Computer Vision Engineer
About The Position
Applied Intuition Defense is hiring a hands-on, full-stack Computer Vision Engineer to improve perception model performance across maritime, land, air-to-surface, and surface-to-surface applications using electro-optical (EO) and infrared (IR) data. The role involves developing custom detection and classification architectures, working with large-scale MLOps and labeling systems, and applying frontier AI methods to build and deploy perception capabilities. The team builds its own modeling, labeling, and infrastructure tools and iterates across millions of images and videos. The engineer will develop and optimize perception models, deploy them to edge hardware such as Jetson Orin+ boards, build foundation models for assisted data labeling, and create tools across the perception stack. The role also includes scaling datasets with simulation and generative techniques, collaborating with hardware and autonomy teams, and supporting on-site Department of Defense testing and demonstrations. Full-time employees are expected to work primarily from an Applied Intuition office five days per week, with occasional flexibility for remote work. Travel is typically 2–5 days every other month, estimated at 10–20%. Candidates may inquire about relocation assistance to Applied Intuition Defense facilities near Destin, Florida; Washington, D.C.; or San Diego, California. Applicants must be U.S. citizens and hold or be eligible to obtain and maintain a U.S. security clearance.
Requirements
- Master’s or Ph.D. in Computer Engineering, Robotic Engineering, Computer Science, or equivalent, or at least 5 years of relevant experience working with simulation, machine learning, and ML infrastructure.
- At least 5 years of industry experience supporting computer vision capabilities.
- Proficiency training machine-learning models in PyTorch on multi-machine, multi-GPU systems.
- Experience optimizing and deploying machine-learning models to edge devices.
- Strong experience with agentic coding and proven experience in Python and/or C++.
- Experience using modern AI-powered development tools, such as GitHub Copilot or Cursor, to accelerate the creation of robust, well-tested systems.
- Ability to work with remote software development, 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.
- Willingness to travel as projects require, typically 2–5 days every other month (estimated 10–20%).
Nice To Haves
- Ph.D. in Computer Vision, Machine Learning, or a related field, with strong academic contributions.
- Background generating datasets using simulation engines such as Unreal Engine, NVIDIA Omniverse, or Blender, or using 3D asset creation tools.
- Experience deeply optimizing Transformer-based models for edge devices such as NVIDIA Jetson boards.
- Familiarity with Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL), including integration and testing on common commercial off-the-shelf hardware such as NVIDIA Jetson and Raspberry Pi 5.
- Extensive modeling experience with transformers, vision-language models, diffusion models, and video-model training pipelines.
- Experience deploying production machine-learning models in real-world settings or heavily optimizing them.
Responsibilities
- Develop perception models that find and classify targets with an error rate below 1/100.
- Deploy perception models to Jetson Orin+ boards and optimize them for better-than-real-time performance.
- Build large foundation models for high-accuracy assisted data labeling.
- Build tooling across the perception stack, including labeling tools and simulation tools.
- Scale datasets using state-of-the-art data generation techniques, including simulation, diffusion, and generative AI.
- Create and maintain highly optimized models and inference software to maximize frames per second on Jetson-like hardware.
- Collaborate with hardware, sensor, tracking, autonomy, and testing teams to support deployment at on-site DoD tests and demonstrations.
Benefits
- Comprehensive health insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- 401(k) retirement benefits with employer match
- Learning stipends
- Wellness stipends
- Paid time off
- Equity in the form of options and/or restricted stock units may be included in eligible roles’ compensation
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What This Job Offers
Job Type
Full-time
Career Level
Senior
