Top Tech Jobs & Startup Jobs

Develop and optimize a deep learning compiler stack to map neural networks (e.g., PyTorch) onto custom Mobileye hardware. Implement and optimize neural-network operations, use MLIR/LLVM, collaborate with open-source community, and influence future hardware/software design for efficient in-vehicle inference.

Design, train, and iterate whole-body reinforcement-learning policies in Isaac Sim/Newton for walking, balance recovery, manipulation, and loco-manipulation. Own reward design, curricula, large-scale training infrastructure, sim-to-real transfer, and on-hardware deployment in collaboration with Sim2Real and platform engineers.

Lead technical product management for Mobileye's autonomous vehicle features: define roadmaps, elicit requirements, set data-driven KPIs, coordinate cross-functional teams and external OEM partners, support pre-sales and onboarding, and ensure product quality and performance.

Research and develop algorithms for autonomous driving planning and decision-making. Model real-world driving scenarios as optimization, learning, or algorithmic problems. Apply classical algorithms, ML and deep learning, analyze large-scale driving data, and implement production-quality C++/Python code while building on state-of-the-art literature.

Build, operate, and optimize large-scale AI/HPC infrastructure across cloud and on-prem. Ensure reliability of platform services, troubleshoot kernel-to-networking issues, develop automation and observability, and collaborate with ML and IT teams to maximize hardware utilization.

Lead end-to-end execution of complex, multidisciplinary autonomous-driving projects: define requirements, plan and deliver, coordinate cross-functional teams, drive technical discussions, remove obstacles, report status to senior management, and collaborate closely with R&D on system architecture, sensor integration, OS development, and in-vehicle visualization.

Lead pre-silicon system-level verification of automotive AI accelerators and SoCs: define test plans, develop and run tests in simulation/emulation, build verification environments, and support full-chip verification through delivery.

Lead design, architecture, development, and maintenance of Python-based infrastructure and automation platforms. Improve system performance and scalability, ship features with cross-functional teams, write efficient maintainable code, troubleshoot issues, mentor engineers, and drive engineering culture and developer productivity.

Lead sourcing and supplier management for robot components (motors, gears, bearings, PCBs, sensors, machined and printed parts). Run fast-turn prototype procurement, negotiate pricing/lead times/IP terms, establish incoming inspection and supplier audits, manage small-batch production planning, track BOM cost and availability, and support global logistics and export processes.

Build automation tools and AI-powered internal solutions to improve engineering productivity and mass production of autonomous driving systems. Diagnose complex issues, design workflow orchestration and large-scale deployment tooling, and collaborate with R&D, validation, testing, and global teams to drive reliable production delivery.