Top Tech Jobs & Startup Jobs

Design and implement the car application that controls execution flow of software components on the Mobileye chip, manage sensor inputs (cameras, radar, vehicle signals), integrate data into algorithms to build a comprehensive vehicle worldview, work on real-time, automotive-scale systems, and collaborate across large software teams.

Lead system architecture for automotive ECU designs, define verification strategy and traceability, specify verification environments and evidence, align HW, embedded SW, validation teams and suppliers, support OEM/Tier1 reviews, ensure ASPICE Level 2 compliance, manage risks and drive mitigation across teams.

Lead end-to-end physical design for SoC blocks from RTL to GDS: floorplan exploration, synthesis, place-and-route, STA/timing closure, signoff (IR/EM, physical verification, LEC, low-power), and collaborate with front-end and architecture teams to optimize PPA.

Define and implement Linux/PCIe-based OS solutions for connectivity between EyeQ SoCs. Design SW stack for cross-chip communication, co-develop HW/SW with SoC architects, run performance analysis, PoCs, optimizations, and mentor kernel developers.

Design and develop software infrastructure and automation for Radar and LiDAR sensor platforms. Build scalable integration tools, automation pipelines, and system-level debugging to optimize performance across software, firmware, and specialized hardware accelerators. Collaborate with cross-functional teams to deliver robust production-ready sensing solutions.

Define system requirements and high-level designs for mmWave imaging radar embedded software. Lead architecture, resolve complex implementation issues, specify interfaces, identify risks, and participate across all development phases and design reviews while collaborating with architects and stakeholders.

Lead end-to-end physical design for SoC blocks from RTL to GDS: floorplanning, synthesis, place & route, STA, signoff (IR/EM, physical verification, LEC, low-power), and collaborate with front-end and architecture teams to optimize PPA.

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.

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.

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.