- Robot type
- Autonomous Vehicle · Robot AI and Software
- Location
- ArlingtonVirginiaUSA
- Job type
- Artificial Intelligence
- Posted
- Sep 17, 2026
- Salary
- $160,000–$220,000 a year
Perception Engineer - Defense (All-Domain)
Job description
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.;
Job responsibilities
- Develop perception models that find and classify targets with an error rate of
- Deploy perception models to Jetson Orin+ boards and optimize models for better-than-realtime performance.
- Build large foundation models for high-accuracy assisted data labeling.
- Build tooling across the entire perception stack: labeling tools, simulation.
- Work with the best and most competitive AI talent in the world through collaboration with Applied Intuition self-driving staff.
- Scale up datasets using a variety of state-of-the-art data generation techniques including simulation, diffusion, and generative AI.
- Create and maintain highly optimized models and inference software providing model results at maximum attainable frames per second (FPS) on Jetson-like hardware.
- Collaborate across the hardware, sensor, tracking, autonomy, and testing teams to ensure seamless deployment in on-site DoD testing and demonstration events.
Job requirements
- MS or PhD in Computer Engineering, Robotic Engineering, Computer Science, or equivalent OR 5+ years of relevant experience working with simulation, machine learning, and ML infrastructure.
- Proficiency in training ML models in PyTorch on multi-machine, multi-GPU systems.
- Experience in optimizing and deploying machine learning models to edge devices.
- Strong experience with agentic coding with proven experience in Python and/or cpp.
- Experience leveraging modern AI-powered development tools (e.g., GitHub Copilot, Cursor) to accelerate the creation of robust, well-tested systems.
- Adeptness with remote software development, the ability to handle and process large datasets, and a capacity to learn new software and algorithms as needed with little supervision .
- Must be willing to travel as projects require, usually for SW/HW integration and/or demonstrations; estimated average travel is 2-5 days every other month (10-20%)
- Interested candidates should also inquire about relocation assistance to Applied Intuition Defense facilities near Destin, FL, Washington, D.C., or San Diego, CA
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