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Nvidia Robotics Jobs in Illinois (NOW HIRING)

Nvidia

Senior System Software Engineer

Champaign, IL · On-site

$122K - $161K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

Nvidia

Senior System Software Engineer

Champaign, IL · On-site

$122K - $161K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

Lightspeed

AI & Machine Learning Engineer

Northbrook, IL · On-site

... robot control for real-time inference • Optimize models for NVIDIA Jetson, industrial PCs, and edge computing platforms • Collaborate with robotics engineers on sensor selection, placement, and ...

ZS

Manager - Manufacturing Digital Twin

Evanston, IL · On-site

$200K - $229K/yr

Deep knowledge of robotics simulation, factory automation, and virtual commissioning practices. * Familiarity with NVIDIA Omniverse (USD Composer/View, Nucleus Server), OpenUSD standards, and CAD/PLM ...

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Nvidia Robotics information

See Illinois salary details

$81.4K

$93K

$112.9K

How much do nvidia robotics jobs pay per year?

As of Sep 12, 2026, the average yearly pay for nvidia robotics in Illinois is $93,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,200.00 and $98,800.00 per year, depending on experience, location, and employer.

What is an Nvidia Robotics job?

An Nvidia Robotics job involves working on cutting-edge robotics technology, including AI-powered perception, planning, and control systems. Engineers in this role develop software and hardware solutions for autonomous machines, leveraging NVIDIA's GPUs, AI frameworks, and simulation tools. These jobs often involve contributing to platforms like Isaac Sim and Jetson to accelerate robotics research and deployment across industries such as manufacturing, logistics, and healthcare.

What are the typical responsibilities of a robotics engineer at Nvidia?

Robotics engineers at Nvidia are often involved in designing, developing, and testing advanced robotics solutions that leverage the company's cutting-edge AI and GPU technologies. On a daily basis, they may work on software algorithms, integrate sensor and perception systems, and optimize robotic hardware performance. Collaboration is a key part of the role, as engineers frequently interact with colleagues in software development, research, hardware engineering, and product management to bring new robotics platforms to market. Team members also participate in regular cross-functional meetings to align project goals and ensure seamless integration of robotics technologies across products.

What are the key skills and qualifications needed for a robotics position at Nvidia?

To excel in Nvidia Robotics, candidates typically need a strong background in robotics engineering, computer vision, machine learning, and software development, often supported by a relevant degree in computer science, engineering, or a related field. Experience with programming languages such as Python and C++, familiarity with ROS (Robot Operating System), and certifications in AI or robotics platforms are highly valued. Strong problem-solving abilities, teamwork, and adaptability help professionals address complex technical challenges and collaborate effectively. These skills are crucial for developing, optimizing, and deploying advanced robotic systems that meet Nvidia's innovative standards.

Does Nvidia Robotics have a robotics department?

Nvidia Robotics is a division within Nvidia focused on developing robotics solutions, including AI, sensors, and autonomous systems. The division employs engineers and researchers specializing in robotics, computer vision, and AI technologies to advance robotics applications. Job seekers interested in Nvidia Robotics should have skills in software development, AI, and robotics hardware integration.

How much do Nvidia Robotics engineers make?

Nvidia Robotics engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and specific role. Senior engineers or those with specialized skills in AI, machine learning, or robotics may earn higher salaries. Compensation often includes benefits such as stock options and bonuses.

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

The most popular types of Nvidia Robotics jobs in Illinois are:

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

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

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

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

Nvidia Robotics jobs near you
Infographic showing various Nvidia Robotics job openings in Illinois as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $93,026 per year, or $44.7 per hour.

Principal Systems Software Engineer - NVIDIA

Champaign, IL • On-site

Experience Champaign Urbana
See more jobs at Experience Champaign Urbanaexternal

$135K - $181K/yr

Other

Posted 13 days ago

Key responsibilities

  • Develop Java, Scala, and CUDA/C++ libraries to accelerate DataFrames and I/O operations on common file formats such as Parquet, ORC, and JSON.

  • Work with open source communities to enhance libraries like NVIDIA cuDF, CCCL, and UCX through technical discussion and code contributions.

  • Collaborate with distributed systems teams to craft solutions to distributed processing problems at large scale.

Job description

NVIDIA is a global leader in accelerated computing. It designs graphics processing units (GPUs) and chip units for mobile computing, automotive, gaming, and professional markets.


NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.


Please see the Research Park Tenant Directory for more information. NVIDIA – Research Park


About the role


NVIDIA is seeking a Sr. Systems Software Engineer for the Apache Spark Acceleration group. Over the past five years GPU accelerated data processing has moved from proof of concept to production deployments. Many enterprises are now recognizing the needs of accelerated computing to handle their large data processing needs. Multi-node GPU deployments will reduce cloud computing costs and lower latency batch ETL workloads.


At NVIDIA, we have been invested in accelerating Apache Spark, providing an open source plugin for Apache Spark. Apache Spark is the most popular data processing engine in data centers. We strive to accelerate Spark applications on GPUs without any code changes. We are passionate about working on hard problems that have an impact. You will need to have strong programming skills, a deep understanding of software development related to C++. You will work with a team that is using open source libraries like RAPIDS to accelerate reading, writing and batch data operations in Spark.


Requirements

  • BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field (or equivalent experience)

  • 15+ years of work experience in software development

  • Outstanding technical skills in designing and implementing high-quality distributed systems

  • Excellent programming skills in C++, Java, and/or Scala

  • Ability to work with teams across organizational boundaries and geographies

  • Familiarity with the open source data platform ecosystem (Apache Spark, Velox, Presto, Apache Arrow, Apache DataFusion, etc.). Meaningful contributions to the OSS community a plus.

  • Highly motivated with strong interpersonal skills

  • Database query optimization is a strong plus


Responsibilities

  • Develop Java, Scala and CUDA/C++ libraries to accelerate DataFrames and I/O operations on common file formats such as Parquet, ORC and JSON

  • Enable interoperability with table formats such as Apache Iceberg and Delta Lake, and metastores such as Unity Catalog

  • Work with open source communities to enhance libraries like NVIDIA cuDF, CCCL and UCX through technical discussion and code contributions

  • Collaborate with distributed systems teams to craft solutions to distributed processing problems challenges at large scale

  • Provide recommendations and feedback to teams regarding decisions surrounding topics such as infrastructure, continuous integration and testing strategy

  • Build, test and optimize CUDA/C++ libraries across different platforms


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD – 431,250 USD.


You will also be eligible for equity and benefits.


Applications for this job will be accepted at least until July 19, 2026.

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