Top Tech Jobs & Startup Jobs

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.

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.

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.

Provide technical leadership for Mobileye Robotaxi L4 hardware platforms: set HW architecture and system strategy, lead complex investigations, own HW engineering execution, drive industrialization and AI-enabled workflows, mentor engineers, and align stakeholders to ensure engineering quality and delivery.

Design and train large-scale, multi-task deep learning models for Mobileye's autonomous stack. Build end-to-end DL pipelines (data prep, training, evaluation, deployment), optimize models for the EyeQ chip, and collaborate with software and hardware teams to convert research into production-ready systems.

Develop and own application-level real-time embedded software in modern C++ for automotive platforms: design, implement, integrate, test, debug, optimize, and mentor junior engineers while collaborating cross-functionally.

Design and implement RTOS-based embedded firmware in C, define HW–SW interfaces, develop device drivers, collaborate with system/algo/silicon/hardware teams, and support system integration for automotive radar sensors.

Design and train large-scale, multi-task deep neural networks for autonomous driving, optimize models for the EyeQ chip, develop end-to-end DL pipelines, collaborate with software and hardware teams, and deploy production-ready, performance-tuned systems.

Develop and debug low-level C/C++ software and HW drivers for Mobileye SoC under a custom RTOS on MIPS/RISC-V. Create and maintain system verification and integration tests in simulation, perform board bring-up, JTAG-based silicon debugging, and collaborate with ASIC designers to validate hardware features.

Design and implement high-performance C++ software for embedded automotive systems supporting HD map download, caching, storage, distribution, APIs, and map-based algorithms. Optimize for performance and reliability, collaborate with cross-functional teams, lead technical design discussions, and mentor engineers.