Top Tech Jobs & Startup Jobs

Lead applied research and POCs for perception and autonomy systems. Design and implement end-to-end multi-camera, multi-modal vision solutions (detection, tracking, 3D reconstruction, fusion, motion prediction) and translate research into validated POCs for production deployment in autonomous vehicle platforms.

Design and deliver scalable validation frameworks and tooling for REM mapping and localization. Build data validation infrastructure, integrate analysis tools and pipelines, define metrics to assess map quality, manage data platforms (lakes/warehouses), and prioritize daily tasks while improving validation efficiency and scale.

Design and implement the car application controlling execution flow and sensor integration (cameras, radar, car signals). Build scalable C/C++ software on Linux, collaborate cross-team, and support automotive real-time system architecture for autonomous driving.

Lead large-scale, cross-functional technical programs across engineering, research, and infrastructure teams. Establish processes, coordinate planning and execution, manage timelines, validation, data readiness, integrations, and infrastructure capacity. Track KPIs, align roadmaps, identify risks, remove technical blockers, and drive continuous process improvements to ensure teams deliver strategic and technical objectives.

Lead Mobileye’s business development efforts in Japan by managing key OEM relationships, identifying new partners, driving opportunities, coordinating customer evaluations and demonstrations, supporting RFI/RFQ discussions, analyzing markets and competitors, and reporting progress to leadership. The role requires strong ADAS/AV industry expertise, established relationships with major OEM decision-makers, and frequent client and industry-event travel.

Develops advanced 3D perception models for autonomous vehicles, focusing on semantic occupancy, geometry reasoning, reconstruction, object detection, multi-view fusion, and spatial representation learning. Integrates deep learning models into production systems running on real vehicles. The role requires strong machine learning, deep learning, and Python skills, with opportunities to apply computer vision and robotics expertise in a research and development environment.

Lead design and implementation of end-to-end security architecture for radar hardware, firmware, and software. Perform TARA/threat modeling, secure communications and API design, ensure ISO 21434/UNECE WP.29 compliance, support incident response, collaborate with R&D, and evaluate security tools for radar-specific applications.

Act as technical solution architect and product manager for ADAS and autonomous vehicle software platforms; plan and execute cybersecurity activities; liaise with customers on cybersecurity requirements; maintain requirement documentation; lead cybersecurity discussions and improve cross-team processes to meet time-to-market and quality goals.

Serve as a technical solution architect and product manager for ADAS and autonomous vehicle software, plan and execute cybersecurity activities, work with internal teams and external customers to define requirements, ensure implementation and validation to production, maintain requirement documentation, and improve cross-team processes.

Lead and manage multi-disciplinary radar imaging development projects through all phases. Plan, track, and report progress, mitigate technical and execution risks, coordinate VLSI/RF/system/HW/algorithms/SW/validation teams, and ensure on-time delivery meeting KPIs and budget.