Computer Vision Engineer (Python/CUDA)

Location: Beavercreek, Ohio, United States; largely performed from Wright-Patterson Air Force Base in Dayton, Ohio

Company

hirify.global is a Dayton-based defense startup building software that helps users make informed decisions from raw intelligence data, specializing in satellite collection.

What you will do

• Develop and optimize computer vision and image processing algorithms for remote sensing imagery.
• Extract actionable insights from electro-optical, infrared, satellite-based, and other remote sensing data.
• Accelerate computationally intensive algorithms using NVIDIA CUDA and GPU computing.
• Translate research algorithms into efficient, reliable, maintainable scientific and image processing software.
• Implement algorithms for object detection, segmentation, tracking, image registration, and feature extraction.
• Work with a small R&D team to support existing customers at Wright-Patterson Air Force Base.

Requirements

• Active Top Secret security clearance is required.
• Bachelor of Science in Computer Science, Computer Engineering, Electrical Engineering, Physics, Mathematics, or a related discipline.
• At least three years of experience developing computer vision or image processing algorithms.
• Experience with remote sensing imagery, including electro-optical, infrared, or other satellite-based sensor data.
• Experience implementing object detection, segmentation, tracking, image registration, or feature extraction algorithms.
• At least one year of experience developing GPU-accelerated algorithms using NVIDIA CUDA, including implementing or optimizing GPU computations.
• Proficiency developing scientific and image processing software in Python with libraries such as NumPy, SciPy, or OpenCV.
• Mastery of software configuration management using Git.
• Effective written and verbal communication, initiative under limited guidance, and the ability to work with ambiguous requirements.
• Three to seven years of overall experience and a BS degree or higher in engineering or a related field are expected.

Nice to have

• Master of Science in Computer Science, Electrical Engineering, Applied Mathematics, or a related discipline.
• Experience developing and optimizing CUDA C/C++ kernels, including GPU memory management and performance profiling.
• Familiarity with GPU-accelerated libraries such as CuPy, Numba, or PyTorch.
• Experience processing, exploiting, or analyzing OPIR imagery.
• Expertise in classical computer vision, signal processing, or machine learning applied to remote sensing.
• Experience developing modular, reusable software with strong object-oriented practices.
• Experience with container technologies such as Docker or Podman and GitFlow or GitOps workflows.

Culture & Benefits

• Mission-focused defense startup environment where results matter and engineering work supports customer decisions.
• Flexible time off totaling 36 days per year.
• 100% 401(k) company match up to IRS annual limits, plus annual profit sharing as an additional 401(k) contribution.
• Blue Cross Blue Shield health plan with HSA; the company pays 95% of employee premiums, including family plans.
• $3,000 annual technology and wellness reimbursement.
• MacBook laptop and well-equipped office spaces.

Hiring process

• The anticipated start date is December.