Top Tech Jobs & Startup Jobs

Lead and hands-on manage development, training, evaluation, and deployment of a shared, camera-first perception model for diverse vehicle platforms and geographies. Drive model lifecycle from architecture through quantization and embedded deployment, collaborate with OEMs, perform failure analysis, and recruit and develop a perception engineering team focused on production driving outcomes.

Design, develop, and test backend and tooling for autonomy simulation products. Build features, integrate ML Sim Agent into closed-loop evaluation pipelines, optimize cloud compute/storage, and collaborate with infrastructure, robotics, and graphics teams to deliver scalable autonomy development tools.

Partner with marketing leadership to design and execute end-to-end hiring strategies for brand, growth, product marketing, and communications. Source and attract specialized marketing talent, run structured interviews, provide data-driven hiring insights, and support team design and long-term talent strategy to accelerate hiring velocity.

Build and maintain Android/Android Automotive OS middleware from front-end to HAL. Collaborate across application, middleware, and hardware layers to design, implement, and ship platform features and tools for vehicle software at scale.

Build and maintain workforce analytical models and dashboards, clean and validate HR data, produce executive reports and data-driven recommendations, support audits, and collaborate cross-functionally to improve retention, engagement, and talent programs.

Lead technical programs with DoD customers: act as single point of contact, manage project milestones and deliverables, drive proposals from RFQ, surface customer needs to internal teams, and coordinate resources and timelines. Requires hands-on program management and technical collaboration on autonomy, data, and simulation solutions.

Join Applied Intuition Research to conduct reinforcement learning research for large-scale closed-loop systems and VLA post-training, focusing on robotics and dexterous manipulation. Collaborate with research scientists and engineers to produce high-quality publications and develop methods deployable to autonomous vehicles and robotic systems.

Lead technical robotics software and AI for humanoid robots: design architecture, write production Python/C++ code, train and deploy learning-based policies, validate in simulation and on hardware, instrument and iterate on real robots, and recruit engineers.

Conduct research on reinforcement learning (large-scale closed-loop RL and VLA post-training) for robotics and dexterous manipulation; publish at top conferences; collaborate with research engineers to test and deploy algorithms to autonomy and robotics products using large-scale data and training infrastructure.

Provide first-line IT support and user lifecycle management, design scalable corporate IT infrastructure, troubleshoot systems (Linux/Windows/Mac), manage networks and SaaS integrations, create IT processes, and escalate complex issues to senior staff.