EO/IR Image Processing Engineer — Secret Clearance

Awetomaton

Boulder (CO)

On-site

USD 90,000 - 155,000

Full time

11 days ago

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Benefits offered by this job

36 days PTO
401k company match
Health plan with HSA
Tech & Wellness reimbursement
Profit sharing
MacBook provided

Job summary

Awetomaton in Boulder, CO is seeking a Research Engineer to join the TAP Lab at the Boulder Ground Information Facility. You will adapt, train, evaluate, and transition a prototype application that detects and separates closely spaced objects in EO/IR imagery, and you will work with a small team to prepare sensor data and assess algorithm performance.

The role requires a BS in a relevant field with 3–7 years of experience, Python development, NumPy, scikit-image, and PyTorch.

Qualifications

  • BS in CS/engineering/physics/math or related field.
  • 3+ years in image processing, computer vision, ML or imagery science.
  • At least 1 year of professional Python development.
  • Experience with EO/IR imagery or similar sensor data.
  • Experience with NumPy and at least one ML framework.
  • Dataset preparation and algorithm evaluation experience.
  • Git proficiency.
  • Active SECRET clearance.
  • On-site work in Boulder, CO.

Responsibilities

  • Adapt, train, evaluate, and transition a prototype application for EO/IR imagery.
  • Acquire and prepare representative sensor data and evaluate performance.
  • Develop software in Python following best practices.
  • Collaborate with a small multidisciplinary team.
  • Communicate results to engineers and decision-makers.

Skills

Image processing
Computer vision
Machine learning
Imagery science
Python development
EO/IR imagery
NumPy
scikit-image
PyTorch

Education

Bachelor of Science in computer science, electrical or computer engineering, physics, mathematics, or a related engineering discipline

Tools

NumPy
scikit-image
PyTorch
Git

Job description

Awetomaton in Boulder, CO is seeking a Research Engineer to join the TAP Lab at the Boulder Ground Information Facility. You will adapt, train, evaluate, and transition a prototype application that detects and separates closely spaced objects in EO/IR imagery, and you will work with a small team to prepare sensor data and assess algorithm performance.

The role requires a BS in a relevant field with 3–7 years of experience, Python development, NumPy, scikit-image, and PyTorch.

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