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 various sensors including EO, IR, acoustics, radar, and RF
• Collaborate with sensor, tracking, and autonomy teams to deploy heterogeneous platform swarms for DoD testing
• Deploy containerized solutions to embedded Linux devices using computer-in-the-loop testing and profiling
• Interact with DoD customers to understand requirements and triage needs during field events
• Drive execution of simulation tooling to playback sensors and autonomy for post-processing field test analysis
• Implement improvement plans for future integration efforts 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)
• Experience with multiple sensor modalities such as EO, IR, lidar, radar, sonar, or acoustics
• Experience training and deploying ML algorithms using Python, PyTorch, or TensorFlow
• Familiarity with tracking basics (e.g., Kalman filters) and optimal sensor fusion
• Proficiency working in Linux and Docker environments
• U.S. Citizenship is required
• Ability 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 an AI/ML focus
• Experience with robotic swarm or multi-agent systems and optimization
• Strong background in tracking and sensor fusion
• Current U.S. SECRET security clearance

Benefits

• Competitive base salary ($175K – $250K) and equity
• Comprehensive health, dental, vision, life, and disability insurance
• 401k retirement benefits with employer match
• Learning and wellness stipends
• Paid time off

About the Company

Applied Intuition is powering the future of physical AI. Founded in 2017, the company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet, servicing the automotive, defense, trucking, construction, mining, and agriculture industries.