Robotic Software Engineer, Perception

Responsibilities

• Develop, integrate, and adapt cutting-edge AI/ML algorithms for the perception autonomy stack
• Create interfacing software to autonomously control sensors including EO, IR, acoustics, radar, and RF
• Collaborate across sensor, tracking, and autonomy teams for deployment in DoD testing events
• Deploy containerized solutions to embedded Linux devices using computer-in-the-loop testing
• Interact with DoD customers to understand use cases and triage needs during field events
• Drive execution of simulation tooling to playback sensors and autonomy for post-processing analysis
• Implement improvement plans based on simulation analysis and customer feedback

Requirements

• MS or PhD in Electrical Engineering, Computer Engineering, Robotic Engineering, Computer Science, Optimization, or equivalent
• Or 5+ years of relevant experience with sensor algorithms, hardware, and HIL software integration
• Experience with multiple sensor modalities (EO, IR, lidar, radar, sonar, acoustics, etc.)
• Core understanding of sensor physics and control parameters
• Experience training and deploying ML algorithms using Python, PyTorch, or TensorFlow
• Experience deploying models via ONNX or C++
• Familiarity with tracking basics like Kalman filters and optimal sensor fusion
• Proficiency working in Linux and Docker
• Ability to handle and process large datasets
• Must be a U.S. Citizen
• Must hold or be eligible to obtain and maintain a U.S. security clearance

Preferred Qualifications

• Proficiency with modern C++ (2011, 2017, 2020), 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

About the Company

Applied Intuition is powering the future of physical AI, creating the digital infrastructure needed to bring intelligence to every moving machine on the planet, servicing automotive, defense, trucking, construction, mining, and agriculture industries.