Top Tech Jobs & Startup Jobs

Develop learning-based algorithms to reconstruct structured road vector maps from crowdsourced vehicle sensor data. Model road geometry, semantics, lane connectivity and global topology using graph and topological learning, generative methods, and 3D spatial reconstruction. Produce maintainable Python/C++ production code and participate in code reviews to iterate mapping pipelines.

Develop and deploy state-of-the-art multi-camera vision localization algorithms combining deep learning (Transformers, GNNs, CNNs) with classical geometric optimization to achieve centimeter-level vehicle localization on HD maps. Analyze real driving data, improve robustness across visibility conditions, and own solutions end-to-end from prototype to production.

Analyze autonomous driving performance from real-world testing, identify root causes of system issues, translate findings into actionable insights for engineering, collaborate with cross-functional teams, and provide high-impact feedback to improve Mobileye's AV stack and user experience.

Own the sim-to-real bridge for a full-size humanoid: build and maintain digital twins from CAD, model actuators from measured data, run system-identification campaigns, design domain randomization in Isaac Sim, manage deployment pipelines, generate synthetic data, and quantify and reduce the sim-to-real gap.

Develop and deploy generative and computer vision models (esp. diffusion-based) for autonomous driving. Own model training and adaptation, implement scalable Python/PyTorch solutions, collaborate with perception teams to integrate synthetic data, and drive research from prototypes to real-world AV use cases.

Design, build, and scale hybrid (AWS + on-prem) infrastructure for a large data platform supporting DL/ML. Lead projects from architecture to rollout, improve availability, resiliency, performance, and cost efficiency, develop shared templates and CI/CD tooling, evaluate new technologies, and act as a technical owner for observability and infrastructure standards.

Design and own compact, high-current motor controller PCBs for humanoid robot joints from schematic to bring-up, including inverter stage, sensing, protections, encoder and sensor interfaces, MCU/communication PHY integration, high-density thermal layout, EMI/EMC support, and fast iteration with suppliers.

Define Linux-based OS solutions for PCIe connectivity between peripherals and multiple EyeQ SoCs; design and implement the PCIe SW stack for cross-chip neural networks; collaborate on HW/SW co-development with SoC architects; perform performance analysis, feasibility studies, PoCs and optimizations; guide and mentor Linux kernel development engineers.

Develop and implement perception, mapping, computer vision, and 3D/sensor-fusion algorithms for AV/ADAS using Python and C++; work with image-based data, solve complex algorithmic problems, and collaborate with engineering and research teams to deliver real-world solutions.

Design and architect DFT solutions across SoCs (MBIST, SCAN, ATPG, LBIST), develop RTL, verify in gate-level simulation, ensure ATPG meets ISO26262 safety, analyze coverage/yield, and support production and silicon debug.