Asks for

The ad says“Your responsibility will primarily be designing, developing, and rapidly integrating AI/ML sensor algorithms to interface across different platforms, ingest relevant mission information, and support the autonomy team’s mission objectives”
The ad says“Proficiency with modern C++ development (2011, 2017, 2020, smart pointers, etc.), CMAKE, Python and Bash”
The ad says“Experience training and deploying ML algorithms (python, pytorch, tensorflow) onto integrated systems (onnx, C++ models)”
The ad says“Proficiency with modern C++ development (2011, 2017, 2020, smart pointers, etc.), CMAKE, Python and Bash”
The ad says“Proficiency with modern C++ development (2011, 2017, 2020, smart pointers, etc.), CMAKE, Python and Bash”
The ad says“Experience working comfortably in Linux and Docker”
The ad says“Familiarity with tracking basics (e.g., Kalman filters) and optimal sensor fusion”
The ad says“Experience working comfortably in Linux and Docker”
The ad says“Experience with robotic swarm or multi-agent systems and optimization”
The ad says“Experience training and deploying ML algorithms (python, pytorch, tensorflow) onto integrated systems (onnx, C++ models)”
The ad says“Experience with robotic swarm or multi-agent systems and optimization”
The ad says“Experience training and deploying ML algorithms (python, pytorch, tensorflow) onto integrated systems (onnx, C++ models)”
The ad says“Experience training and deploying ML algorithms (python, pytorch, tensorflow) onto integrated systems (onnx, C++ models)”
The ad says“Experience with robotic swarm or multi-agent systems and optimization”
The ad says“Familiarity with tracking basics (e.g., Kalman filters) and optimal sensor fusion”
The ad says“Experience training and deploying ML algorithms (python, pytorch, tensorflow) onto integrated systems (onnx, C++ models)”

As a Perception Autonomy engineer, you will be pivotal in developing, integrating, and maintaining real-time sensor software solutions deployed across a range of heterogenous autonomous vehicles and different domains (e.g., land, air, sea, and space)
You will work with a team to continuously add capability and demonstrate the solution to customers in real-world scenarios on a variety of hardware platforms
Your responsibility will primarily be designing, developing, and rapidly integrating AI/ML sensor algorithms to interface across different platforms, ingest relevant mission information, and support the autonomy team’s mission objectives
This work includes developing autonomous sensor controllers to optimally fuse information between state-of-the-art sensor systems, such as EO, IR, acoustics, radar, and RF
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

Preferred experience

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
Familiarity with tracking basics (e.g., Kalman filters) and optimal sensor fusion
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 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 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%)
Must hold or be eligible to obtain and maintain a U.S. security clearance
Must be a U.S. Citizen
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway
Proficiency with modern C++ development (2011, 2017, 2020, smart pointers, etc.), CMAKE, Python and Bash
Strong tracking and sensor fusion background
PhD in computer science or electrical engineering with AI/ML focus
Experience with robotic swarm or multi-agent systems and optimization
Current U.S. SECRET security clearance