Staff Optical Image Processing Engineer

Lockheed Martin Corporation-posted about 1 month ago
Full-time • Mid Level
Onsite • Manassas, VA
5,001-10,000 employees
Transportation Equipment Manufacturing
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At Lockheed Martin, we're at the forefront of cutting-edge technology and innovation. Our campus in Manassas, Virginia is a hub for engineering excellence, where we tackle some of the world's most challenging engineering problems. We pride ourselves on our culture of creativity, excellence, and product innovation. The Integrated Submarine Imaging System (ISIS) program in Manassas, Virginia, is seeking a skilled Optical Image Processing Engineer to support the development and integration of advanced imaging capabilities for current and next‑generation submarine platforms. This role will focus on designing, developing, testing, and containerizing image‑processing software, as well as creating new algorithms and enhancing legacy code that underpins mission‑critical underwater imaging. The position requires strong Linux/C++ expertise, GPU acceleration experience, and familiarity with optics, multispectral sensors, and modern DevOps practices.

  • Bachelor's Degree Computer Science, Computer Engineering, Electrical Engineering, Physics, or Mathematics with 5+ years of experience or Master's degree and 3 year related experience.
  • Strong Linux development skills (build, debug, shell scripting, Git)
  • Proficient in modern C++ (C++11/14/17)
  • Solid grasp of optics fundamentals (imaging, lenses, diffraction)
  • Hands‑on experience with core image processing algorithms (filtering, segmentation, feature extraction, registration) or comparable signal processing techniques
  • Proven CUDA development experience (kernel coding, memory management, performance tuning)
  • Design and implement real‑time, high‑throughput software pipelines.
  • Work with multispectral imaging sensors and perform sensor‑fusion preprocessing.
  • Apply traditional image‑processing techniques and integrate AI/ML‑based vision algorithms.
  • Develop GPU‑accelerated solutions using NVIDIA toolkits (TensorRT, NPP, CUDA, other SDKs).
  • Optimize code for low‑latency and real-time execution on embedded or workstation platforms.
  • Familiarity with performance profiling and debugging tools for both CPU and GPU.
  • Experience with new algorithm research through experimentation, peer reviews, development, integration and delivery
  • Ability to mentor others in image processing
  • An excellent working environment equipped with state-of-the-art tools.
  • The opportunity to work alongside industry leaders and top-notch professionals.
  • A chance to be a part of solving some of the world's most challenging engineering problems.
  • A culture that encourages creativity, excellence, and the development of remarkable products.
  • Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work.
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