Job description

Standard Job Description About Lockheed Martin Space: Space is a critical domain, connecting our technologies, our security, and our humanity. 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 motivated engineer to develop and support the end to end digital simulation platform. The ideal candidate will: • Operate and update the simulation • Conduct statistical analysis & uncertainty quantification via Monte‑Carlo simulations, Design‑of‑Experiments (DoE), sensitivity testing, and algorithm‑level error modeling • Develop interactive dashboards, generate plots/reports for stakeholders, and tailor visual output for different audiences • Define test cases, compare simulation results against analytical/ground‑truth data, document V&V evidence, and support formal review packages • Debug computer‑vision algorithm performance in the simulation by debugging the underlying code and using visualizations to diagnose issues • Collaborate with embedded‑hardware, optics, and systems teams to ensure the simulation reflects actual hardware behavior and integrates smoothly with downstream toolchains Generally has 1+ years of related experience and may have a post-secondary degree or training in a related discipline. The information below reflects the standard job description for this position: Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces Basic Qualifications Skill Requirements: • Proficiency in Python (including libraries such as NumPy, SciPy, Pandas, and Bokeh) • Understanding of Statistical Methods (Monte‑Carlo, basic uncertainty quantification) • Ability to generate clear visualizations and communicate results to both technical and non‑technical audiences • Experience with Linux development environments and shell scripting • Proficiency in C++, including the ability to read, maintain, and/or extend C++ codebase Security Clearance / Work Authorization: • To meet requirements of the program/customer, this position requires the selected employee to be a U.S. Citizen. • Active Top Secret security clearance is necessary for consideration and is required prior to start. Desired Skills • Bachelor’s degree in Computer Science, Aerospace Engineering, Mathematics, or a related technical field (or equivalent professional experience) with 1+ year(s) of relevant experience • Experience with MATLAB • Foundational knowledge of core algorithms used in computer‑vision and signal‑processing (e.g., feature extraction, optical flow, SLAM, matrix factorization, optimization, linear‑algebra routines) • Docker - experience containerizing applications for reproducible builds and testing • CI/CD pipelines - familiarity with GitLab CI or similar tools for automated testing and deployment • Requirements verification • Proficient in AI prompting as it applies to this position and practice #RPLMCO Pay Information Full-Time Salary Range: $91200.00 - $169400.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. • Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. • For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Requirements

Must-haves

Standard Job Description
We are seeking a motivated engineer to develop and support the end to end digital simulation platform. The ideal candidate will:
Operate and update the simulation
Conduct statistical analysis & uncertainty quantification via Monte‑Carlo simulations, Design‑of‑Experiments (DoE), sensitivity testing, and algorithm‑level error modeling
Develop interactive dashboards, generate plots/reports for stakeholders, and tailor visual output for different audiences
Define test cases, compare simulation results against analytical/ground‑truth data, document V&V evidence, and support formal review packages
Debug computer‑vision algorithm performance in the simulation by debugging the underlying code and using visualizations to diagnose issues
Collaborate with embedded‑hardware, optics, and systems teams to ensure the simulation reflects actual hardware behavior and integrates smoothly with downstream toolchains
Generally has 1+ years of related experience and may have a post-secondary degree or training in a related discipline.
The information below reflects the standard job description for this position:
Proficiency in Python (including libraries such as NumPy, SciPy, Pandas, and Bokeh)
Understanding of Statistical Methods (Monte‑Carlo, basic uncertainty quantification)
Ability to generate clear visualizations and communicate results to both technical and non‑technical audiences
Experience with Linux development environments and shell scripting
Proficiency in C++, including the ability to read, maintain, and/or extend C++ codebase
To meet requirements of the program/customer, this position requires the selected employee to be a U.S. Citizen.
Active Top Secret security clearance is necessary for consideration and is required prior to start.
Bachelor’s degree in Computer Science, Aerospace Engineering, Mathematics, or a related technical field (or equivalent professional experience) with 1+ year(s) of relevant experience

Nice-to-haves

Experience with MATLAB
Foundational knowledge of core algorithms used in computer‑vision and signal‑processing (e.g., feature extraction, optical flow, SLAM, matrix factorization, optimization, linear‑algebra routines)
Docker - experience containerizing applications for reproducible builds and testing
CI/CD pipelines - familiarity with GitLab CI or similar tools for automated testing and deployment
Requirements verification
Proficient in AI prompting as it applies to this position and practice

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythondockerci/cd

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave