Computer Vision Engineer

About the role

Awetomaton is seeking a Computer Vision Engineer to support existing customers at Wright-Patterson Air Force Base in Dayton, Ohio. In this role you will work with a small team developing and optimizing computer vision and image processing algorithms to extract actionable insights from remote sensing imagery. You will apply expertise in computer vision, image processing, and GPU acceleration using Python, C++, and NVIDIA CUDA to develop high-performance R&D capabilities.

Active Top Secret security clearance required. The ideal candidate will possess a BS degree or higher in engineering or related field with 3–7 years of experience. This position will largely be performed from WPAFB. We are currently considering candidates with an anticipated December start.

Criteria for Success:

- Communicate effectively in both written and verbal form with peers and decision makers

- Demonstrate initiative when faced with limited guidance or ambiguous requirements

- Expertise developing computer vision and image processing algorithms for remote sensing applications

- Ability to accelerate computationally intensive algorithms using NVIDIA CUDA and GPU computing

- Experience translating research algorithms into efficient, reliable, and maintainable software

Required Experience and Skills:

- Bachelor of Science in Computer Science, Computer Engineering, Electrical Engineering, Physics, Mathematics, or related discipline

- Three (3) years of minimum experience developing computer vision or image processing algorithms

- Experience working with remote sensing imagery, including electro-optical (EO), infrared (IR), or other satellite-based sensor data

- Experience implementing algorithms for object detection, segmentation, tracking, image registration, or feature extraction

- One (1) year of minimum experience developing GPU-accelerated algorithms using NVIDIA CUDA, including implementation or optimization of GPU computations

- Proficiency developing scientific and image processing software in Python using libraries such as NumPy, SciPy, or OpenCV

- Mastery of software configuration management using Git

Desired Education and Experience:

- Master of Science in Computer Science, Electrical Engineering, Applied Mathematics, or related discipline

- Experience developing and optimizing CUDA C/C++ kernels, including GPU memory management and performance profiling

- Familiarity with GPU-accelerated computing libraries such as CuPy, Numba, or PyTorch

- Experience with OPIR imagery processing, exploitation, or analysis

- Expertise in classical computer vision, signal processing, or machine learning techniques applied to remote sensing

- Experience developing modular, reusable software using strong object-oriented software development practices

- Experience with container technologies (Docker / Podman / etc.) and GitFlow or GitOps workflows