# Perception & Fusion Engineer

**Company:** [Applied Intuition](https://hotfix.jobs/companies/applied-intuition)
**Location:** Poway, CA
**Role:** ML Engineering
**Salary:** $150k – $220k/yr
**Experience:** 5+ years
**Skills:** Sensor Fusion, Perception, AI/ML, PyTorch, TensorFlow, Onnx, C++, Linux, Docker, Estimation Algorithms, Tracking Algorithms, Sensor Physics, Embedded Systems, Computer Vision
**Posted:** 2026-07-01

> Develop and integrate real-time sensor perception and fusion algorithms for autonomous vehicles across land, air, sea, and space domains. Requires MS/PhD or 5+ years experience with multi-modal sensors (EO/IR/radar), ML deployment, and Linux/Docker; US citizenship and security clearance eligibility mandatory.

## Job Description

## 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.

## Requirements
- 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).
- Experience with state of the art estimation, tracking, and fusion algorithms.
- 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.
- Must be a U.S. Citizen.
- Must hold or be eligible to obtain and maintain a U.S. security clearance.
- Must be willing to travel as projects requires, usually for SW/HW integration and/or demonstrations; estimated average travel is every 1-2 months for 2-5 days (10-20%).

## Nice-to-Haves
- 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.

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