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VP System Engineering & Fleet Full-time Job

4 weeks ago   Engineering   Jerusalem   2 views Reference: xkazmYl8eJ0
Job Details

Autobrains’ affordable autonomous driving platform connects edge agents running on low compute with a cloud-based digital twin and fleet intelligence engine.We are looking for a hands-on, highly technical VP System Engineering & Fleet to lead system integration, performance, safety, and large-scale fleet operations.Responsibilities: • Lead system engineering, integration, validation, and performance optimization across our full AD stack (perception, behavior, planning, cloud, safety).• Own the fleet intelligence loop: data pipelines, telemetry, simulation-during-driving, over-the-air updates, and real-time cloud reasoning.• Manage vehicle-level architecture, compute budgets, sensor configuration, and edge–cloud orchestration.• Drive large-scale testing: on-road fleets, simulation, digital twins, corner cases, and safety certification alignment.• Work directly with OEM and Tier1 engineering teams to deliver production programs at scale.• Build and lead a multi-disciplinary systems group (software, hardware, validation, cloud, safety).Requirements: • 10+ years in system engineering for automotive, robotics, or large distributed AI systems.• Deep understanding of ADAS/AD architecture, compute constraints, and real-time systems.• Experience with fleet data, cloud telemetry, OTA, simulation, or large-scale validation frameworks.• Ability to manage complex cross-functional programs end-to-end — from architecture to deployment.• Strong leadership, clarity, and technical depth.

Company Description
Autobrains affordable autonomous driving platform connects edge agents running on low compute with a cloud-based digital twin and fleet intelligence engine.We are looking for a hands-on, highly technical VP System Engineering & Fleet to lead system integration, performance, safety, and large-scale fleet operations.Responsibilities: Lead system engineering, integration, validation, and performance optimization across our full AD stack (perception, behavior, planning, cloud, safety). Own the fleet intelligence loop: data pipelines, telemetry, simulation-during-driving, over-the-air updates, and real-time cloud reasoning. Manage vehicle-level architecture, compute budgets, sensor configuration, and edgecloud orchestration. Drive large-scale testing: on-road fleets, simulation, digital twins, corner cases, and safety certification alignment. Work directly with OEM and Tier1 engineering teams to deliver production programs at scale. Build and lead a multi-disciplinary systems group (software, hardware, validation, cloud, safety).Requirements: 10+ years in system engineering for automotive, robotics, or large distributed AI systems. Deep understanding of ADAS/AD architecture, compute constraints, and real-time systems. Experience with fleet data, cloud telemetry, OTA, simulation, or large-scale validation frameworks. Ability to manage complex cross-functional programs end-to-end from architecture to deployment. Strong leadership, clarity, and technical depth.