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.