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Robotic Software Engineer, Perception

Applied Intuition· Not specified
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San Diego, CA$140k - $220kFull-timePosted 10mo ago

About the role

Perception Autonomy engineer at Applied Intuition, focused on developing, integrating, and maintaining real-time sensor software for heterogeneous autonomous vehicles across domains (land, air, sea, space), with emphasis on AI/ML sensor algorithms, sensor control interfaces, and field demonstrations.

Responsibilities

  • 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
  • Create interfacing software to autonomously control sensors (e.g., EO, IR, acoustics, radar, and RF)
  • Collaborate across the sensor, tracking, and autonomy teams to ensure seamless deployment of heterogeneous platform swarms in on-site DoD testing and demonstration events
  • Deploy containerized solutions to embedded Linux devices, leveraging computer-in-the-loop testing and profiling, and efficiently collecting performance data
  • Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience
  • Work closely with our existing team to internally triage technical problems and scope
  • Carefully communicate and document ongoing work to ensure internal flexibility in a fast paced environment as well as clarify progress with external customers
  • Drive execution of simulation tooling to playback sensors, platforms, and autonomy in post processing field test analysis
  • Implement improvement plans for future integration efforts based on simulation analysis and customer feedback

Qualifications

  • 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

Skills

Required:Sensor modalitiesML frameworksTracking / sensor fusionLinux / Docker

Benefits

  • Base salary, equity, and benefits including health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, paid time off
Last updated May 26, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
Company profileWebsite

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