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About the Role

As a Software Engineer on the Autonomy team, you will be at the heart of our autonomy stack, building the software that drives multi-ton trucks autonomously on highways. You will own the real-time systems running 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 where 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.

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.

Requirements

Bachelor's degree in Computer Science, or a related field.
2+ 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

C++
Modern C++ standards
Linux
Protobuf
JSON
Robotics middleware (ROS or DDS)
AV perception, prediction, or planning systems
Vehicle data buses (CAN, Ethernet)
Multi-threaded programming
Concurrent programming

Location

Sunnyvale, California
Washington, D.C.
San Diego
Ft. Walton Beach, Florida
Ann Arbor, Michigan
London
Stuttgart
Munich
Stockholm
Bangalore
Seoul
Tokyo

Work Type

In-office
Occasional remote work

Experience Level

2+ years of professional experience

Education Level

Bachelor's degree in Computer Science, or a related field.

About the Company

Applied Intuition, Inc. is powering the future of physical AI.
Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet.
Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy.
Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence.
Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.
Learn more at applied.co.

Equal Opportunity

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor.
Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference.
These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin.
These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability.
The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.