Top Tech Jobs & Startup Jobs

Lead end-to-end deep learning R&D for computer vision object modeling. Design, implement, and improve algorithms; research new architectures; own projects; collaborate cross-functionally; and mentor algorithm developers to deliver robust AI solutions for autonomous driving and ADAS.

Own and optimize the robot onboard compute platform on NVIDIA Jetson: real-time Linux tuning, deploy low-latency neural-network inference (TensorRT, quantization, zero-copy), implement EtherCAT/CAN masters, integrate sensors (IMU, cameras), build deterministic middleware at control loop rate, and develop logging/replay tooling while collaborating with RL/Sim2Real and embedded teams.

Design and improve ML-driven data curation pipelines for large autonomous-vehicle datasets: embedding extraction, VLM scene analysis, scoring, deduplication, sampling, GPU inference at scale, validation/diagnostics, dataset SDK and 3D geometry tooling, and collaborate with algorithm and infra teams to close data gaps.

Lead design and development of Python-based test automation and end-to-end validation flows for Mobileye's autonomous driving platform. Drive system architecture reviews, implement complex test solutions, enforce industry standards, triage and debug software system issues, mentor automation engineers, and maintain CI/CD and Linux-based workflows.

Lead design, development, and maintenance of Python-based infrastructure and automation platforms. Own system architecture, optimize performance, mentor engineers, collaborate cross-functionally, write clean code, and troubleshoot production issues to support automotive software teams.

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.

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.

Design, build, and operate a scalable cloud-based data platform and pipelines (batch and real-time). Implement CI/CD, infrastructure-as-code, monitoring, security, and reliability for AWS-based data workloads while collaborating with data teams and stakeholders.

Lead architecture, design, development, and maintenance of Python-based infrastructure and automation platform. Improve performance and scalability, collaborate with cross-functional teams, write and optimize Python applications, troubleshoot issues, mentor engineers, and drive engineering best practices.

Define and analyze software and system architecture for Mobileye AV products, identify safety-critical areas, specify safety requirements, collaborate with R&D to implement solutions, train and advise teams on safety practices, and support customer and production engagements.