About The Position
We are seeking an AI/ML Engineer with a strong background in computer vision and robotics to build, optimize, and deploy production-grade machine learning systems directly onto edge hardware. The role sits at the intersection of deep learning and robotics, ensuring real-time detection models operate with ultra-low latency during high-speed field operations. The engineer will develop computer vision models, optimize inference, integrate perception and navigation capabilities into robotic and unmanned systems, and manage containerized deployments across distributed edge hardware. The role also focuses on automated data insights and high-performance edge computing to improve accuracy and operational efficiency in complex field environments.
Requirements
- 3–5 years of industry experience.
- Technical depth in machine learning and AI, preferably in computer vision and robotics.
- Hands-on ability to design, build, and ship systems.
- Fluency in Python and modern machine learning frameworks such as PyTorch.
- Experience or familiarity with CI/CD, automated testing, and documentation.
- US citizenship due to the nature of the projects.
Nice To Haves
- Experience with modalities such as EO/IR, acoustic/SONAR, RF, or SAR.
- Familiarity with agentic AI frameworks.
- Familiarity with data science front-end/UI workflows for demonstrations, such as Streamlit, Dash, or Gradio.
- Candidates based in New Jersey or Washington, DC are preferred.
Responsibilities
- Design, train, and deploy deep learning computer vision models using PyTorch, focused on real-time object detection and spatial awareness.
- Optimize model inference speed and low-latency performance on edge hardware using CUDA and TensorRT.
- Integrate computer vision models for perception and navigation into robots, drones, unmanned systems, and swarms.
- Manage, scale, and maintain containerized edge deployments across distributed hardware using Docker and Kubernetes.
- Drive automated data insights and high-performance edge computing initiatives to improve accuracy and operational efficiency in complex, high-speed field environments.
- Build and ship robust production-ready systems and features, moving innovative ideas from research or prototypes into products.
Benefits
- Health benefits
- Vision benefits
- Dental benefits
- 401(k) plan
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
