About Sandia:

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://www.sandia.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, technical oversight/approvals, project team concurrence, artifact generation, etc.). ¿
• Experience in computer systems design and software development for real-time and embedded processing systems, distributed processing systems, or real-time client server implementations. ¿
• Familiarity with hardware/software requirements generation for verification, validation and qualification. ¿
• Demonstrated interpersonal skills and ability to work in a multidisciplinary, multi-disciplinary team setting for a common purpose.

Also, for this posting we are seeking individuals with the following experience:

• Masters degree in Computer Engineering, Data Science, or a related field.
• Proficiency in programming languages such as Python, Java, or similar.
• Knowledge of AI and machine learning concepts, with experience in developing AI agent interfaces or applications.
• Experience with data ingestion and processing, including the ability to write scripts for various data formats.
• Understanding of database management and experience interfacing with systems like PDMLink.
• Strong problem-solving skills and the ability to work collaboratively in a team environment.
• Experience with Granta or similar materials management systems, including generating and parsing specification documents.
• Knowledge of API development and integration, particularly in the context of lakehouse architectures and Model Context Protocol (MCP).
• Ability to rapidly learn new skills and work in a fast-paced environment
• Ability to work on multiple projects simultaneously and manage time effectively.
• Experience working with materials scientists and collecting materials property data

About Our Team:

Sandia's Materials Lifecycle Management Department is a diverse team of engineers and scientists dedicated to teaming with both research and mission delivery organizations to address materials-based risks (i.e., quality, availability, compatibility and aging) and enable new material discovery. Our team provides a critical interface with the NNSA and engineering stakeholders through its leadership of the Aging & Lifetimes and At-Risk Materials programs enabling informed engineering design decisions. We develop scalable, FAIR data management solutions to empower AI/ML research, assess material compatibility, manage the Granta data based, its material records, and new material data ingestion, and utilize and develop GenAI models for finding novel, application specific materials. This department has a strong record of delivering critical materials information to broad internal and external stakeholders that improves SNLs and the broader Nuclear Security Enterprises (NSE) mission delivery.

Posting Duration:

This posting will be open for application submissions for a minimum of seven (7) calendar days, including the ‘posting date’. Sandia reserves the right to extend the posting date at any time.

Security Clearance:

Position requires a Department of Energy (DOE) Q security clearance to start, or equivalent active security clearance with another U.S. government agency (e.g., DOD). Sandia is required by DOE directive to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.

Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.

EEO:

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.

NNSA Requirements for MedPEDs:

If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.

If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.

Job ID: 696628

Job Family: RD

Regular/Temporary Position: R

Full/Part-Time Status: F