Image Processing Engineer III

What It Takes

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Physics, Aerospace Engineering, or a related technical field.
  • An advanced degree (M.S. or Ph.D.) with relevant research may be considered in lieu of some professional experience.
• 5+ years of hands-on experience developing computer vision, image processing, or estimation algorithms in a production, research, or mission-critical environment.
• Strong foundation in computer vision, image processing, estimation theory, linear algebra, probability, statistics, and numerical optimization.
• Experience developing software in C++ and/or Python for algorithm development, simulation, and performance evaluation.
• Experience designing, validating, and optimizing algorithms using real-world sensor data, synthetic datasets, or simulation environments.
• Familiarity with camera systems, optical sensors, image formation, calibration, and the effects of lighting and environmental conditions on algorithm performance.
• Experience with software development best practices, including version control, testing, debugging, documentation, and collaborative development workflows.
• Ability to communicate complex technical concepts effectively and collaborate across multidisciplinary engineering teams.

Where You’ll Make an Impact

• Algorithm Development & Engineering: Advance and mature image processing and computer vision prototypes into production-ready software solutions.
• Multi-Feature & Target Tracking: Design and implement robust estimation logic to track and localize multiple visual features simultaneously within dynamic or challenging environments.
• Statistical Error & Uncertainty Analysis: Develop mathematical models to estimate data confidence, handle measurement uncertainties, and provide reliable covariance metrics for downstream navigation or data fusion filters.
• Data Filtering & Optimization: Implement robust outlier rejection, noise filtering, and subpixel refinement techniques to ensure high data precision and system stability.
• Trade Studies & Benchmarking: Establish rigorous validation frameworks, simulation scenarios, and benchmarks to objectively evaluate and compare the performance of alternative algorithms.
• Hardware-Software Integration: Analyze and simulate the impacts of sensor and optical hardware characteristics (e.g., resolution, lens distortions, lighting sensitivity) on algorithm performance to guide system-level design choices.
• Interface & API Design: Define, maintain, and implement clear software interfaces, data contracts, and schema-validated API structures for seamless integration into larger architectures.

What We Offer

• Competitive salary, equity, and comprehensive benefits including medical, dental, vision, generous leave, HSA, 401(k) matching, and equity sharing.
• Location options: Rockville, MD; Hawthorne, CA; Denver, CO.
• Base Salary: $140,000 - $185,000.
• Hightly competitive equity grants are included in the majority of full time offers; and are considered part of Quantum Space's total compensation package.

Additional Requirements

• To comply with U.S. Government space technology export regulations, including ITAR, applicants must be a U.S. citizen, lawful permanent resident, protected individual per 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.