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Build and optimize high-performance systems for large-scale ML training: profile and remove bottlenecks, optimize distributed training, develop GPU kernels (Triton/CUDA), and engineer high-throughput data pipelines to reduce time-to-convergence and improve reliability and cost-efficiency.

Lead improvements to decision-making, motion planning, and controls software quality for driverless vehicles. Implement validation, diagnostics, static analysis, compiler optimizations, and eliminate runtime allocations. Develop and deploy agentic AI tools to enforce design and validation principles, collaborate across subsystems, and present results to reduce failures before commercial launch.

The Principal Motion Planning Engineer will lead algorithm development for motion planning in autonomous vehicles, manage projects, and mentor team members.

Lead large, cross-functional technical programs for autonomy, owning model development and release cycles. Act as DRI for behavioral capabilities, integrate Prediction and ML Planning, dig into ML/behavior issues, identify and mitigate technical risks, and align roadmaps with engineering, product, and executive stakeholders to deliver driverless milestones.

Technical leader owning motion planning and trajectory optimization for production autonomous vehicles. Architect scalable C++ systems, integrate optimal-control solvers, define testing/simulation/CI tooling, lead cross-functional design, and mentor engineers to deliver safe, real-time on-vehicle implementations.

The Senior Automation Test Engineer will design and execute test automation frameworks for backend and frontend systems of the fleet operations platform, lead integration testing, and mentor a junior engineer.

The role involves developing perception components for self-driving vehicles, analyzing system performance, and collaborating with cross-functional teams to enhance technology.

The Staff Design Release Engineer will own the design and integration of compute and connectivity subsystems in autonomous vehicles, overseeing technical execution, documentation, and supplier alignment throughout the product lifecycle.

Lead a team building large-scale ML model evaluation and orchestration frameworks for autonomous vehicles. Own data analysis workflows, dataset creation, statistical model evaluation, regression reporting, and tool development (AWS Kubernetes orchestration, ReSimulation). Provide technical leadership, mentorship, and manage project timelines and deliverables.

Lead design, development, and integration of electrical and mechanical systems for autonomous vehicles. Architect and optimize vehicle networking (CAN, Automotive Ethernet), diagnose complex hardware-software issues with advanced test equipment, develop integration test plans, mentor junior engineers, and produce technical documentation and validation procedures while coordinating cross-functional teams and external partners.