Full-Time

Maintenance Mechanic 1

Posted on 2/28/2026

Argonne National Laboratory

Argonne National Laboratory

1,001-5,000 employees

Advanced scientific research and computing facilities

Compensation Overview

$43.83 - $44.03/hr

Company Does Not Provide H1B Sponsorship

Woodridge, IL, USA

In Person

Off-shift schedule: 3:00pm–11:00pm or 11:00pm–7:00am; Wed-Sun; Mon-Tue off; training Mon-Fri 7am-3:30pm.

Category
General Maintenance & Repair (1)
Requirements
  • Two years of technical school training and 3+ years of experience, including computer literacy.
  • Or 5+ years professional experience in preventative maintenance systems.
Responsibilities
  • Monitor and record temperatures and pressures of equipment and building systems
  • Maintain proper chilled water, hot water, process water temperatures and system pressures
  • Maintain proper compressed air system pressure
  • Start and stop centrifugal chillers and associated cooling towers
  • Start and stop hydronic pumps
  • Start and stop air compressor and dryer systems
  • Perform chemical/water analysis on chilled water, cooling tower, hot water and steam condensate
  • Calibrate water quality analyzers and chemical feeds
  • Troubleshoot operating equipment problems, recommend corrective action and take action as directed
  • Report operational problems to area maintenance foreman beyond ability to resolve
  • Perform routine maintenance on equipment and the facility and clean machinery spaces
  • Legibly record plant parameter readings in building area logs books
  • Answer phone calls, pages and radio communications with on duty personnel and respond to requests and emergencies
  • Keep area maintenance foreman informed of activities and area deficiencies
  • Must be able to work a variety of shifts
  • Training schedule will be Monday - Friday from 7am - 3:30pm for four months, and your afternoon or overnight schedule will be given to you after training is successfully completed.
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

1,001-5,000

Company Stage

Grant

Total Funding

$19.7M

Headquarters

Lemont, Illinois

Founded

1946

Simplify Jobs

Simplify's Take

What believers are saying

  • AI inference service monetizes spare supercomputer capacity for DOE researchers.
  • GridMind targets utility operators with explainable natural-language control-room support.
  • Polybot accelerated materials discovery from 4,300 combinations to 64 experiments.

What critics are saying

  • Federal appropriations pressure can defer facility upgrades and staffing.
  • Commercial AI and utility software vendors can outcompete research prototypes.
  • Accelerator procurement delays can slow AI capability upgrades and user access.

What makes Argonne National Laboratory unique

  • DOE multidisciplinary lab with >1,000 scientists and major user facilities.
  • Operates Advanced Photon Source and Argonne Leadership Computing Facility.
  • Combines industry, academia, and government collaborations on national challenges.

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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

0%

1 year growth

1%

2 year growth

2%
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.

Techable
Nov 21st, 2020
アルゴンヌ国立研究所、1万個以上のセンサーを使って交通状況を瞬時に予測!

米国エネルギー省(DOE)のアルゴンヌ国立研究所の研究者らは、ローレンスバークレー国立研究所が主導するモビリティシステムの設計・計画に関するプロジェクトの一環として、交通状況を予測するAIシステムを開発中だ。

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