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Cuda Jobs in Minnesota (NOW HIRING)

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 ...

New

NextSilicon

HPC Applications Engineer

Minneapolis, MN · On-site +1

CUDA or similar GPU kernel languages * Hands-on experience with one or more AI/ML frameworks, such as pytorch Responsibilities * Profile and identify bottlenecks of a wide range of HPC applications ...

System One Holdings, LLC

Data Scientist

Minneapolis, MN · On-site

Experience with GPU acceleration frameworks (CUDA, TensorRT, vLLM, Ollama). * Demonstrated leadership in mentoring teams and defining enterprise data and AI governance policies. System One, and its ...

System One

Data Scientist

Edina, MN · On-site

Experience with GPU acceleration frameworks (CUDA, TensorRT, vLLM, Ollama). * Demonstrated leadership in mentoring teams and defining enterprise data and AI governance policies. System One, and its ...

System One

Data Scientist

Minneapolis, MN · On-site

Experience with GPU acceleration frameworks (CUDA, TensorRT, vLLM, Ollama). * Demonstrated leadership in mentoring teams and defining enterprise data and AI governance policies. System One, and its ...

System One

Data Scientist

Minneapolis, MN · On-site

Experience with GPU acceleration frameworks (CUDA, TensorRT, vLLM, Ollama). * Demonstrated leadership in mentoring teams and defining enterprise data and AI governance policies. System One, and its ...

System One

Data Scientist

Minneapolis, MN · On-site

Experience with GPU acceleration frameworks (CUDA, TensorRT, vLLM, Ollama). * Demonstrated leadership in mentoring teams and defining enterprise data and AI governance policies. System One, and its ...

System One

Data Scientist

Minneapolis, MN · On-site

Experience with GPU acceleration frameworks (CUDA, TensorRT, vLLM, Ollama). * Demonstrated leadership in mentoring teams and defining enterprise data and AI governance policies. System One, and its ...

Accenture

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 ...

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 ...

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.

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

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

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

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

What cities in Minnesota are hiring for Cuda jobs?

Cities in Minnesota with the most Cuda job openings:

Cuda jobs near you
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.

Edge AI Engineer

Onsekova

Finland, MN • On-site

$100 - $140/hr

Other

Posted yesterday

New

Job description

Overview

Edge AI Engineerinä olet suunnittelemassa ja toteuttamassa skaalautuvia, turvallisia ja kustannustehokkaita Edge AI -ratkaisuja. Tehtäviisi kuuluu vastata Edge AI -ratkaisujen suunnittelusta, toteutuksesta ja ylläpidosta, sekä tehdä yhteistyötä eri kehitystiimien kanssa. Osallistut jatkuvaan kehittämiseen, optimointiin ja uusien teknologioiden käyttöönottoon varmistaen, että palvelumme ovat huippuluokkaa ja vastaavat asiakkaiden sekä liiketoiminnan vaatimuksia.

Responsibilities
  • Suunnitella, toteuttaa ja ylläpitää Edge AI -ratkaisuja.
  • Tehtävään liittyy yhteistyö erilaisten kehitystiimien kanssa ja asiakasrajapinta tarpeen mukaan.
  • Osallistua jatkuvaan kehittämiseen, optimointiin ja uusien teknologioiden käyttöönottoon.
Qualifications
  • Vahva ymmärrys CPU- ja GPU-arkkitehtuureista sekä matalan tason optimointitekniikoista, kuten muistihierarkioista, käskyjen aikataulutuksesta ja suorituskyvyn optimointiin liittyvistä valinnoista.
  • Kokemusta C++-sovellusten ja -kirjastojen kehittämisestä, erityisesti korkean suorituskyvyn laskennan tai tieteellisten ohjelmistojen parissa.
  • 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-teknologioista.
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