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.
150k – 220k/yr
On-site5+ YOEML Engineering
About the role
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.
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 DoD clearance eligibility.
150k – 220k/yr
On-site5+ YOEML Engineering
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