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2 field applications engineer jobs found in Littleton

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Lockheed Martin
Jul 21, 2026
RF Engineering Associate Manager - TS/SCI clearance
Lockheed Martin Littleton, CO
Description: Position details: Location: Littleton, CO Work Schedule: 9x80 Position type: Full-time onsite (this is not a hybrid position) ________________________________________ 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, in-vest, 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 work-force to fuel the next generation. And we’re reimagining how space can connect us, ensuring security and...
Lockheed Martin
Jul 07, 2026
Associate Manager, Computer Vision & Perception
Lockheed Martin Littleton, CO
Description: 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. 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...
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