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Software Engineer - Autonomy

Applied Intuition· Self-Driving Systems
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TokyoFull-timePosted 3mo ago

About the role

Onboard real-time software engineer on the Autonomy team focused on perception, planning, and safety-critical systems for highway-autonomous trucks. Role involves delivering production-grade C++ onboard software, collaborating with autonomy domain experts, hardware, and validation teams, and productionizing research algorithms.

Responsibilities

  • Design, implement, and optimize real-time onboard software modules including perception, sensor fusion, path planning execution, vehicle control, and safety monitoring.
  • Maintain and improve the middleware layer connecting sensor hardware (lidar, radar, cameras, GPS/IMU) to autonomy algorithm consumers.
  • Own latency and throughput performance across the onboard compute stack, profiling and tuning for deterministic behavior under resource constraints.
  • Implement ASIL-relevant architecture patterns including fault detection, isolation, and recovery mechanisms.
  • Build diagnostics, logging, and observability tooling to support post-drive analysis and rapid root-cause investigations.
  • Write thorough unit, integration, and hardware-in-the-loop (HIL) tests; contribute to CI/CD pipelines for onboard compute targets.
  • Collaborate with the autonomy team to productionize research algorithms, translating prototype SW into efficient C++ deployments.

Qualifications

  • Bachelor's degree in Computer Science, or a related field.
  • 5+ years of professional experience in software development.
  • Exceptional proficiency in C++ and experience with modern C++ standards.
  • Experience working in a Linux environment.
  • Knowledge of data serialization formats (e.g., Protobuf, JSON).

Skills

Required:C++ programmingLinuxData serialization (Protobuf, JSON)
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
Company profileWebsite

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