Lawrence Livermore National Laboratory · 3 hours ago
Materials Data Engineer – Active Clearance Required
Livermore, CA
Full-time
Hybrid
Mid Level
$122K/yr - $154K/yrLawrence Livermore National Laboratory (LLNL) is dedicated to advancing science and technology to strengthen U.S. security. They are seeking a Materials Data Engineer to design data and analysis pipelines that support AI initiatives, contributing to national security strategies and the DOE’s Genesis Mission.
Information TechnologyMarket ResearchSecurity
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Design and implement data processing and analysis pipelines that are scalable and AI-ready for high-throughput laboratory experimental systems to support end-to-end and hardware-software workflows and interface with enterprise data lake platforms such as MongoDB
Develop, deploy, and maintain application‑layer and AI‑assisted control software that interfaces with industrial and laboratory hardware — including PLCs, robotic controllers, motion systems, sensors/actuators, machine vision systems, and HMI/SCADA platforms — to provide robust, low‑latency monitoring and control of experiments
Leverage AI and statistical methods to enable early detection of off‑normal or unsafe conditions, scaling from benchtop experiments to large integrated facilities and HPC platforms
Specify, integrate, and validate hardware–software safety and interlock functions in close collaboration with scientists, engineers, and technicians. Ensure that control logic, AI‑assisted decision components, data models, test plans, and configuration‑managed documentation meet LLNL, DOE, and applicable SIL/compliance, software quality assurance (SQA), and cyber‑security requirements while supporting rigorous change control and regression testing over the system life cycle
Participate in hardware design reviews and create reports
Perform other duties as assigned
Qualification
Required
This position requires an active Department of Energy (DOE) Q-level clearance or active Top-Secret clearance issued by another U.S. government agency at the time of hire
Bachelor's degree in computer engineering, Electrical Engineering, Mechatronics, or a related technical field, or equivalent combination of education and relevant experience
Experience developing software for data acquisition and processing, which includes tabular and time series data, and ingestion into databases such as MongoDB
Fundamental understanding of networking and IoT communication for remote monitoring and control, including designing secure, low latency networks that connect PLCs, robots, sensors, edge devices, and database backed services using protocols such as TCP/IP and RESTful APIs
Ability to work both independently and collaboratively in a multidisciplinary and dynamic team environment, utilizing experience and fundamental knowledge of experimental design, techniques, and execution
Sufficient organizational, verbal, and written communication skills to effectively collaborate in a team environment and present and explain technical information to a variety of audiences
Demonstrated experience designing and implementing safety-critical control systems (safety relays for laser systems, EMO circuits, door interlocks, remote interlock I/O, watchdog timers, and PLC‑based Safety Instrumented Systems) and standards-compliant architectures for high-energy or laser systems
Preferred
Advanced degree in Computer Engineering, Electrical Engineering, Mechatronics, or a related technical field
Proficiency in computational data analysis and scientific programming, including experience applying Python stacks (NumPy, Pandas, matplotlib, ML frameworks, MongoDB, and automated CSV/Parquet pipelines) and schema/ontology design and visualization dashboards
Hands-on experience developing and tuning closed-loop control systems (e.g., PID) in PLCs, embedded firmware, or software, with additional skills in C/C++, LabVIEW, MATLAB, and collaborative development tools (e.g., Git)
Benefits
Flexible Benefits Package
401(k)
Relocation Assistance
Education Reimbursement Program
Flexible schedules (•depending on project needs)
Company
Lawrence Livermore National Laboratory
Lawrence Livermore National Laboratory, a national security laboratory, provides transformational solutions to national security challenges.
Founded in 1952
5001-10000 employees
Funding
Current Stage
Late StageTotal Funding
$11.4MKey Investors
ARPA-EUS Department of EnergyDARPA
2023-11-21Grant
2023-08-14Grant
2022-09-19Grant
Leadership Team
G
Greg Herweg
Chief Technology Officer
D
David Shaughnessy
Deputy Chief Financial Officer
Recent News
2026-01-22
Research & Development World
2026-01-16
Company data provided by crunchbase