Computer Vision Software Engineer, Senior; Level III

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 space can connect us, ensuring security and prosperity.

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.

We are seeking a Senior Computer Vision Software Engineer who can proactively drive architectural evolution and deliver high‑performance perception code for edge‑deployed platforms.

• 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 Git Lab CI, Google Test, and Docker for automated builds, containerized testing, and seamless delivery.

Successful applicants generally have a minimum of 3+ years of related experience and may have a post‑secondary degree or training in a related discipline.

• Strong command of C++ (C++14/17/20) and Python;
• Test‑driven mindset – experience writing unit, integration, and performance tests; familiarity with frameworks such as Google Test
• Understanding of software design patterns and architectural principles (e.g., SOLID, factory, strategy, visitor, dependency injection)
• Understanding of core algorithms and data structures (graphs, trees, heaps, dynamic programming, greedy techniques, etc.)
• Proficiency with modern development tooling – Linux/Unix environments, build systems (CMake), debugging/profiling tools (gdb, valgrind).
• Collaborative communication skills – comfortable discussing technical trade‑offs with peers, documenting design decisions

• 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

• Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, or a related technical field (or equivalent professional experience) with 3+ years of software development experience
• Familiarity with functional programming languages like Rust
• Experience with containerization (Docker, Kubernetes)
• Experience with MATLAB
• Demonstrated…