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Senior CPU Performance Architect
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Lockheed Martin

Software Engineer - Advanced Technology Lab / Eagan MN

Eagan, MN, United States
Eagan, United States

Pay Information Full-Time Salary Range: $81100.00 - $150500.00 At Lockheed Martin, we know mission success starts with taking care of our people.

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Job details

Pay: Pay Information Full-Time Salary Range: $81100.00 - $150500.00 At Lockheed Martin, we know mission success starts with taking care of our people.
Apply by: May 2, 2027
Posting language: English
Posted: Nov 3, 2026

Original job description

Standard Job Description

Software Engineer - Advanced Technology Lab / Eagan MN

The Advanced Technology Laboratories (ATL) is Lockheed Martin's applied research and development center. Aligned with the Corporation’s Chief Technology Office, we work to advance scientific discovery and technology transition in human systems, robotics and autonomy, spectrum systems, data analytics and more!

Spectrum Systems Lab (SSL) within ATL is hiring an energetic, enthusiastic, and Software Engineer with a foundation in software development.

What You Will Be Doing:

In this role you will contribute to the design, development, and testing of software, algorithms, and hardware for unmanned aircraft systems (UAS). Your daily work will adapt to the evolving needs of our programs, allowing you to grow your skill set and directly impact cutting‑edge projects that support both commercial and military platforms. Key taskings will including the following:

Design, code, and verify software for state‑of‑the‑art unmanned aircraft systems.
Architect and implement scalable data‑engineering pipelines for automated analysis of machine‑learning, sensor‑processing, and target‑tracking research prototypes over large data sets.
Apply research engineering fundamentals to analyze, debug, and integrate bleeding-edge autonomy, swarming, and AI/ML capabilities on representative hardware platforms.
Lead or support research projects that innovate novel solutions for emerging autonomy challenges.
Participate in large‑scale field tests on ground, sea, and air assets, assisting with system deployment, data collection, and post‑test analysis.
Contribute to business development by crafting modern, customer‑focused technical solutions and preparing technical briefings or proof‑of‑concept demonstrations

Further Information About This Opportunity:

This role is fully onsite in Eagan MN, with up to 25% travel to support needs. US Citizenship with eligibility for Secret clearance is required to start.

Basic Qualifications

Bachelor’s degree (M.S. preferred) from an accredited university in Computer Science, Computer Engineering, Electrical Engineering, Physics, or a closely related field.
Strong Python skills and proficiency in at least one additional language (Rust or similar compiled language preferred).
Experience with development on Linux platforms
Experience with containerization (Docker, Podman, Kubernetes, or equivalent).
Experience with software transfer from simulation environments to real hardware
Experience with Modern version‑control systems (Git, GitHub, GitLab).
Experience in Agile development environments (Scrum, Kanban).
Excellent collaboration and communication abilities; proven success working in multidisciplinary teams.
US Citizenship with ability to obtain a Secret‑level clearance

Desired Skills

Active Secret clearance
Experience with autonomy and / or robotics (ground, air, marine, etc.) either real or simulated
Experience with common data paradigms in distributed systems (pub-sub, request-reply, database design and I/O, etc.)
Experience with sensor (cameras, radar, etc.) interfacing or optimization from a software or firmware perspective
Experience with modern software development cadences (Agile, spiral, sprints, etc.) and infrastructure
Knowledge of modern wireless communication techniques and protocols (e.g. mesh radios)
Experience with development on rpm-based Linux platforms
Experience working research projects on state‑of‑the‑art technologies (e.g., AI‑enhanced UxV autonomy, ATR, swarming, etc.)
Understanding of UAS operations (ArduPilot vs. PX4, GCS paradigms), preferred, not required
Exposure to low-SWAP compute and writing / deploying software on constrained platforms

Pay Information Full-Time Salary Range: $81100.00 - $150500.00 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.

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More about this job

Skills

Research
Robotics
Data analysis
Software development
Unmanned air systems
Data engineering
Machine learning
ML
Hardware platforms
Sales
Computer science
Computer engineering
Electrical engineering
Python
Rust
Linux
Docker
Kubernetes
Control systems
Git
GitHub
GitLab
Agile development
Scrum
Kanban
Collaboration
Communication skills
Firmware
Agile

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