Materials Data Engineer – Active Clearance Required

We are seeking a Materials Data Engineer to join our this role you will work under the guidance of principle investigators to design data and analysis pipelines to support the Laboratorys AI-initiatives. This includes but not limited to sparse datasets manufacturing and high-throughput experimentation. As part of the Materials Engineering Division (MED) within the Engineering Directorate you will contribute to advancing strategies for national security and support DOEs Genesis Mission. This position provides an excellent opportunity to work at the forefront of science automation and machine learning.

This position offers a hybrid schedule blending in-person and virtual presence. You will have the flexibility to work from home one or more days per week. 

You will

• 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 applicationlayer and AIassisted 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 lowlatency monitoring and control of experiments.
• Leverage AI and statistical methods to enable early detection of offnormal or unsafe conditions scaling from benchtop experiments to large integrated facilities and HPC platforms.
• Specify integrate and validate hardwaresoftware safety and interlock functions in close collaboration with scientists engineers and technicians. Ensure that control logic AIassisted decision components data models test plans and configurationmanaged documentation meet LLNL DOE and applicable SIL/compliance software quality assurance (SQA) and cybersecurity 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.

Qualifications :

• 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.
• Bachelors 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 PLCbased Safety Instrumented Systems) and standards-compliant architectures for high-energy or laser systems.

Qualifications We Desire

• 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).

Pay Range

$121830 - $154500 Annually

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting.  An employees position within the salary range will be based on several factors including but not limited to specific competencies relevant education qualifications certifications experience skills seniority geographic location performance and business or organizational needs.

Additional Information :

#LI-Hybrid

Position Information

This is a Career Indefinite position open to Lab employees and external candidates.

Why Lawrence Livermore National Laboratory

• Included in 2026 Best Places to Work by Glassdoor!
• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
• Our values - visit  Clearance

  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 time of hire. 

  Pre-Employment Drug Test

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  Remote Work :

  No

  
  

  Employment Type :

  Full-time