Top Tech Jobs & Startup Jobs

Engage customers to gather requirements and define cloud communication system architecture. Derive system and software requirements, plan timelines, prioritize features, and lead cross-functional teams. Ensure quality by adhering to ASPICE and systems engineering practices, and bridge embedded/Linux environments with cloud backends. Support customer engagements, travel as needed, and collaborate with software architects, developers, and project managers to commercialize features.

Build and improve ML-driven data curation pipelines for large-scale autonomous-vehicle datasets: embedding extraction, scene detection, GPU inference orchestration, scoring, deduplication, sampling, dataset validation, SDK/tools, and collaboration with algorithm and infra teams to ensure balanced, high-quality training data.

Design and develop large-scale C++ network applications and company-wide simulation software for automotive real-time systems on Linux. Work with multiple sensors and ethernet network architectures, focusing on profiling, debugging, and performance optimization to enable Mobileyes autonomous-driving platforms.

Lead development of Python-based test content and end-to-end validation flows for autonomous vehicle systems. Design, implement, and review complex test solutions and system architecture, debug software system issues, and ensure compliance with autonomous vehicle industry standards.

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.

Lead block-level physical design from RTL to GDS, including floorplan exploration, STA, synthesis (netlist, scan, UPF), place & route and PPA optimization while collaborating with front-end and architecture teams.

Perform performance verification and profiling of EyeQ SoC designs, develop hardware virtual platforms and tracing/profiling tools, run CPU benchmarks and correlate virtual platform results with silicon, and collaborate with hardware architects and software, OS, and algorithm teams to optimize performance.

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.

Design and validate the robot's power system: battery pack and BMS, robot-wide high-current DC distribution, safety chain (e-stop, contactors), wiring harness routing, connectors and cabling, integration of compute and sensors, and measurement under locomotion loads.

Design, develop, implement and test control algorithms for autonomous vehicles. Run simulations, integrate algorithms with sensors, actuators and onboard hardware, work with communication interfaces, conduct customer-facing workshops, and test algorithms on vehicles.