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.

We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions

About the role

The Mining Products team at Applied Intuition is building the autonomy stack that powers large-scale autonomous mining operations. As Tech Lead for the Autonomy Platform, you will sit at the intersection of hardware, embedded systems, and software — owning the foundational platform that makes autonomous mining vehicles work reliably in the field. Your scope spans two critical areas: the autonomy interface (low-level vehicle controls, control interface design, and system identification) and the software platform (health monitoring, diagnostics, telemetry, networking, and deployment). You'll work closely with partner teams building middleware, sensor drivers, and deployment frameworks, and enable those capabilities for the mining application specifically. The work is a blend of 0→1 bring-up on new vehicle platforms and building long-term systems for production scale.

At Applied Intuition, you will

Lead technical direction and mentor engineers for the Autonomy Platform team, setting architecture and execution priorities

Work with autonomy product team to define roadmap across internal product milestones and customer requirements

Own the low-level vehicle controls interface — designing and implementing the autonomy-to-vehicle control layer, including drive-by-wire integration and system identification for new mining platforms

Build and maintain the software platform that keeps autonomous vehicles healthy in production: health monitoring, diagnostics, telemetry pipelines, networking, and OTA deployment

Drive 0→1 bringup of new mining vehicle platforms, from initial hardware bring-up through software integration and field validation

Partner with internal teams to integrate shared capabilities and adapt them for the specific requirements of mining environments

Define and uphold engineering standards for reliability, safety, and scalability as the fleet grows toward full production deployment

We're looking for someone who has

7+ years of experience in embedded systems, robotics, or autonomous vehicle software development

Proven experience leading a technical team or functioning as a tech lead on a complex systems project

Hands-on background in robotics actuation — CAN, drive-by-wire, or similar control interfaces

Experience building or owning software platform components: health monitoring, telemetry, diagnostics, or deployment systems for production embedded platforms

Proficiency in C/C++ for embedded and real-time systems development

Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field

Nice to have

Experience in mining, construction, or agriculture autonomy — familiarity with the operating environment and vehicle types (haul trucks, dozers, drills, etc.)