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Cuda Engineer Jobs in Minnesota (NOW HIRING)

AI & HPC Infrastructure Engineer

Minneapolis, MN · On-site

$112K - $147K/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 ...

Build and maintain automated data preprocessing, feature engineering, and model evaluation ... Experience with GPU acceleration frameworks (CUDA, TensorRT, vLLM, Ollama). * Demonstrated ...

Build and maintain automated data preprocessing, feature engineering, and model evaluation ... Experience with GPU acceleration frameworks (CUDA, TensorRT, vLLM, Ollama). * Demonstrated ...

Build and maintain automated data preprocessing, feature engineering, and model evaluation ... Experience with GPU acceleration frameworks (CUDA, TensorRT, vLLM, Ollama). * Demonstrated ...

Build and maintain automated data preprocessing, feature engineering, and model evaluation ... Experience with GPU acceleration frameworks (CUDA, TensorRT, vLLM, Ollama). * Demonstrated ...

Build and maintain automated data preprocessing, feature engineering, and model evaluation ... Experience with GPU acceleration frameworks (CUDA, TensorRT, vLLM, Ollama). * Demonstrated ...

Showing results 21-33

Cuda Engineer information

See Minnesota salary details

$35.7K

$105.1K

$134.7K

How much do cuda engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for cuda engineer in Minnesota is $105,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,700.00 and $133,200.00 per year, depending on experience, location, and employer.

What is a CUDA engineer?

CUDA Engineers are software developers who specialize in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to write programs that run on Graphics Processing Units (GPUs). They optimize and accelerate computational tasks by parallelizing code, making use of GPUs’ capabilities for high-performance computing. CUDA Engineers often work in fields like machine learning, scientific computing, and graphics, where large amounts of data need to be processed quickly. Their expertise includes proficiency in C/C++, CUDA programming, and understanding GPU hardware and parallel computing concepts.

What are the key skills and qualifications needed to thrive as a CUDA engineer?

To thrive as a CUDA Engineer, you need a strong proficiency in C/C++ programming, parallel computing concepts, and deep knowledge of GPU architectures, often supported by a computer science or engineering degree. Experience with NVIDIA CUDA Toolkit, profiling/debugging tools, and sometimes certifications like NVIDIA DLI are highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you optimize code and collaborate across teams. These skills ensure efficient development of high-performance GPU applications and successful project delivery in compute-intensive fields.

What are some common challenges faced by CUDA engineers when optimizing GPU-accelerated applications?

CUDA Engineers frequently encounter challenges such as managing memory effectively between the host and the device, optimizing kernel performance, and minimizing data transfer bottlenecks. Debugging parallel code can also be complex due to race conditions and the difficulty of reproducing timing-related bugs. Collaborating closely with software developers and data scientists is essential to ensure that GPU resources are leveraged efficiently and that the application's overall performance meets project goals.

What is the difference between Cuda Engineer vs GPU Developer?

AspectCuda EngineerGPU Developer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related; knowledge of CUDA, C++, parallel programmingBachelor's or Master's in Computer Science, Engineering, or related; experience with GPU programming, CUDA, OpenCL
Work EnvironmentResearch labs, tech companies, hardware firms focusing on GPU accelerationSoftware development teams, gaming, AI, scientific computing sectors
Employer & Industry UsageHardware manufacturers, AI companies, high-performance computing firmsGame development, scientific research, machine learning applications

While both roles involve GPU programming and CUDA expertise, a Cuda Engineer primarily focuses on developing and optimizing CUDA-based solutions for hardware acceleration. In contrast, a GPU Developer works on broader GPU programming tasks, including application development across various platforms. The roles often overlap but differ in scope and specific focus areas.

What job categories do people searching Cuda Engineer jobs in Minnesota look for?

The top searched job categories for Cuda Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Cuda Engineer jobs?

Cities in Minnesota with the most Cuda Engineer job openings:

Infographic showing various Cuda Engineer job openings in Minnesota as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $105,073 per year, or $50.5 per hour.

Job Posting Title HPC Applications & Performance Engineer

Hewlett Packard Enterprise Development LP

Bloomington, MN • On-site

Full-time

Re-posted 8 days ago


Job description

Job Posting Title HPC Applications & Performance EngineerThis role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

Responsibilities
  • Provide pre- and post-sales technical and benchmarking support to enable HPC or AI customer opportunities
  • Collaborate with HPE product engineering, product management, and marketing to influence current and future product capabilities and direction
  • Evaluate emerging technologies and assess their impact on product differentiation (performance and features) for key customer applications
  • Develop and maintain current knowledge of HPE and competitor HPC/AI products and performance optimization techniques to ensure the team continues to deliver high-quality benchmark results
  • Lead application-focused performance studies and projects, and author technical reports and papers that communicate findings and recommendations

Needed qualifications:

  • Bachelors, Master's or PhD degree in computer science, engineering, mathematics, or equivalent
  • 7+ years of demonstrated experience with high-end HPC systems and performance analysis/tuning of scalable HPC applications
  • Excellent analytical and problem-solving skills
  • Excellent written and verbal communication skills; mastery of English required
  • U.S. citizenship required

Preferred qualifications:

  • Experience with large-scale HPC systems and software
  • Experience with large-scale AI systems and software is preferred
  • Detailed understanding of multiprocessor and GPU hardware architectures, capabilities, and parallel programming techniques (e.g., OpenMP, MPI, CUDA, HIP)
  • Proficiency with key industry-standard HPC benchmarks (e.g., HPL, HPCG, OSU MPI, NCCL/RCCL) on CPUs and GPUs is preferred
  • Experience with performance projection methodologies to model performance of alternate system architectures using performance measurement tools and techniques is preferred

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates#compute

Job:

Engineering

Job Level:

TCP_04"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 105,500 - 243,000 in Minnesota & Texas
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.