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Applied IntuitionApplied IntuitionAnn Arbor, MI

Autonomy Integration Software Engineer

Develops, deploys, and maintains software for autonomous vehicles, integrating sensors, autopilots, and perception modules with hands-on field testing. Requires 5+ years experience or MS/PhD, C++/Python/Linux proficiency, and robotics knowledge.

140k – 175k
On-site5+ YOEEmbedded Engineering

About the role

Responsibilities

  • Develop, deploy, and validate software systems on autonomous vehicles, focusing on robotics, sensors, and vehicle autopilots
  • Participate in hands-on fieldwork, deploying software on vehicles and ensuring proper functionality in dynamic, real-world environments
  • Work directly with sensors (e.g., RADAR, cameras, GPS, SONAR) and vehicle autopilot systems, integrating them into the autonomous vehicle framework
  • Work with Perception and Autonomy teams to deploy and optimize perception pipelines (Vision, Radar, Fusion) and vehicle autonomy software
  • Address inter-vehicle communication, ensuring seamless data exchange between vehicles for collaborative autonomous operations
  • Interface with and integrate third-party software and APIs into systems
  • Work on software integration, Continuous Integration/Continuous Deployment (CI/CD) processes, and implement system-related improvements
  • Leverage simulation environments to test vehicle systems, validating software behavior in various scenarios before field deployment
  • Collaborate with cross-functional teams and document processes

Requirements

  • MS or PhD in Robotic Engineering, Computer Science, Computer Engineering, Optimization, or equivalent OR 5 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
  • Knowledge of communication protocols for inter-vehicle communications (e.g., DDS, UDP, ROS2)
  • Experience in integrating third-party software and APIs

Nice to Haves

  • Ability to work in field environments, troubleshooting, testing, and deploying systems in challenging conditions
  • Excellent communication skills
  • Familiarity with maritime vessels and/or airborne drones

Compensation

Base salary range: $140,000 to $175,000 USD annually (plus equity and benefits)

Skills

C++PythonLinuxROSPx4Ros2CI/CDJenkinsGitLabDdsUdpRadarSimulation

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