers large-scale ML training, experimentation, and autonomous-systems simulation at Waabi. This role combines Kubernetes and GPU orchestration, ML tooling, data pipelines, observability, and developer experience to make research workflows reliable and fast.

Build and evolve interactive web and backend tools that accelerate Waabi’s self-driving development, including simulation, annotation, dataset curation, and result comparison applications. You’ll collaborate with researchers and engineers while mentoring teammates and shaping technical architecture.

Build and ship AI-powered tooling, agents, and workflows that improve productivity across Waabi’s engineering, research, and business teams. This hands-on role combines software engineering, AI tool integration, workflow design, and internal product enablement.

Build machine-learning-based vehicle control systems that combine learned models with classical control methods for safe, scalable self-driving. The role spans algorithm design, simulation, data tooling, and real-vehicle validation.

Lead software quality and fault tolerance for Waabi’s motion-planning architecture, helping ensure safe and reliable autonomous vehicle operation. This staff-level role bridges Motion Planning and Onboard Software while developing production-quality planning algorithms and managing research experimentation.

Develop software, firmware, simulation interfaces, and automated test infrastructure for Waabi’s hardware-in-the-loop benches supporting autonomous vehicle systems. This hands-on role combines embedded testing, automotive communication, hardware/software debugging, and CI-based validation.

Waabi is hiring a Senior / Staff Research Engineer to work on simulation assets and content systems supporting autonomous transportation. The role offers an opportunity to contribute to Physical AI technology at a rapidly growing startup.

Build and optimize distributed machine-learning training systems for autonomous transportation, improving stability, efficiency, and runtime performance. This role combines model profiling, GPU optimization, framework development, and collaboration with ML researchers and engineers.