Robotic Software Engineer, Perception

Applied Intuition Applied Intuition · Robotics · Poway, CA · Government

Robotic Software Engineer focused on developing and integrating AI/ML sensor algorithms for autonomous vehicles. This role involves creating interfacing software for sensors, deploying solutions to embedded systems, and collaborating with autonomy and customer teams. Experience with sensor modalities, ML algorithm deployment, and Linux/Docker is required.

What you'd actually do

  1. Develop, integrate, and adapt cutting-edge AI/ML algorithms running on the perception autonomy stack to collect relevant information across a suite of platform sensors
  2. Create interfacing software to autonomously control sensors (e.g., EO, IR, acoustics, radar, and RF)
  3. Deploy containerized solutions to embedded Linux devices, leveraging computer-in-the-loop testing and profiling, and efficiently collecting performance data
  4. Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience
  5. Implement improvement plans for future integration efforts based on simulation analysis and customer feedback

Skills

Required

  • MS or PhD in Electrical Engineering, Computer Engineering, Robotic Engineering, Computer Science, Optimization, or equivalent OR 5+ years of relevant experience working with sensor algorithms, hardware, and HIL software integration
  • Experience with multiple sensor modalities (e.g., EO, IR, lidar, radar, sonar, acoustics, etc.)
  • Core understanding of sensor physics and sensor control parameters
  • Experience training and deploying ML algorithms (python, pytorch, tensorflow) onto integrated systems (onnx, C++ models)
  • Familiarity with tracking basics (e.g., Kalman filters) and optimal sensor fusion
  • Experience working comfortably in Linux and Docker
  • Prior experience with remote software development, ability to handle and process large datasets, and learn new software and algorithms as needed with little supervision

Nice to have

  • Proficiency with modern C++ development (2011, 2017, 2020, smart pointers, etc.), CMAKE, Python and Bash
  • PhD in computer science or electrical engineering with AI/ML focus
  • Experience with robotic swarm or multi-agent systems and optimization
  • Strong tracking and sensor fusion background
  • Current U.S. SECRET security clearance

What the JD emphasized

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

Other signals

  • Develop, integrate, and adapt cutting-edge AI/ML algorithms running on the perception autonomy stack
  • Create interfacing software to autonomously control sensors
  • Deploy containerized solutions to embedded Linux devices
  • Experience training and deploying ML algorithms (python, pytorch, tensorflow) onto integrated systems (onnx, C++ models)