Top Tech Jobs & Startup Jobs

Conduct research on 3D vision and generative foundation models (e.g., Gaussian splatting, multi-modal pretraining, world models) for autonomous driving and robotics. Publish at top conferences, collaborate with engineers on ADAS, data, and simulation, and deploy end-to-end algorithms and distributed ML training into production systems.

Provide first-line technical support, manage user onboarding/offboarding, design and build scalable corporate IT infrastructure, troubleshoot systems/networks/hardware/software, and escalate complex issues to senior staff.

Lead and scale end-to-end people programs across the employee lifecycle. Build documentation, processes, and compliance frameworks. Partner cross-functionally, analyze people data to improve programs, and own HR policy development and interpretation.

Lead hardware integration for autonomous vehicles: build, test, and maintain fleet hardware; design and install sensors and proof-of-concept systems; perform bring-up, shakedown testing, build test benches, troubleshoot electrical/computer/sensor systems, document procedures, and minimize vehicle downtime while ensuring safety.

Research intern working on reinforcement learning for large-scale self-play, VLA post-training, and neural simulation applied to autonomous driving and robotics; collaborate with scientists and engineers toward top-tier publications and deployable autonomy solutions.

Lead and grow an engineering team building data quality systems, intelligent labeling workflows, and large-scale data mining to surface edge cases. Drive integration of foundation models, set technical direction and roadmaps, partner with research and infrastructure teams, and hire and mentor engineers to scale high-fidelity labels and accelerate ML iteration for autonomy.

Build and productionize scalable backend services, APIs, and AI workflows to connect requirements, modeling, validation, and test data for autonomous vehicle programs. Implement traceability, versioning, dashboards, and KPIs, refactor prototypes into certifiable systems, and collaborate with systems engineering, safety, and autonomy teams to support compliance and validation at scale.

Join the Research Group to develop robot learning and autonomous driving technologies. Build mechatronic systems and data-collection hardware, create large-scale simulation environments for RL training, process human data for robotic tasks, collaborate on research publications, and work with engineering teams to deploy end-to-end algorithms and neural simulation tools for production systems.

Build and ship shared AI infrastructure, agent frameworks, and tooling; partner with product teams to productionize LLM and agentic features; own GenAI best practices for architecture, safety, evaluation, and deployment; develop agentic systems and AI SRE tooling; engage with customers to shape roadmap and demos.

Design and implement full-stack, infrastructure, robotics, and graphics software for autonomy products. Own technical and product decisions, collaborate with domain experts and customers, and deliver features and tools to accelerate autonomy development workflows.