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Nvidia Hardware Engineer Jobs in Illinois (NOW HIRING)

Moonlite AI

Sr. Site Reliability Engineer (SRE)

Chicago, IL · On-site

$58.75 - $78/hr

Experience integrating storage (CSI drivers), networking (CNI, SR-IOV), and specialized hardware ... NVIDIA GPU Operator, MIG, time-slicing, and device plugins • Background with advanced Kubernetes ...

Parallel Works

Junior HPC Systems Engineer

Chicago, IL · On-site +1

... hardware. Customer success sets our priorities. We are a small engineering company, so engineers ... Time in any public cloud, and with NVIDIA GPU tooling such as nvidia-smi or DCGM. * Time with ...

Scalp Trade LLC

Network Engineer

Chicago, IL · On-site

$150K - $210K/yr

Our engineers work shoulder to shoulder with traders to design, build, and operate the ... hardware; direct experience with Arista is a strong plus (Cisco, Mellanox/NVIDIA also relevant)

Lightspeed

AI & Machine Learning Engineer

Northbrook, IL · On-site

$100 - $130/hr

Optimize model inference for edge deployment on GPU‑accelerated hardware in production Computer ... Optimize models for NVIDIA Jetson, industrial PCs, and edge computing platforms * Collaborate with ...

Moonlite

Sr. Site Reliability Engineer (SRE)

Chicago, IL · On-site

$58.75 - $78/hr

Deploy and optimize NVIDIA GPU operators, device plugins, and other custom scheduling logic for GPU ... Experience integrating storage (CSI drivers), networking (CNI, SR-IOV), and specialized hardware ...

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Nvidia Hardware Engineer information

See Illinois salary details

$49.4K

$141.7K

$190.4K

How much do nvidia hardware engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for nvidia hardware engineer in Illinois is $141,701.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,700.00 and $158,000.00 per year, depending on experience, location, and employer.

What is an Nvidia hardware engineer?

An Nvidia Hardware Engineer is responsible for designing, developing, and optimizing cutting-edge hardware components such as GPUs, AI accelerators, and high-performance computing chips. They work on circuit design, system architecture, validation, and performance optimization to ensure Nvidia's products meet industry standards. These engineers collaborate with software teams to enhance hardware-software integration and improve efficiency. The role requires expertise in areas like VLSI design, FPGA/ASIC development, and power management. Strong problem-solving skills and a background in electrical or computer engineering are essential.

What does an Nvidia hardware engineer do?

A typical day for an Nvidia Hardware Engineer involves designing, simulating, and testing hardware components, often working closely with software, verification, and product teams to ensure designs meet performance and reliability standards. The role includes reviewing schematics, running validation tests, analyzing data, and addressing technical challenges as they arise. Engineers regularly participate in cross-functional meetings to align on project goals, share updates, and troubleshoot issues collaboratively. This collaborative environment ensures that new Nvidia products are developed efficiently and meet the industry’s demanding standards, providing engineers with significant opportunities for learning and professional growth.

What are the key skills and qualifications needed to thrive as an Nvidia hardware engineer?

To thrive as an Nvidia Hardware Engineer, you need a strong background in electrical engineering, digital and analog circuit design, and familiarity with ASIC/FPGA development, typically demonstrated through a relevant degree and experience. Expertise with industry-standard tools like Cadence, Synopsys, and scripting languages, as well as knowledge of hardware validation methods, is frequently required. Strong problem-solving abilities, teamwork, and effective communication help engineers navigate complex projects and work across multidisciplinary groups. These skills and qualities are critical for designing innovative, high-performance hardware components and ensuring their successful integration into Nvidia’s advanced technologies.

What are the most commonly searched types of Nvidia Hardware Engineer jobs in Illinois?

The most popular types of Nvidia Hardware Engineer jobs in Illinois are:

What are popular job titles related to Nvidia Hardware Engineer jobs in Illinois?

For Nvidia Hardware Engineer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Nvidia Hardware Engineer jobs in Illinois look for?

The top searched job categories for Nvidia Hardware Engineer jobs in Illinois are:

Nvidia Hardware Engineer jobs near you
Infographic showing various Nvidia Hardware Engineer job openings in Illinois as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $141,701 per year, or $68.1 per hour.

Data Center Operations Systems Engineer II (Chicago) Software

Front Door Defense

Elk Grove Village, IL • On-site

$89 - $119/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Data Center Operations Systems Engineer II (Chicago) Coordinate and deploy data center infrastructure across sites to ensure reliable, scalable operations.

Location: Elk Grove Village, Illinois

Compensation: $89,000 - 119,000 USD / year

About The Role

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our Elk Grove Village, IL Data Center 5 days per week: 7/24 coverage.

What You'll Do
  • Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured
  • Troubleshoot hardware and software issues in some of the world's most advanced systems
  • Document data center layout and network topology in DCIM software
  • Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments
  • Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers
  • Work closely with HW Support team to ensure data center infrastructure-related support tickets are resolved
  • Work with RMA team to ensure faulty parts are returned and replacements are ordered
  • Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers
You
  • Are familiar with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
  • Are someone who pays attention to detail and has the ability to follow instructions
  • Are action-oriented and have a strong willingness to learn
  • Are willing to travel for bring up of new data center locations
Nice to Have
  • Experience with troubleshooting server hardware
  • Experience with/or knowledge of network topology
  • Familiarity with ticketing systems like JIRA and Zendesk
  • Experience with Linux administration
  • Experience with working in large-scale distributed data center environments
  • Experience with Supermicro & Nvidia hardware
Salary Range Information

This is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda
  • Founded in 2012, with 500+ employees, and growing fast
  • Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
  • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • Our values are publicly available: https://lambda.ai/careers
  • We offer generous cash & equity compensation
  • Health, dental, and vision coverage for you and your dependents
  • Wellness and commuter stipends for select roles
  • 401k Plan with 2% company match (USA employees)
  • Flexible paid time off plan that we all actually use
Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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