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Cuda Engineer Jobs in Minnesota (NOW HIRING)

NextSilicon

HPC Applications Engineer

Minneapolis, MN · On-site

We are looking for an experienced Applications Engineer to join the Applications team, with ... CUDA or similar GPU kernel languages * Hands-on experience with one or more AI/ML frameworks, such ...

NextSilicon

HPC Applications Engineer

Minneapolis, MN · On-site +1

We are looking for an experienced Applications Engineer to join the Applications team, with ... CUDA or similar GPU kernel languages * Hands-on experience with one or more AI/ML frameworks, such ...

Onsekova

Edge AI Engineer

Finland, MN · On-site

$100 - $140/hr

Kokemusta GPU-ohjelmistojen kehittämisestä käyttäen HIP:iä, CUDA:a tai OpenCL:ää. * Yli viiden vuoden kokemus C++- ja Python-ohjelmoinnista (ei pakollinen). * Kokemusta TensorFlow- tai TinyML ...

Thomson Reuters

Senior Inference Engineer - AI

Eagan, MN · On-site

$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 ...

THOMSON REUTERS

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 ...

Abbott

Staff Software Engineer

Saint Paul, MN · On-site

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.

Abbott

Staff Software Engineer

Saint Paul, MN

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.

Abbott

Staff Software Engineer

Saint Paul, MN · On-site

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.

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All JobsCuda Engineer JobsCuda Engineer Jobs in Minnesota

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 are popular job titles related to Cuda Engineer jobs in Minnesota?

For Cuda Engineer jobs in Minnesota, the most frequently searched job titles are:

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:

Cuda Engineer jobs near you
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.

HPC Applications Engineer

NextSilicon

Minneapolis, MN • On-site

Full-time

Re-posted 12 days ago

Job description

NextSilicon is reimagining high-performance computing. Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation. Our new software-defined hardware architecture enables HPC to fulfill its promise of breakthroughs in all fields of advanced research.

At NextSilicon, everything we do is guided by three core values:

  • Professionalism: We strive for exceptional results through professionalism and unwavering dedication to quality and performance.
  • Unity: Collaboration is key to success. That's why we foster a work environment where every employee can feel valued and heard.
  • Impact: We're passionate about developing technologies that make a meaningful impact on industries, communities, and individuals worldwide.

We are looking for an experienced Applications Engineer to join the Applications team, with demonstrated ability in moving HPC applications onto new platforms and in evaluating performance on node and at scale.

Location: Hybrid in either our Austin, TX or Minneapolis, MN offices (or willing to relocate) preferred but Remote considered for exceptional candidates.

As part of a software-defined hardware company, you will play a pivotal role in driving new software features based on your analysis of customer-defined applications and measuring the resulting performance improvements. This role stands on the edge of computer science/architecture and scientific applications which span a wide range of fields, including but not limited to graph algorithms, sparse computations, weather prediction, seismic imaging, genomics, molecular dynamics, quantum chemistry, and computational fluid dynamics. If you have a passion for science, a knack for solving complex problems, and thrive in a bleeding-edge multidisciplinary environment, we want to hear from you!


Responsibilities:
  • Profile and identify bottlenecks of a wide range of HPC applications on different architectures
  • Develop creative algorithmic and software solutions to solve bottlenecks and accelerate applications on a novel dataflow architecture
  • Translate application requirements into software features and hardware requirements
  • Develop performance models for future hardware architectures

Requirements:
  • US citizenship and eligibility to visit US government research facilities
  • B.S. degree in a hard science, engineering, computer science, or a related field; M.S. or Ph.D. strongly preferred


  • Hands-on experience with development applications in one or more HPC domains, particularly scientific applications that run at rack or system scale
  • High level of proficiency in one of C/C++/Fortran and familiarity with the others
  • Extensive experience with node level and distributed parallel programming models and a working understanding of OpenMP, MPI in particular
  • Ability to measure application-level performance and profile HPC applications at the node level and at scale
  • Willingness to travel as necessary
  • Ability to work remotely and independently in a fast-paced environment with minimal direct supervision


Desired Skills:

  • Expertise in competitive performance analysis is strongly preferred
  • CUDA or similar GPU kernel languages
  • Hands-on experience with one or more AI/ML frameworks, such as pytorch