Software Engineer; Target Tracking; ATL/Hybrid/Cherry Hill NJ
Job in
Cherry Hill, Camden County, New Jersey, 08002, USA
Listed on 2026-10-30
Listing for:
Lockheed Martin
Full Time, Part Time, Seasonal/Temporary
position Listed on 2026-10-30
Job specializations:
-
Software Development
Software Engineer, Python, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Requisition Eligible?:
Yes Relocation:
Possible Type:
Represented
Shift: 1
Clearance Prior to Start:
None Final Clearance:
Secret Pay Transparency: $75,000.00 - $Experience Level: Experienced Professional FT/PT/Casual:
Full Time Department :
Advanced Technology Labs Business Unit:
Advanced Technology Labs Standard
Job Description Software Engineer (Target Tracking) - ATL / Hybrid / Cherry Hill NJLockheed Martin's Advanced Technology Laboratories (ATL) is an applied R&D center driving breakthroughs in autonomy, robotics, AI, command & control, human‑machine symbiosis, spectrum operations, hypersonics, and cyber.
ATL's Spectrum Systems Laboratory (SSL) is seeking a junior Software Engineer with a foundation in multi-target tracking, estimation theory, sensor/data fusion, signal processing, or software development.
What You Will Be Doing:
In this role, you will contribute to the design, implementation, testing, and evaluation of algorithms and software for detecting, associating, and tracking multiple targets in complex environments across advanced sensing and electronic-warfare (EW) systems. You will also have the flexibility to explore research topics of interest and learn from peers across the lab. 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 responsibilities will include the following:
Developing, testing, and evaluating Python-based algorithms and software for multi-target tracking, localization, state estimation, and sensor/data fusion.
Applying filtering, inference, data-association, and signal-processing techniques to recorded and simulated sensor data.
Building simulation environments, data-processing pipelines, analysis tools, and performance-evaluation workflows for complex sensing applications.
Integrating prototype algorithms into scalable, maintainable software and larger sensor-system architectures, including CI/CD and Dev Sec Ops practices.
Analyzing, debugging, and optimizing tracking software and data-engineering workflows for large-scale sensor-processing and machine-learning data sets.
Collaborating with researchers, engineers, and domain experts to advance technical solutions, conduct peer reviews, and document designs and results.
Supporting research, customer-focused technical solutions, technical briefings, and proof-of-concept demonstrations for emerging tracking challenges.
Further Information About This Opportunity:
This role is heavily onsite at our Cherry Hill NJ location. US Citizenship with eligibility for a US government security clearance is required.
Basic Qualifications Bachelor’s degree from an accredited university in Computer Science, Computer Engineering, Electrical Engineering, Physics, Mathematics, or a closely related field.
Demonstrated ability developing and testing Python software for scientific, technical, or algorithmic applications
Strong foundation in probability and statistics, linear algebra, and estimation methods, with familiarity or practical experience in signal processing, state estimation, target tracking, or Kalman filtering
Ability to analyze data, develop and evaluate algorithms, and communicate technical results clearly
Strong collaboration and communication skills and proven ability to work effectively in multi‑disciplinary teamsUS Citizenship with eligibility for a US government security clearance is required.
Desired Skills Advanced degree in Computer Science, Computer Engineering, Electrical Engineering, Physics, Mathematics, or a closely related field.
Active Secret Clearance or higher.
Algorithms / Analysis
Experience with localization and inference methods from sensor data such as…
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