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Cuda Jobs in Minnesota (NOW HIRING)

Senior Inference Engineer - AI

Eagan, MN · Hybrid

$106K - $146K/yr

Hands-on experience with GPU programming (CUDA preferred), inference runtimes (TensorRT, ONNX * Runtime), and deep learning frameworks (PyTorch/TensorFlow) * Proficiency in Python and at least one ...

Qt/QML. * Strong OpenGL Computer Shader Language or CUDA and general stream programming concept experience. * Solid understanding and experience with OpenGL 2D/3D Texture Mapping technique.

Showing results 21-32

Cuda information

See Minnesota salary details

$109.2K

$201.8K

How much do cuda jobs pay per year?

As of Aug 19, 2026, the average yearly pay for cuda in Minnesota is $196,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $200,800.00 and $200,800.00 per year, depending on experience, location, and employer.

What is a CUDA developer?

A CUDA job typically involves developing, optimizing, and implementing parallel computing applications using NVIDIA's CUDA platform. CUDA (Compute Unified Device Architecture) enables developers to leverage the power of GPUs for high-performance computing tasks such as deep learning, simulations, and scientific computing. Professionals in this role often work with C, C++, or Python, using CUDA libraries and frameworks to accelerate processing. Strong knowledge of parallel programming, memory management, and GPU architecture is essential for success in this field.

What are some common challenges faced when working as a CUDA developer, and how can they be addressed?

CUDA Developers often encounter challenges such as debugging complex parallel code, optimizing memory usage, and ensuring compatibility across different GPU architectures. To address these, it's important to leverage profiling tools like NVIDIA Nsight to identify bottlenecks and inefficiencies. Collaborating closely with team members, such as data scientists and software engineers, can also help in resolving integration issues and achieving better performance. Staying updated with the latest CUDA Toolkit releases and best practices is key to overcoming these challenges and delivering robust GPU-accelerated applications.

What are the key skills and qualifications needed to thrive as a CUDA developer, and why are they important?

To thrive as a CUDA Developer, you need strong programming skills in C/C++, a solid understanding of parallel computing concepts, and experience with GPU architectures. Familiarity with the CUDA toolkit, NVIDIA GPUs, and related profiling/debugging tools is typically required, and certifications in GPU programming can be advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills for optimizing code and collaborating with cross-functional teams. These skills are crucial for developing high-performance applications that leverage GPU acceleration, ensuring efficiency and innovation in compute-intensive fields.

What is the difference between Cuda vs GPU Developer?

AspectCudaGPU Developer
Required CredentialsKnowledge of CUDA programming, often with a background in computer science or engineeringExperience with GPU programming, CUDA, OpenCL, or similar; often requires a degree in computer science or related fields
Work EnvironmentPrimarily focused on developing and optimizing CUDA-based applications for NVIDIA GPUsDesigning, developing, and maintaining GPU-accelerated applications across various platforms and hardware
Industry UsageUsed mainly in high-performance computing, AI, and scientific research involving NVIDIA GPUsApplied across gaming, scientific computing, AI, and multimedia industries

In summary, CUDA is a specialized skill set focused on programming NVIDIA GPUs using CUDA, while a GPU Developer has a broader role that may include using various GPU programming tools and working across multiple platforms. CUDA is a subset of the skills a GPU Developer might possess, making them closely related but distinct roles.

What are the most commonly searched types of Cuda jobs in Minnesota?

The most popular types of Cuda jobs in Minnesota are:

What cities in Minnesota are hiring for Cuda jobs?

Cities in Minnesota with the most Cuda job openings:

Infographic showing various Cuda job openings in Minnesota as of August 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $196,382 per year, or $94.4 per hour.

HPC & AI Performance Engineer

Hewlett Packard Enterprise Development LP

Bloomington, MN • Hybrid

Full-time

Re-posted 3 days ago


Job description

HPC & AI Performance EngineerThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week 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:

HPE is seeking a High-Performance Computing (HPC) Benchmarking Performance Engineer to work with both standard and scientific application benchmarks on HPE's supercomputing platforms. Familiarity with HPC is advantageous, particularly in areas such as processor performance, network technologies, software expertise, and application performance and scalability. The ideal candidate will demonstrate strong technical skills in HPC scientific application software, performance analysis, and a solid understanding of HPC hardware and architecture, applying this knowledge to benchmarking activities for HPE supercomputers deployed globally.

HPE operates in a fast-paced and ever-changing environment. We are looking for driven engineers who consistently deliver the high-quality results for HPE's HPC & AI customers.

Responsibilities:

  • Successfully complete long and short-term benchmark projects involving some of the largest HPC systems in the world that utilize the newest HPC technologies.
  • Understand HPC architectural components and features, as well as performance estimation methodologies used to provide required information and performance assessments for benchmarks on future HPE and competitive systems.
  • Complete and provide technical analysis of HPC I/O, standard and scientific application performance-based benchmark tests.
  • Identify solutions, define action plans, and help coordinate and deliver optimal benchmark enhancements and solutions.
  • Proactively develop and maintain advanced knowledge of HPE and competitor HPC products by participating in targeted training sessions, and collaborating with internal and external HPC experts. Apply specialised HPC performance optimisation techniques including parallel processing, efficient memory management, and comprehensive code profiling to ensure delivery of robust benchmark performance results on HPE's HPC and AI systems.

Qualifications:

  • Experience with storage benchmarks, profiling tools and/or software for HPC systems. Coursework and internship experience is considered relevant
  • Knowledge of HPC system components that include processor technologies, accelerator technologies, memory technologies, & software technologies - and the ability to understand their impacts on various HPC benchmarks.
  • Understanding of parallel programming techniques and algorithms.
  • Ability to take on some of the most challenging HPC projects to advance the capabilities of HPC which will benefit HPE customers and the world.
  • A demonstrated ability to assess and optimize aspects of computational application benchmark performance on HPC Linux based system
  • Expertisewith software utilized by the HPC community that includes Compilers (C++, C, Fortran), OpenMP, MPI & MPI-IO, Python and other Linux based scripting languages
  • Expertise in GPU programming (CUDA and HIP)
  • Ability to use Performance profiling tools and debugging tools on Linux based systems.
  • Familiarity with analyzing and assessing benchmark and application performance for HPC systems.
  • Excellent analytical and problem-solving skills.
  • Excellent written and verbal communication skills; mastery of English required.
  • Masters degree [PhD preferred] in a technical field (Computer Science, Mathematics, Engineering, Physics, Chemistry, Environmental, etc.).

    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

    Job:

    Engineering

    Job Level:

    TCP_02"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 62,900 - 145,300 in Minnesota
    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.

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