Full-Time

Procurement Services Program Internship

Argonne National Laboratory

Argonne National Laboratory

5,001-10,000 employees

Advanced scientific research and computing facilities

Compensation Overview

$18.08 - $39.17/hr

No H1B Sponsorship

Remote in USA + 1 more

More locations: Woodridge, IL, USA

Remote

Remote work within the United States; on-site presence not required.

US Citizenship Required

Category
Operations & Logistics (1)
Required Skills
Workday HRIS
Word/Pages/Docs
Excel/Numbers/Sheets

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Requirements
  • Must be a U.S. citizen.
  • Must be currently enrolled full-time at an accredited institution and have completed at least one semester of schooling by the start of the program.
  • Must be 18 years or older at the time the appointment begins.
  • If accepting an offer, must pass a screening drug test.
  • Majors: Supply Chain Management, Logistics, Operations, Business Management, Finance, Communications, or Business Law with interest in supply-chain management or contract administration.
  • Completed two years of undergraduate academics in a business program and maintain a cumulative GPA of 3.0 on 4.0 scale.
  • A desire to participate in a dynamic work environment with competing deadlines.
  • Ability to be a highly motivated and self-starting and seeking a future career in a business profession.
  • Desire to learn about business disciplines of accounting, business administration, economics, finance, management information systems, etc.
  • Ability to negotiate between large scale project goals and individual work assignments
  • Ability to assist in difficult situations and keep composure and confidence.
  • Experience with Microsoft Office Products (Word, Outlook, Excel)
  • Great aptitude for math and processing logic.
  • Excellent written and oral communication skills.
Responsibilities
  • Use proprietary contract administration software to create and manage purchase orders for the entire laboratory.
  • Support laboratory staff with expediting procurement actions.
  • Contact suppliers to confirm pricing, following up on past due orders, closing of contracts and other outstanding issues.
  • Effectively communicate with laboratory staff and suppliers
  • Support procurement staff in resolving vendor transaction exceptions in Workday.
  • Work within a team that fosters transparency and collaboration.
Argonne National Laboratory

Argonne National Laboratory

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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 Jobs

Simplify's Take

What believers are saying

  • Nvidia and Oracle’s October 2025 partnership brings Solstice and Equinox to Argonne.
  • Minerva arrives in 2026 with 64 Blackwell GPUs, expanding inference capacity.
  • ChemGraph and GridMind in 2026 automate chemistry and grid operations across missions.

What critics are saying

  • DOE’s FY2027 request cuts Argonne funding by $155.8 million, pressuring 2027 programs.
  • Argonne’s $6 billion Genesis center depends on private capital by August 21, 2026.
  • Without Genesis financing, Oak Ridge and commercial clouds can outrun Argonne’s AI leadership.

What makes Argonne National Laboratory unique

  • Aurora, APS, and ALCF combine exascale computing with world-leading synchrotron science.
  • Argonne’s May 2026 inference service gives DOE scientists secure on-prem AI model access.
  • APS Upgrade completed February 2026, reinforcing Argonne’s integrated discovery infrastructure.

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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

Headcount

6 month growth

-2%

1 year growth

-2%

2 year growth

-2%
Associated Press
Jul 7th, 2026
Argonne's ChemGraph uses AI to automate computational chemistry workflows

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 Register
May 27th, 2026
Argonne National Laboratory launches private AI inference service using spare supercomputer capacity

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.

Business Wire
Mar 26th, 2026
Argonne Lab develops GridMind AI agent to support power grid operators

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.

Yahoo Finance
Mar 11th, 2026
AI adviser helps Argonne's robotic lab discover advanced electronic materials in just 64 experiments

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.

Argonne National Laboratory
Jun 2nd, 2022
5 clean energy startups chosen for Argonne’s Chain Reaction Innovations - Chain Reaction Innovations

An energy and science incubator for transformative technologies