C++ Software Engineer (Autonomous Systems)

Applied Intuition; Ann Arbor (MI); On-site; USD 125,000 - 175,000; Full time

Benefits offered by this job

Health insurance

401k retirement benefits

Paid time off

Job summary

Applied Intuition is looking for a Software Engineer in Ann Arbor, Michigan, to develop and maintain software systems for autonomous vehicles. The role includes deploying and testing software in real-world environments, integrating sensors and autopilot systems, and collaborating with cross-functional teams. Candidates should have a strong background in Linux, Python, and C++, and be willing to travel as needed. The position offers a competitive salary range of $125,000 to $175,000 annually, along with comprehensive benefits.

Qualifications

• Strong proficiency in Linux and command-line tools.
• Hands-on experience with robotic systems and vehicle autopilots.
• Knowledge of communication protocols for inter-vehicle communications.

Responsibilities

• Develop, deploy, and validate software systems on autonomous vehicles.
• Participate in hands-on fieldwork, deploying software on vehicles.
• Work directly with sensors and vehicle autopilot systems.

Skills

Linux

Python

C++

Robotic systems

CI/CD tools

Communication protocols

Third-party software integration

Education

BS, MS or PhD in Robotic Engineering, Computer Science, Computer Engineering, Optimization

3+ years of experience in multi-agent autonomy

Job description

About the role

As a Software 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:

• BS, MS or PhD in Robotic Engineering, Computer Science, Computer Engineering, Optimization, or equivalent OR 3+ years of relevant experience designing multi‑agent autonomy

• 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.)

• Experience in integrating third‑party software and APIs

Travel Requirements:

• Must be willing to travel as projects requires; average travel varies, but can be up to once a month for up to 1 week (~25%)

Security Requirements:

• Must be a U.S. Citizen

• Must hold or be eligible to obtain and maintain a U.S. security clearance

For more information about U.S. security clearances: click here.

Nice to have:

• Ability to work in field environments, troubleshooting, testing, and deploying systems in challenging conditions

• Excellent communication skills, both written and verbal, with the ability to document processes and communicate technical concepts to cross‑disciplinary teams

• Ability to work in a fast‑paced, evolving environment, as well as working under challenging conditions in remote or field locations

• Familiarity with maritime vessels and/or airborne drones

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

For pay transparency purposes, the base salary range for this full‑time position in the location listed is: $125,000 to $175,000 USD annually.