Electrical Safety Specialist
About the job
- Working knowledge of NFPA 70E, the National Electrical Code, IEEE, the International Building Code, OSHA electrical safety regulations, and Department of Energy 10 CFR 851.
- Working knowledge of battery, capacitor, and radio frequency system electrical safety.
- Experience supporting electrical safety in research, utility, industrial, or laboratory environments.
- Ability to interpret electrical schematics, work planning documents, and regulatory standards.
- Experience implementing or supporting electrical safety programs, including assessments and audits.
- Proficiency in delivering classroom, hands-on, and online training.
- Demonstrated ability to analyze incidents and develop actionable improvements.
- Ability to convey safety issues and solutions to varied audiences orally and in writing.
- Ability to evaluate and monitor safety program implementation through work planning documents, procedures, and facility records.
- Competency using Microsoft 365 applications, including Word, Excel, PowerPoint, and Outlook, for reporting, documentation, and tracking findings.
- Ability to prepare inspection records and reports related to electrical safety performance.
- Certified Electrical Safety Compliance Professional or Certified Utility Safety Professional certification, or the ability to obtain one within six months of hire.
- Support the development, implementation, and periodic review of assigned electrical safety programs.
- Maintain and update program documentation, including procedures, training materials, and audit tools.
- Support management of the Qualified Electrical Worker program and glove exchange process.
- Use artificial intelligence to enhance internal processes and increase productivity.
- Collaborate with line organizations, facilities staff, and researchers to implement electrical safety policies effectively.
- Serve as an electrical safety subject matter expert supporting compliance with NFPA 70E, the National Electrical Code, IEEE, the National Electrical Safety Code, OSHA, and 10 CFR 851.
- Participate in and support hazard assessments for alternating-current and direct-current systems, including high-voltage and research applications.
- Interpret codes and standards to clarify requirements and support work planning and control.
- Serve as a subject matter expert in other identified occupational safety programs.
- Contribute to the development and delivery of electrical safety training, including Qualified Electrical Worker and Lockout/Tagout training.
- Assist in creating web-based and instructor-led course content.
- Communicate safety expectations and lessons learned to laboratory staff and leadership.
- Serve in one or more Authority Having Jurisdiction or Electrical Field Lead roles for electrical safety.
- Conduct or support field walkthroughs, risk assessments, and work-planning electrical safety inspections.
- Track electrical safety performance metrics.
- Participate in investigations of electrical incidents, including root-cause analysis and corrective-action planning.
- Participate in the Electrical Safety Committee and cross-functional Environmental, Safety, and Health initiatives.
- Interface with operational, user-facility, and research stakeholders to integrate electrical safety into day-to-day operations.
- Steward laboratory resources for optimal organizational use.
- Model Argonne Laboratory core values, including Impact, Safety, Respect, Integrity, and Teamwork.
- Experience delivering or supporting Qualified Electrical Worker or Lockout/Tagout training programs.
- Experience with electrical safety audits or regulatory assessments.
- Licensed electrician certification or license.
- Certified Electrical Inspector certification.
- Certified Safety Professional or Associate Safety Professional certification.
About the company
Argonne National Laboratory advances scientific discovery and sustainability by providing access to large-scale research facilities and high-performance computing for government, academia, and industry partners. Researchers use the Advanced Photon Source for atomic-level materials studies and the Argonne Leadership Computing Facility for complex simulations and data analysis. The lab differentiates itself through its shared-use, multi-institution partnerships and a focus on eco-innovation, net-zero goals, and AI accelerator development. Its aim is to address real-world energy, materials, and data science challenges by combining cutting-edge infrastructure with collaborative research efforts.
Company Size
5,001-10,000
Company Stage
Grant
Total Funding
$19.7M
Headquarters
Lemont, Illinois
Founded
1946
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Simplify's Take
What believers are saying
- UChicago Argonne LLC won a renewed DOE contract in 2026 for five years.
- 2026 launch of ChemGraph, GridMind, and AI inference services deepens Argonne's relevance.
- Activated Materials Lab opened in 2026, expanding nuclear fuels research and user-facility demand.
What critics are saying
- DOE's FY2027 request cuts Argonne funding about $155.8 million, hitting programs and construction.
- 2025 buyouts showed staff pressure; more layoffs follow if Congress accepts budget cuts.
- A prolonged federal reset or shutdown threatens APS, Aurora utilization, and Argonne's operating model.
What makes Argonne National Laboratory unique
- Aurora and APS create a rare AI-plus-X-ray discovery stack for 2026 science.
- Chain Reaction Innovations embeds startups inside Argonne with facilities, mentors, and DOE funding.
- Q-NEXT and other DOE centers keep Argonne central to U.S. quantum research.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Paid Vacation
Paid Sick Leave
Paid Holidays
Remote Work Options
Flexible Work Hours
401(k) Retirement Plan
401(k) Company Match
Professional Development Budget
Wellness Program
Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↑ 0%2 year growth
↑ 0%Researchers at the US Department of Energy's Argonne National Laboratory have developed ChemGraph, an open-source framework that uses artificial intelligence to automate computational chemistry workflows. The tool provides a natural language interface, allowing researchers to describe scientific problems in plain language, which the system then maps onto computational tasks and analyses. ChemGraph was developed using resources at the Argonne Leadership Computing Facility, including the Aurora exascale supercomputer. The framework uses AI agents to handle different workflow tasks, from planning to execution and data aggregation. It calls appropriate scientific tools to reduce the risk of AI hallucination, using AI to run physics-based simulations rather than relying solely on existing knowledge. The framework supports applications in combustion efficiency, critical materials, and next-generation batteries, and complements DOE's Genesis Mission to accelerate science through AI.
The US Department of Energy's Argonne National Laboratory has launched an AI inference service using spare supercomputing capacity to support researchers across DoE labs and the Genesis Mission. The service runs on two clusters: Sophia, with 192 Nvidia A100 GPUs, and Metis, featuring 32 SambaNova SN40L AI accelerators. The platform provides secure access to various large language models, including OpenAI's GPT-OSS, Google's Gemma, and Meta's Llama, through a chatbot-like portal. Researchers are using the service to analyse experimental data in real time, including predicting plasma disruptions in fusion energy research and processing data from particle accelerators and telescopes. Argonne plans to extend the service to its Nvidia GH200-based Tara and B200-based Minerva systems, enabling scientists to experiment with AI without building their own infrastructure.
Researchers at the US Department of Energy's Argonne National Laboratory have developed GridMind, an agentic AI system designed to assist power grid operators through natural language interaction. The system functions as a reasoning co-pilot for control rooms, simplifying complex grid management tasks. GridMind employs a multi-agent architecture where specialised AI agents handle different functions, such as power scheduling and weather-based contingency planning. Large language models coordinate these agents to analyse situations, reason across different tasks and provide explainable recommendations. The system transforms technical analysis into conversational support whilst maintaining rigorous accuracy. Tests on standard power grid models demonstrated that GridMind consistently produced correct results across multiple state-of-the-art language models. The technology aims to accelerate decision-making by integrating disconnected workflows into a coherent reasoning engine.
A research team led by the US Department of Energy's Argonne National Laboratory has developed an AI adviser that optimises machine learning algorithms during autonomous experiments, accelerating discovery of advanced electronic materials. The system was applied to Polybot, Argonne's AI-guided robotic laboratory, to investigate mixed ion-electron conducting polymers for wearable electronics and energy storage. The adviser evaluates algorithm performance in real time and communicates insights to scientists who refine experimental plans. It reduced the study to just 64 experiments from over 4,300 possible combinations. During testing, the adviser suggested switching AI algorithms, leading to significant performance improvements, and identified deposition speed as a key performance driver. The research was published in Nature Chemical Engineering and included collaborators from the University of Chicago, Lawrence Berkeley National Laboratory and other institutions.
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