Joblaze summary

In the role of Software Engineer on the Autonomy team, the individual will develop and optimize real-time software that enables autonomous trucks to operate safely on highways. Key skills include advanced proficiency in C++ and experience in a Linux environment, with a focus on real-time systems and middleware integration. This position is ideal for seasoned engineers with a background in software development, particularly those familiar with autonomous vehicle technologies. The team emphasizes collaboration across various disciplines to ensure the reliability and safety of their cutting-edge solutions.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Applied Intuition's careers page October 27, 2026.
C++ appears in 9.2% of 552 comparable senior ai/ml roles in United States; Linux appears in 2.7% of 552 comparable senior ai/ml roles in United States.

Quick facts

Is the Software Engineer - Autonomy role remote?: No — this is an on-site role in Tokyo.
How much experience is required?: At least 5 years of relevant experience for this Software Engineer - Autonomy role.
Where is the role based?: Applied Intuition is hiring for this position in Tokyo.
What's the tech stack?: Joblaze extracted these technologies from the posting: C++, JSON, Linux, Protobuf.
What seniority level is this role?: Applied Intuition targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Software Engineer - Autonomy role at Applied Intuition.

From the original posting

About the role
As a Software Engineer on the Autonomy team, you will be at the heart of our autonomy stack. We are building the software stack that drives multi-ton trucks autonomously on highways. As an Onboard Software Engineer, you will own the real-time systems that run directly on the vehicle compute platform - from sensor data ingestion and perception pipelines to motion planning execution and safety arbitration. Your code ships on trucks, not just in simulation.

This is a deeply cross-functional role. You will collaborate daily with autonomy domain experts, hardware engineers, safety leads, and validation teams to turn algorithms into production-grade software that operates safely and reliably at highway speeds.

At Applied Intuition, you will:

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.

We’re looking for someone who has:

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).

Nice to have:

Experience with robotics middleware like ROS or DDS.
Background in AV perception, prediction, or planning systems.
Familiarity with vehicle data buses (e.g., CAN, Ethernet).
Experience with multi-threaded and concurrent programming.
Experience in a startup or fast-paced environment.

Standard company text repeated across Applied Intuition's postings is omitted here.

Software Engineer - Autonomy

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