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Cuda Programming Jobs in Chicago, IL (NOW HIRING)

Gehc

Director of Engineering, Architecture

Chicago, IL · On-site

$164K - $246K/yr

Strong programming background in C++, Python, Java, or Go. * Demonstrated success leading senior ... Knowledge of GPU computing (CUDA or equivalent), parallel processing, and high-performance ...

Lightspeed

AI & Machine Learning Engineer

Northbrook, IL · On-site

$100 - $130/hr

As an AI & Machine Learning Engineer, you will design, build, and deploy the intelligent systems ... CUDA, cuDNN, TensorRT, Jetson platforms Why Join LightSpeed: * Build AI systems that directly ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

... CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton Experience with hosting computer vision model inference on NVIDIA DGX Spark. Understanding of FDA ...

The University of Chicago

Senior Platform Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

Unix/Linux programming or system administration experience. * Experience with OpenStack and AWS p ... Experience provisioning and managing GPU-enabled infrastructure (NVIDIA GPUs, CUDA, multi-GPU ...

Parallel Works

Senior HPC Systems Engineer

Chicago, IL · Remote

$107K - $146K/yr

Driver and CUDA stack, DCGM health checks, XID triage, fabric manager and NVLink checks, InfiniBand ... * DevOps experience with infrastructure as code frameworks such as Ansible or Terraform.

Parallel Works

Senior HPC Systems Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

Driver and CUDA stack, DCGM health checks, XID triage, fabric manager and NVLink checks, InfiniBand ... * DevOps experience with infrastructure as code frameworks such as Ansible or Terraform.

Accenture

AI & HPC Infrastructure Engineer

Chicago, IL · On-site

$110K - $145K/yr

Architect and deploy with NVIDIA platform tools including Base Command Manager (BCM), NGC, NCCL, NVLink, and CUDA along with LLM inference engines (TensorRT-LLM), production serving frameworks (vLLM ...

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Showing results 41-56

All JobsCuda Programming JobsCuda Programming Jobs in Chicago, IL

Cuda Programming information

See Chicago, IL salary details

$28

$56

$84

How much do cuda programming jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for cuda programming in Chicago, IL is $56.04, according to ZipRecruiter salary data. Most workers in this role earn between $45.34 and $65.43 per hour, depending on experience, location, and employer.

What is the difference between Cuda Programming vs GPU Developer?

AspectCuda ProgrammingGPU Developer
Required CredentialsKnowledge of CUDA, C/C++, parallel computingKnowledge of GPU architecture, CUDA, OpenCL, C/C++
Work EnvironmentHigh-performance computing, scientific research, AIGraphics, gaming, scientific visualization, AI
Industry UsageTech companies, research labs, AI firmsGaming, entertainment, tech, research

While Cuda Programming focuses specifically on writing code using NVIDIA's CUDA platform for parallel processing, GPU Developers have a broader role that includes designing, optimizing, and implementing GPU-based solutions across various platforms and technologies. Both roles require knowledge of GPU architecture and programming languages like C/C++, but GPU Developers often work on a wider range of applications beyond CUDA-specific projects.

Are CUDA programmers in demand?

CUDA programmers are in high demand due to the growing need for high-performance computing in fields like artificial intelligence, scientific research, and data processing. Skills in parallel programming, GPU architecture, and CUDA toolkit are highly valued, and job opportunities are expected to grow as industries adopt GPU acceleration for complex tasks.

What does a CUDA programming developer do?

A CUDA programming developer writes software that leverages NVIDIA's CUDA platform to perform parallel processing on GPUs, optimizing computational tasks such as scientific simulations, machine learning, and image processing. They typically work with C++ and CUDA-specific libraries, debugging and optimizing code for high performance in environments that require intensive data processing.

What are popular job titles related to Cuda Programming jobs in Chicago, IL?

For Cuda Programming jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Cuda Programming jobs in Chicago, IL look for?

The top searched job categories for Cuda Programming jobs in Chicago, IL are:

Cuda Programming jobs near you
Infographic showing various Cuda Programming job openings in Chicago, IL as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 69% In-person, and 31% Remote job distribution, with an average salary of $116,561 per year, or $56 per hour.

Machine Learning Engineering Manager

United Airlines, Inc.

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Posted 15 days ago

United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 342 frontline employees who took The Breakroom Quiz

7th of 26 rated airlines

Job description

Description
Job overview and responsibilities
Develops and programs integrated software algorithms to structure, analyze and leverage data in systems applications. Develops and communicates statistical modeling techniques to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. Can work with large scale computing frameworks, data analysis systems and modeling environments.
  • Design and implement key components of the Machine Learning Platform infrastructure and establish processes and best practices
  • Work cross-functionally with data scientists, data engineers, and IT teams to design, develop, deploy, and integrate high-performance, production-grade machine learning solutions and data intensive workflows
  • Partner with data scientists and data engineers to create and refine features from underlying data and build reproducible feature pipelines to train models and serve features in production
  • Partner with data platform and operations teams to solve complex data ingestion, pipeline and governance problems for machine learning solutions
  • Take ownership of production systems with a focus on delivery, continuous integration, and automation of machine learning workloads
  • Provide technical mentorship, guidance, and quality-focused code review to data scientists and ML engineers

Qualifications
What's needed to succeed (Minimum Qualifications):
  • Bachelor's degree in computer science, engineering, or a related technical discipline
  • 3+ years of experience in managing technical teams and projects
  • 3+ years of experience in full software lifecycle development using Python
  • 3+ years of experience leading an ML Ops team familiar with large cloud environments, Big Data technologies
  • 3+ years in software development in Python, Java, PySpark
  • 3+ Years of Experience with Machine Learning and Machine Learning workflows
  • 3+ years of experience designing and developing using technologies as Docker, Kubernetes
  • Strong software engineering experience with Python and at least one additional language such as Java, Go, Rust, or C/C++
  • Understanding of machine learning principles and techniques
  • Experience with data science tools and frameworks (e.g. PyTorch, Tensorflow, Keras, Pandas, Numpy, Spark)
  • Experience designing and developing scalable cloud native solutions using technologies such as Docker and Kubernetes and serverless services such as AWS Lambda, EKS, ECS, Fargate
  • Experience building infrastructure-as-code templates (e.g. AWS CloudFormation) and cloud-native CI/CD pipelines using tools such as AWS CodePipeline
  • Experience building ETL pipelines and working with big data technologies (e.g. Hadoop, Spark, and serverless technologies such as EMR, Redshift, S3, AWS Glue, and Kinesis)
  • Knowledge of distributed systems as it pertains to compute and data storage
  • Strong desire to experiment with and learn new technologies and stay aligned with the latest community developments in ML Ops/Engineering and cloud native
  • Excellent oral and written communication skills. Ability to prepare high-quality presentation materials and explain complex concepts and technical materials to less-technical audiences
  • Must be legally authorized to work in the United States for any employer without sponsorship
  • Successful completion of interview required to meet job qualification
  • Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):
  • AWS Certified Solution Architect (Associate or Professional)
  • Experience working as a Machine Learning Engineer or Data Scientist building and productional machine learning solutions
  • Experience building real-time event-driven stream processing solutions with technologies such as Kafka, Flink, and Spark
  • Experience with GPU acceleration (e.g. CUDA and CuDNN)
  • Experience with Kubernetes

What United Airlines employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

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