Senior / Staff Embedded Software Engineer
Develop safety-critical embedded software for autonomous truck control, integrate sensors and actuation feedback, and help validate reliable vehicle systems alongside hardware, safety, and autonomy teams.
Develop safety-critical embedded software for autonomous truck control, integrate sensors and actuation feedback, and help validate reliable vehicle systems alongside hardware, safety, and autonomy teams.
Conduct AI research for autonomous vehicles, developing, training, and optimizing algorithms across areas such as perception, planning, controls, and simulation, with opportunities to publish and share work.
Drive the development and execution of automotive partnership strategies, negotiating with OEMs and collaborating across teams to enhance Waabi's business objectives.
As a Research Engineer in Neural Rendering, you will develop advanced multi-sensor rendering systems for autonomous driving, collaborating with top scientists and engineers.
Integrate, deploy, and debug sensor systems across autonomous vehicle platforms, solving field issues and collaborating with engineering and operations teams to build a reliable, production-ready sensors platform.
Own vehicle-platform requirements, architecture, and verification for autonomous vehicles, coordinating test campaigns and safety standards across engineering teams and external partners.
Optimize and deploy machine-learning models for autonomous trucks by expanding onboard inference across GPUs and embedded systems, building CUDA kernels, and profiling runtime and memory performance.
Build and scale the simulation platform behind Waabi World, designing orchestration across autonomy, actor models, and sensor simulation to accelerate autonomous vehicle development.
As a Research Engineer, you will advance and deploy AI algorithms for self-driving vehicles, collaborating with experts to enhance the technology's accuracy and safety.
Design and develop motion-planning algorithms for autonomous vehicles, enabling safe decision-making in dynamic, uncertain traffic while collaborating with engineers and research scientists on the autonomy stack.
Advance and deploy perception algorithms for self-driving vehicles, turning research into production-ready systems through experimentation, collaboration, and rigorous engineering.
Build reliable, scalable tools and frameworks for autonomous vehicle development, lead technical and architecture discussions, and mentor engineers while collaborating with multidisciplinary engineering and research teams.
As a Research Scientist, you will develop innovative AI technologies for fully driverless autonomous trucks, contributing to cutting-edge research and deployment in self-driving systems.
Page 3 Β· 61 results