
Autobrains is an industry-leading AI company specializing in affordable autonomous driving solutions powered by its patented Liquid AI technology. The company offers scalable front camera vision solutions compliant with global safety regulations and standards, enabling entry-level ADAS to full autonomous driving through its modular Skills product line. Autobrains' technology addresses key automotive AI challenges such as edge-case detection, high computational demands, and driver trust by mimicking human brain self-learning processes. With over 250 patents and more than $140 million raised, Autobrains has secured design wins in China and expanded globally with offices in Europe and Asia, positioning itself as a key player in automotive AI innovation.

Autobrains is an industry-leading AI company specializing in affordable autonomous driving solutions powered by its patented Liquid AI technology. The company offers scalable front camera vision solutions compliant with global safety regulations and standards, enabling entry-level ADAS to full autonomous driving through its modular Skills product line. Autobrains' technology addresses key automotive AI challenges such as edge-case detection, high computational demands, and driver trust by mimicking human brain self-learning processes. With over 250 patents and more than $140 million raised, Autobrains has secured design wins in China and expanded globally with offices in Europe and Asia, positioning itself as a key player in automotive AI innovation.
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.