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Nvidia Software Jobs in Illinois (NOW HIRING)

Sovereign Technologies

Technical Lead

Peoria, IL · On-site

Experience with hardware/software integration, including compute, display, audio, or similar device ... Preferred Qualifications Experience with NVIDIA Orin / Jetson or similar edge AI platforms.

The University of Chicago

Senior Platform Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

Learn more at and Job Summary The job performs a variety of activities relating to software support ... Experience provisioning and managing GPU-enabled infrastructure (NVIDIA GPUs, CUDA, multi-GPU ...

Lightspeed

AI & Machine Learning Engineer

Northbrook, IL · On-site

$100 - $130/hr

Optimize models for NVIDIA Jetson, industrial PCs, and edge computing platforms * Collaborate with ... Experience optimizing ML models for edge deployment (TensorRT, ONNX, quantization) Software ...

Moonlite AI

Sr. Site Reliability Engineer (SRE)

Chicago, IL · On-site

$58.75 - $78/hr

... and optimize NVIDIA GPU operators, device plugins, and other custom scheduling logic for GPU ... and software developers. Preferred : • Experience building custom Kubernetes operators or ...

EOS

Network Pre-Sales Systems Engineer

Chicago, IL

Software defined architecture, (SD-WAN , SD-LAN) Data centre technologies (ACI, VMware, VDI etc) Security solutions (NGFW, ZTN, SASE) and knowledge of AI infrastructure (Nvidia, low latency network ...

Accenture

AI Native Transformation Manager

Chicago, IL · On-site

$117K - $120K/yr

Through partnerships with leading cloud providers such as Nvidia, AWS, Microsoft Azure, and Google ... The Work Most software developers, engineers, and architects get to build software systems. Very ...

AHEAD

Rack Configuration Technician

Libertyville, IL · On-site

$24 - $26/hr

... software. You'll work hands-on with the latest technologies from NVIDIA, Dell, Cisco, and other leading OEMs. Duties/Responsibilities * Build and configure computer servers based on engineering ...

AHEAD

Rack Configuration Technician

Libertyville, IL · On-site

$24 - $26/hr

... software. You'll work hands-on with the latest technologies from NVIDIA, Dell, Cisco, and other leading OEMs. Duties/Responsibilities * Build and configure computer servers based on engineering ...

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Showing results 21-40

All JobsNvidia Software JobsNvidia Software Jobs in Illinois

Nvidia Software information

See Illinois salary details

$46.5K

$108.4K

$160.9K

How much do nvidia software jobs pay per year?

As of Aug 7, 2026, the average yearly pay for nvidia software in Illinois is $108,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,200.00 and $126,000.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as an Nvidia software engineer?

To thrive as an Nvidia Software Engineer, you need proficiency in programming languages like C++ and Python, strong knowledge of computer architecture, and often a degree in computer science or a related field. Familiarity with parallel computing platforms such as CUDA, GPU development tools, and version control systems like Git is typically required. Problem-solving abilities, collaboration, and effective communication are crucial soft skills for success in this role. These competencies enable engineers to efficiently develop high-performance software and contribute to innovative graphics and AI solutions.

What is an Nvidia software engineer?

Nvidia Software engineers are professionals who design, develop, and optimize software solutions for Nvidia's products, such as GPUs, AI platforms, and related technologies. They work on a variety of projects, including graphics drivers, deep learning frameworks, and high-performance computing applications. Their role involves collaborating with hardware engineers, improving system performance, and ensuring seamless integration with Nvidia hardware. Nvidia Software engineers are essential in advancing the capabilities of graphics and AI technology.

What is the difference between Nvidia Software vs Nvidia Hardware Engineer?

AspectNvidia SoftwareNvidia Hardware Engineer
Required CredentialsBachelor's in Computer Science, Software Development experienceBachelor's in Electrical Engineering or Computer Engineering, hardware design experience
Work EnvironmentSoftware development teams, R&D labs, collaborative projectsHardware labs, prototyping, testing environments
Industry UsageDeveloping drivers, AI software, GPU programmingDesigning GPU chips, circuit boards, hardware components
Common Search/ComparisonYesNo

In summary, Nvidia Software professionals focus on developing and maintaining software solutions like drivers and AI applications, requiring programming skills and software credentials. Nvidia Hardware Engineers work on designing and testing physical GPU components, requiring engineering expertise. Both roles are vital in the tech industry but differ in their focus and skill sets.

What are common challenges faced by software engineers working at Nvidia, and how can they be addressed?

Software engineers at Nvidia often work on cutting-edge technologies in fields like graphics, AI, and high-performance computing, which can present unique challenges such as rapidly evolving technical requirements and complex problem-solving scenarios. Collaborating across multidisciplinary teams—often globally distributed—requires strong communication and adaptability. To succeed, it's important to proactively seek feedback, stay updated on emerging trends, and leverage Nvidia’s internal learning resources. Embracing a collaborative mindset and being open to continuous learning can help engineers navigate these challenges effectively.
What are popular job titles related to Nvidia Software jobs in Illinois? For Nvidia Software jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Nvidia Software jobs in Illinois look for? The top searched job categories for Nvidia Software jobs in Illinois are:
Nvidia Software jobs near you
Infographic showing various Nvidia Software job openings in Illinois as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $108,381 per year, or $52.1 per hour.

AI & Machine Learning Engineer

Lightspeed

Northbrook, IL • On-site

Full-time

Posted 17 days ago

Job description

Job Summary:
LightSpeed Build Technologies is revolutionizing the construction industry through AI-powered robotics. As an AI & Machine Learning Engineer, you will design, build, and deploy intelligent systems for construction robots, focusing on machine learning models for computer vision, predictive analytics, and process optimization.
Responsibilities:
• Design, train, and deploy ML models for robotic control, quality prediction, and process optimization
• Develop reinforcement learning and imitation learning systems for robot task planning
• Build predictive maintenance models using sensor data to anticipate equipment failures
• Implement anomaly detection for real-time quality monitoring during automated assembly
• Optimize model inference for edge deployment on GPU-accelerated hardware in production
• Develop deep learning pipelines for object detection, segmentation, and pose estimation
• Build real-time vision systems for robotic guidance, workpiece tracking, and dimensional verification
• Implement 3D point cloud processing for construction material recognition
• Design and train models for visual quality inspection using depth cameras and industrial imaging
• Build ML data pipelines from sensor acquisition through model training and deployment
• Establish data labeling, versioning, and management workflows for training datasets
• Implement model monitoring, A/B testing, and continuous improvement in production
• Design experiment tracking and reproducibility infrastructure (MLflow, Weights & Biases)
• Integrate ML models with ROS2-based 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 calibration
• Support scaling ML systems across multiple production cells and sites
Qualifications:
Required:
• 4+ years hands-on ML engineering building and deploying production models
• Deep proficiency with PyTorch or TensorFlow for model development and training
• Strong computer vision experience: object detection, segmentation, depth estimation, or 3D vision
• Understanding of reinforcement learning, imitation learning, or robot learning approaches
• Experience optimizing ML models for edge deployment (TensorRT, ONNX, quantization)
• Strong Python with experience in C++ for performance-critical components
• Experience with ML infrastructure: data pipelines, experiment tracking, model serving
• Proficiency with Linux, Docker, Git, and CI/CD workflows
• Understanding of real-time system constraints for ML inference in production
Preferred:
• MS or PhD in Machine Learning, Computer Science, Robotics, or related field
• Experience with robotics simulation: MuJoCo, IsaacSIM, or similar
• Background in manufacturing, industrial automation, or construction technology
• Experience with ROS/ROS2 integration for ML-powered robotics
• Published research or patents in computer vision, robot learning, or related ML
• Experience with NVIDIA ecosystem: CUDA, cuDNN, TensorRT, Jetson platforms
Company:
BUILDING TOMORROW'S HOMES, FASTER AND SMARTER The Lightspeed Integrated Walls, Floors and Roof Systems are built with advanced software and AI driven industrial robots, allowing us to seamlessly craft the walls, floors and roofs, integrating the framing, MEPs, insulation, and drywall in a single, efficient manufacturing line. Founded in , the company is headquartered in , , with a team of 11-50 employees. The company is currently Early Stage.

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