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Nvidia Deep Learning Jobs in Illinois (NOW HIRING)

Lightspeed

AI & Machine Learning Engineer

Northbrook, IL · On-site

$100 - $130/hr

Develop deep learning pipelines for object detection, segmentation, and pose estimation * Build ... Optimize models for NVIDIA Jetson, industrial PCs, and edge computing platforms * Collaborate with ...

ClifyX

AI Architect for SAP

Mundelein, IL · On-site

$84 - $113/hr

The ideal candidate will bring deep expertise in Generative AI, Agentic AI, Enterprise AI ... NVIDIA AI, Anthropic Claude, and other enterprise AI technologies integrated with SAP systems.

New

ZS

Manager - Manufacturing Digital Twin

Evanston, IL · On-site

$200K - $229K/yr

Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ... Deep knowledge of robotics simulation, factory automation, and virtual commissioning practices.

Deloitte

Finance Analytics & AI Senior Consultant

Chicago, IL · On-site

$120K/yr

From learning to leadership, this is your chance to take your career to the next level. Our Senior ... NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of ...

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Nvidia Deep Learning information

See Illinois salary details

$10.7K

$81.3K

$135.7K

How much do nvidia deep learning jobs pay per year?

As of Aug 29, 2026, the average yearly pay for nvidia deep learning in Illinois is $81,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $134,700.00 per year, depending on experience, location, and employer.

What is an Nvidia Deep Learning job?

An Nvidia Deep Learning job typically involves working with AI, machine learning, and deep learning technologies to develop, optimize, and deploy neural network models. Employees in these roles may work on GPU acceleration, AI frameworks like TensorFlow and PyTorch, and specialized hardware like NVIDIA GPUs and TensorRT. Positions can range from research scientists and software engineers to AI infrastructure specialists, focusing on improving model performance and scalability. These professionals contribute to cutting-edge AI applications in fields like autonomous vehicles, healthcare, and robotics.

What are the main challenges faced by professionals working in Nvidia Deep Learning roles?

Professionals in Nvidia Deep Learning positions often encounter challenges such as optimizing deep learning models to run efficiently on GPU architectures, keeping up with rapidly evolving AI frameworks, and troubleshooting complex system-level integration issues. They may also need to balance tight project deadlines with the demands of rigorous research and experimentation. Collaboration with interdisciplinary teams—such as software developers, data scientists, and hardware engineers—is common and essential to deliver robust solutions. Overcoming these challenges helps professionals stay at the forefront of innovation in the AI and deep learning industry.

What are the key skills and qualifications needed to thrive in the Nvidia Deep Learning position, and why are they important?

Excelling in an Nvidia Deep Learning role requires a strong background in computer science, machine learning, and mathematics, often supported by an advanced degree in a related field. Expertise in deep learning frameworks (such as TensorFlow or PyTorch), CUDA programming, and experience with Nvidia GPU hardware are typically expected, along with relevant certifications like Nvidia Deep Learning Institute credentials. Strong analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this position. These skills are crucial to efficiently develop, optimize, and deploy deep learning models leveraging Nvidia technologies in cutting-edge applications.

How much does a Nvidia Deep Learning engineer make?

A Nvidia Deep Learning engineer typically earns between $100,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized expertise in AI frameworks and GPU programming can earn higher salaries, often exceeding $180,000. Compensation may also include bonuses and stock options in tech companies.

What are the most commonly searched types of Nvidia Deep Learning jobs in Illinois?

The most popular types of Nvidia Deep Learning jobs in Illinois are:

What are popular job titles related to Nvidia Deep Learning jobs in Illinois?

For Nvidia Deep Learning jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Nvidia Deep Learning jobs in Illinois look for?

The top searched job categories for Nvidia Deep Learning jobs in Illinois are:

Nvidia Deep Learning jobs near you
Infographic showing various Nvidia Deep Learning job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $81,287 per year, or $39.1 per hour.

System Software Engineer, HPC Performance

Nvidia

Champaign, IL

$173K - $205K/yr

Full-time

Posted 4 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Job description

NVIDIA's products, hardware and software, are world leaders for performance and efficiency. We are continually innovating in creative and unique ways to improve our ability to deliver extraordinary solutions across a wide range of sectors. We are seeking System Software Engineers who are passionate about what they do and are committed to making a difference in the world through their inventions.

In the Software Development Tools Team, we enable 1st & 3rd-party developers to turn NVIDIA's hardware into groundbreaking cluster, server, professional, consumer, automotive, and embedded solutions.

What you will be doing:

  • This position will be enhancing and expanding network hardware and software profiling tools. Implementation will be primarily in C/C++ with some Python for analysis scripting. You'll work with customers and engineers across teams to explore problems, find solutions, write functional requirements docs and designs, drive execution, and deliver multi-functional software solutions.

  • Partner with system architects, product definition engineers, software/firmware engineers, HW/SW applications engineers and operations, in a multifaceted, dynamic, high-energy work environment to bring industry-defining products to market.

  • Be involved with the premiere multi-discipline GPU+CPU+networking profiling tool in the industry. You will have the opportunity to work with researchers and real world developers who are doing important work to improve computers and computing systems.

  • Build software tools that enable developers across a spectrum of markets to optimize their workflows; enable complex computer systems doing ongoing work in High Performance Computing(HPC), Machine Learning, Deep Learning, Artificial Intelligence, Autonomous Machines, pro-visualization, and even entertainment. Enable work in tiny embedded and automotive systems. Our tools span the gamut.

What we need to see:

  • BS, MS, or PhD in EE, CE, CS, or Systems Engineering (or equivalent experience).

  • Minimum of 5 years of service in a related hardware/software position.

  • Excellent problem solving, collaborative, and interpersonal skills. Experience working with international teams preferred.

  • Experience creating monitoring, profiling, or optimization software tools for developers working on large scale systems. This includes both classic HPC and cloud computing environments.

Ways to stand out from the crowd:

  • Experience with multiple architectures (x86, ARM, Power) or multiple operating systems (Windows, Linux, macOS).

  • Proven track record of crafting engineering designs, driving them to consensus within teams, and bringing them to fruition.

  • Understanding of the intricacies of complex computer hardware and how that affects performance. Experience with low level hardware a major plus.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 29, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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