Perception Robotics Software Engineer (Real-Time AI/ML)

Front Door Defense

Sunnyvale (CA)

On-site

USD 175,000 - 250,000

Full time

14 days+

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Job summary

Applied Intuition seeks a Perception Autonomy Engineer to develop real-time sensor software integrating AI/ML algorithms for autonomous vehicles. You will fuse data from EO, IR, lidar, radar, and other modalities, while deploying on embedded Linux devices and collaborating across sensor, tracking, and autonomy teams. Travel for DoD testing may be required.

You should have ML deployment experience, strong C++ and Python skills, and familiarity with Kalman filtering and sensor fusion. A U.S.

Qualifications

  • MS/PhD or 5+ years experience in sensor algorithms, hardware, and HIL integration.
  • Experience with multiple sensor modalities (EO, IR, lidar, radar, sonar, acoustics).
  • Experience training and deploying ML algorithms (Python, PyTorch, TensorFlow) onto integrated systems (ONNX, C++).
  • Familiarity with tracking basics (Kalman filters) and sensor fusion.
  • Experience Linux and Docker environments.
  • Remote software development with ability to handle large datasets and learn new tech with minimal supervision.

Responsibilities

  • Develop, integrate, and adapt AI/ML algorithms on the perception autonomy stack across sensors.
  • Create interfacing software to autonomously control sensors (EO, IR, acoustics, radar, RF).
  • Collaborate across sensor, tracking, and autonomy teams for deployment in DoD testing and demonstrations.
  • Deploy containerized solutions to embedded Linux devices and collect performance data.
  • Interface with DoD customers to understand use cases and requirements.
  • Triagle technical problems and scope with the team.
  • Document ongoing work for internal flexibility and external clarity.
  • Drive simulation tooling to playback sensors, platforms, and autonomy in post-processing.
  • Implement improvements based on simulation analysis and customer feedback.

Skills

Sensor modalities
ML deployment
Linux
Docker
Kalman filters
Remote development
C++ development
PyTorch
TensorFlow

Education

MS or PhD in Electrical/Computer/Robotics or equivalent

Tools

CMake
Python
Bash

Job description

Applied Intuition seeks a Perception Autonomy Engineer to develop real-time sensor software integrating AI/ML algorithms for autonomous vehicles. You will fuse data from EO, IR, lidar, radar, and other modalities, while deploying on embedded Linux devices and collaborating across sensor, tracking, and autonomy teams. Travel for DoD testing may be required.

You should have ML deployment experience, strong C++ and Python skills, and familiarity with Kalman filtering and sensor fusion. A U.S.

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