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Cleared Early Career, Computer Engineering, Data Science - Onsite

Remote / Online - Candidates ideally in
New Mexico, USA
Listing for: Sandia National Laboratories
Part Time, Remote/Work from Home position
Listed on 2026-02-03
Job specializations:
  • Engineering
    AI Engineer, Software Engineer, Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 102400 - 199700 USD Yearly USD 102400.00 199700.00 YEAR
Job Description & How to Apply Below

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Cleared Early Career, Computer Engineering, Data Science - Onsite

Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:

Challenging work with amazing impact that contributes to security, peace, and freedom worldwide

Extraordinary co-workers

Some of the best tools, equipment, and research facilities in the world

Career advancement and enrichment opportunities

Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)

Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://(Use the "Apply for this Job" box below)..gov

* These benefits vary by job classification.

What Your Job Will Be Like:

We are seeking a dedicated and innovative Computer Engineer to join our team of researchers focused on advancing data-driven solutions in materials science and engineering. Applicants should possess a strong background in data ingestion, processing, and analysis, with experience in developing automation tools and AI applications. Familiarity with metadata extraction, specification generation, and interfacing with materials management systems such as PDMLink is highly desirable.

Experience in working with large language models (LLMs), API development, and on-machine inspection tools will be considered a plus but is not required. This position will operate within a collaborative environment that includes cross-functional teams and will necessitate both independent problem-solving skills and effective teamwork and mentorship.

On any given day, you may be called on to:

Write and optimize parsing scripts for various test data formats to ensure efficient data ingestion.

Parse and extract relevant information from engineering specifications for integration into Granta.

Develop and maintain scripts for automating metadata retrieval from engineering artifacts.

Interface with PDMLink to retrieve and analyze data from global materials lists.

Participate in the development and integration of AI agent interfaces with on-machine inspection tools (e.g., Peregrine).

Assist in the development of APIs for the lakehouse project, ensuring compatibility with existing systems and tools.

Engage in team meetings to discuss project progress, challenges, and collaborative solutions.

Document processes, findings, and code to maintain clear communication and knowledge sharing within the team.

Collaborate with team members to enhance capabilities for pulling "where-used" information across various sites.

Due to the nature of the role, this candidate must be able to work onsite.

Salary Range:

$102,400 - $199,700

* Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential.

Qualifications We Require:

A Bachelor's degree in a relevant discipline, or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development.

Active DOE Q-level security clearance

Qualifications We Desire:

The ideal Computer Engineer candidate for Sandia National Laboratories will in addition possess the following:

Graduate degree in Computer Engineering or a highly related field where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation). ¿

Demonstrated ability to execute and deliver technical work products with application of appropriate rigor and pedigree documentation (design/code reviews,…

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