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Applied IntuitionApplied IntuitionPoway, CA

Autonomy Integration Software Engineer

Develop, deploy, and maintain autonomy software for all-domain vehicles, integrating sensors, autopilots, perception pipelines, and inter-vehicle communications. Requires hands-on field testing on real vehicles, strong C++/Python and Linux skills, plus 5+ years in multi-agent autonomy or MS/PhD.

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 the Perception and Autonomy teams to deploy and optimize perception pipelines (Vision, Radar, Fusion) and vehicle autonomy software, ensuring robust and safe vehicle operation.
  • Address inter-vehicle communication, ensuring seamless data exchange between vehicles for collaborative autonomous operations.
  • Interface with and integrate third-party software and APIs into our systems.
  • Work on software integration, Continuous Integration/Continuous Deployment (CI/CD) processes, and implement system-related improvements to enhance system performance and reliability.
  • Leverage simulation environments to test vehicle systems, validating software behavior in various scenarios before field deployment.
  • 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.

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, GPS, SONAR), 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.
  • Must be willing to travel as projects require; average travel varies, but can be up to once a month for up to 1 week (~25%).
  • Must be a U.S. Citizen and hold or be eligible to obtain and maintain a U.S. security clearance.

Nice-to-Haves

  • 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.

Skills

C++PythonLinuxROSPx4JenkinsGitLabDdsUdpRos2RadarCamerasGpsSonarCI/CD
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