# Autonomy Integration Software Engineer at Applied Intuition

> Onsite · United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Aapplied%3A5db42c47-dde8-44d6-9a93-5bcd83a829c7 (read 2026-11-13).

## Facts (observed)

- Company: [Applied Intuition](https://alderhq.app/companies/applied-intuition)
- Location text: Ann Arbor
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: Ann Arbor")
- Posted: 2026-10-19 (25 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-13
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/applied/5db42c47-dde8-44d6-9a93-5bcd83a829c7
- Skills listed (inferred): Python, C++

## Pay and sponsorship

- Posted pay: $130k–$175k per year (from the listing's pay field)
- H-1B filings at this company for similar roles, FY26: 67, median offered wage $163k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))
- Licensed UK sponsor: registered as "Applied Intuition UK Ltd" (checked 2026-11-09, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers))

## Description (the employer's text)

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

As an AcuityOS engineer, you’ll develop, deploy, and maintain the backbone of all-domain autonomy capabilities, from inter-agent communications to hardware and simulation interfaces. Integration with new vehicles and hardware is a critical function. This position requires both field and office-based work, with significant time spent deploying and testing software on autonomous vehicles in real-world environments.

### At Applied Intuition, you will

Systems Engineering: Develop, deploy, and validate software systems on autonomous vehicles, focusing on robotics, sensors, and vehicle autopilots

Field Deployment & Testing: Participate in hands-on fieldwork, deploying software on vehicles and ensuring proper functionality in dynamic, real-world environments

Interfacing with Sensors and Autopilots: Work directly with sensors (e.g., RADAR, cameras, GPS, SONAR) and vehicle autopilot systems, integrating them into the autonomous vehicle framework

Perception & Autonomous Modules: Work with the Perception and Autonomy teams to deploy and optimize perception pipelines (Vision, Radar, Fusion) and vehicle autonomy SW, ensuring robust and safe vehicle operation

Communication Systems: Address inter-vehicle communication, ensuring seamless data exchange between vehicles for collaborative autonomous operations

Third-Party Software Integration: Interface with and integrate third-party software and APIs into our systems

Software Quality & CI/CD: Work on software integration, Continuous Integration/Continuous Deployment (CI/CD) processes, and implement system-related improvements to enhance system performance and reliability

Simulation & Testing: Leverage simulation environments to test vehicle systems, validating software behavior in various scenarios before field deployment

Collaboration & Documentation: Collaborate with cross-functional teams, including software engineers, data scientists, and field operators, to ensure the successful deployment of systems. Document processes and provide updates on system status and improvements

### We’re looking for someone who has

MS or PhD in Robotic Engineering, Computer Science, Computer Engineering, Optimization, or equivalent OR 5 years of relevant experience designing multi-agent autonomy

2+ years of professional experience in industry.

Strong proficiency in Linux and command-line tools

Strong proficiency in Python and/or C++ (most work is in C++)

Hands-on experience with robotic systems, sensors (such as RADAR, cameras, radar), and vehicle autopilots (e.g., PX4, ROS)

Experience with CI/CD tools such as Jenkins, GitLab, or similar tools for automating deployments and testing

Knowledge of communication protocols for inter-vehicle communications (e.g., DDS, UDP, ROS2, etc.)

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Aapplied%3A5db42c47-dde8-44d6-9a93-5bcd83a829c7 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.