Computer Vision Engineer (Level II)

Lockheed Martin•Roxborough, CO

35d•Onsite

About The Position

About Lockheed Martin Space: Space is a critical domain, connecting our technologies, our security, and our humanity. While others view space as a destination, we see it as a realm of possibilities, where we can do more — we can innovate, invest, inspire, and integrate our capabilities to transform the future. At Lockheed Martin Space, we aim to harness the full potential of space to cultivate innovation, reduce costs, and push the boundaries of what technology can achieve. We're creating future-ready solutions, focusing on resiliency and urgency through our 21st Century Security® vision. We're erasing boundaries and forming partnerships across industries and around the world. We're advancing spacecraft and the workforce to fuel the next generation. And we're reimagining how space can connect us, ensuring security and prosperity. Join us in shaping a new era in space and find a career that's built for you. About the Team: You'll collaborate with some of the brightest minds in engineering to design and integrate pioneering capabilities that shape the future of our mission. Our high‑impact, cross‑functional team delivers cutting‑edge perception solutions for a variety of mission‑critical platforms. We specialize in classical computer‑vision algorithms—feature detection, stereo matching, optical flow—while also integrating modern AI techniques such as semantic segmentation and learned feature representations. Every solution is engineered with the strict hardware constraints of resource‑limited processors in mind, including the ultra‑low‑power, radiation‑hardened CPUs typical of space‑borne systems. About the Role: We are seeking a Computer Vision Engineer who can proactively drive architectural evolution and deliver high‑performance perception code for edge‑deployed platforms.

Requirements

Expertise in Computer Vision fundamentals, theory and applications including image processing, feature detection & recognition, geometry based vision, camera modeling
To meet requirements of the program/customer, this position requires the selected employee to be a U.S. Citizen.
Although not required to start, the selected applicant must be eligible to obtain, and maintain, Top Secret with adjudicated SCI Eligibility (i.e. TS/SCI) for long term employment on this program
Successful applicants generally have a minimum of 2+ years of related experience and may have a post‑secondary degree or training in a related discipline.

Nice To Haves

Masters or PhD in Computer Vision, Computer Science, Aerospace Engineering or related field.
Displayed expertise in light transport modeling, rendering engines, intrinsic and extrinsic camera calibrations, multi‑spectra effects, image filtering, frequency domain operations, image warping and transforms, N‑view reconstruction, direct and indirect methods, SLAM, relative pose estimation.
Demonstrated experience in leading a team of technical engineers
Experience with C++, MATLAB, Python, CUDA, and/or RUST
Possess an active TS/SCI clearance

Responsibilities

Apply solid software design principles (modularity, testability) to enhance and extend our existing C++/Python codebase
Collaborate closely with hardware engineers, optics specialists, system architects, and other stakeholders to transform algorithmic concepts into high‑performance, deployable solutions
Write production‑grade C++ code for core functionality, complemented by Python scripts for testing, simulation, and rapid prototyping.
Deeply understand the target hardware architecture and its processing constraints to fine‑tune algorithms, maximizing runtime efficiency and extracting every ounce of performance from the processor
Contribute to and leverage our Continuous Integration/Continuous Deployment pipelines using tools such as GitLab CI, Google Test, and Docker for automated builds, containerized testing, and seamless delivery.