This role is equal parts architect, operator, and diplomat — guiding a frontier technology from invention to urban streets.

Why Autobrains? Join a company redefining autonomy for the real world. Autobrains’ affordable Robotaxi program combines breakthrough AI with an obsession for practicality — enabling safe, scalable, and globally deployable autonomy, at a fraction of traditional cost.

You will lead the team that brings this vision to life.

Responsibilities:

• Robotaxi System Development
• Lead R&D for full Robotaxi stack: perception, prediction, planning, control, redundancy, safety, simulation, and fleet intelligence.
• Own system architecture decisions based on Autobrains’ Agentic AI, Air2Road, and Cloud-Defined Vehicle principles.
• Translate Level 4 performance targets into concrete engineering specifications, milestones, and validation plans.
• Oversee cross-company integration: edge compute, cloud orchestration, vehicle integration, tele-operations, and continuous learning pipelines.
• Fleet Operations & Deployment
• Build and manage Robotaxi pilot fleets in multiple cities; define operational playbooks, KPIs, maintenance cycles, and driverless operations processes.
• Establish real-time fleet monitoring and performance dashboards using digital-twin and simulation-during-driving capabilities.
• Coordinate with local regulators, municipalities, and partners to ensure safe and compliant deployment.
• Drive continuous improvement loops from real-world data back into the R&D roadmap.
• Partnerships & Ecosystem Leadership
• Lead technical and operational engagements with OEMs, mobility operators, cloud providers, Tier 1s, and city partners.
• Manage integration with partner hardware (compute, sensors, connectivity) and cloud infrastructure.
• Represent Autobrains’ Robotaxi vision in strategic, commercial, and regulatory forums.
• Organizational Leadership
• Build and mentor world-class engineering, operations, and program teams.
• Create a culture of technical excellence, accountability, and rapid iteration.
• Collaborate closely with the CADO, CEO, and cross-functional leaders to align on roadmap, funding, and global expansion.

Requirements:

• 10+ years of experience in Autonomous Driving, Robotics, Mobility, or related deep-tech fields.
• Proven leadership of large R&D groups (50+), ideally including Robotaxi, L4 systems, or scaled fleet operations.
• Strong understanding of distributed AI systems, perception/planning architectures, simulation, safety cases, and systems engineering.
• Hands-on experience launching fleets, pilots, or commercial AV products.
• Credibility with regulators, OEM partners, and technology vendors.
• Ability to operate at strategic altitude while diving deep into technical trenches.
• Execution strength and operational discipline suited to complex, safety-critical systems.