Self-Driving System (SDS) Engineering Head
Applied Intuition· Self-Driving Systems
TokyoFull-timePosted 2mo ago
About the role
Engineering Head for the Tokyo SDS team responsible for owning technical work, bringing the L2++ stack to Japanese OEMs, and defining the team’s architecture and roadmap for L2/L4 autonomous vehicles.
Responsibilities
- Lead a world-class group of engineers focused on building and deploying scalable behavior systems for cars
- Own technical delivery of SDS for Japanese customers
- Serve as the primary technical partner to Japanese OEM engineering teams
- Define the Tokyo team's engineering roadmap in partnership with SDS teams in HQ
- Drive the overall strategy, technical roadmap, and architecture dedicated to L2 and L4 autonomous vehicles for cars
Qualifications
- 6+ years of experience building software for autonomous vehicles, robotics, or ADAS, including work that shipped
- Strong C++ with a track record of production-quality code in safety-relevant or real-time systems
- Depth in at least two of: perception, prediction, behavior and motion planning, control, sensor fusion, on-vehicle systems and middleware
- Experience taking a system from prototype to on-vehicle deployment
- Demonstrated ability to architect large-scale, production software for real-world robotic or automotive systems
- Proven leadership experience managing engineering teams, setting goals, and overseeing technical projects
- Strong communication and problem-solving skills
Skills
Required:C++Systems architecturePerception / Prediction / Behavior and motion planning / Control / Sensor fusionLeadership / People managementCommunication
Benefits
- Lunch and dinner allowance
- Equity (RSU) offering
- English / Japanese language allowance
- Company sponsored housing program
- Pension plan (確定拠出年金)
Last updated Oct 11, 2026. Interested? Apply on the company site.
About Applied Intuition
Building vehicle intelligence | Applied Intuition
Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.
AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
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