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Cuda Jobs in Minnesota (NOW HIRING)

Edge AI Engineer

Finland, MN ยท On-site

$100 - $125/hr

Kokemusta GPU-ohjelmistojen kehittรคmisestรค kรคyttรคen HIP:iรค, CUDA:a tai OpenCL:รครค. * Yli viiden vuoden kokemus C++- ja Python-ohjelmoinnista (ei pakollinen). * Kokemusta TensorFlow- tai TinyML ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

GPU Software Engineer (C++)

Minneapolis, MN ยท On-site

$80 - $100/hr

Expertise in GPU-accelerated programming, including OpenGL, GLSL shaders, CUDA, or general stream programming concepts. Experience with NVIDIA GPU programming. Solid understanding of 2D/3D OpenGL ...

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Cuda information

See Minnesota salary details

$109.2K

$201.8K

How much do cuda jobs pay per year?

As of Sep 9, 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:

Infographic showing various Cuda job openings in Minnesota as of August 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $196,382 per year, or $94.4 per hour.

Senior Software Engineer Graphics, OpenGL, CUDA w2 preferred& Nvidia GPU Programming

Saint Paul, MN โ€ข On-site

PDDN Inc
IT Servicesย โ€ขย 11 - 50 employees

$123K - $163K/yr

Other

Posted 12 days ago


Key responsibilities

  • Develop, implement, and document software applications embedded in diagnostic and interventional cardiology devices.

  • Participate in all phases of the software lifecycle, including requirements, design, implementation, testing, and deployment.

  • Collaborate with cross-functional teams to ensure software meets product requirements, safety, reliability, and quality standards.


Job description

Role: Sr Software Engineer Graphics
Work location: ST PAUL MN
Background and Meet and Greet: MANDATORY
Job Type: Contract
Interview: Phone/Video.

Position Summary
This is a technical role with the candidate expected to be a critical contributor to building compelling products within Electrophysiology Division. The individual will participate in the development and deployment of system and software architecture to support our development programs. Design, develop, and document software applications embedded in diagnostic and interventional cardiology devices. Participate in all phases of the software lifecycle, including concept development, requirements, design, implementation, and testing.

Primary Duties And Responsibilities
Apply solid software design skills to develop medical devices to meet specific performance requirements and deliver on goals according to product development quality system. These activities include developing requirements specifications, design, implementation and testing of software and embedded software algorithms or/and general Linux applications and GUIs. These algorithms include real-time 3D location tracking, real-time 3D anatomical model creation and intracardiac signal visualization.
As a team member, contribute significantly to completion of various project activities, from definition, identifying software functional requirements, implementation, code reviews, and final release according to medical device development processes.
Create and implement software/test plans/protocols and generate test reports to ensure software/firmware design meets the specifications and quality system requirements.
Work closely with cross-function team, including design reviews with QA, RA, test engineers, hardware engineers to ensure the firmware design meets the product requirements, including safety, reliability and serviceability. Be creative and innovative in the product development process.
Make, recommend or justify critical technical decisions in product design. The decision should be based on broad investigation and testing.
Document and transfer developed solutions to manufacturing team for mass production and provide technical support and sustaining development in launch phase.

Required Skills
Minimum
B.S. or M.S (Preferred) in discipline such as Computer Science.
6+ years of software development or equivalent (e.g., 4+ years of Ph.D. research experience in Computer Science)
Experience with creating and managing requirements and translating them into effective architectures and software design
An understanding of requirements for, and experience in medical device development
Excellent documentation skills (highly regulated development environment)
Excellent Object-Oriented Design C++ and Qt Programming Experiences
Operating Systems: Linux
Software development through full product life-cycle
Strong OpenGL Computer Shader Language or CUDA and general stream programming concept experience
Experience with Nvidia GPU programming
Solid understanding and experience with OpenGL 2D/3D Texture Mapping technique
Excellent knowledge and experience in computational geometry algorithms

Preferred
GUI development experience: Qt/QML

Preferred
GUI development experience: Qt/QML
What are the Mandatory skills and skill proficiencies required for this position?
Experience with creating and managing requirements and translating them into effective architectures and software design
An understanding of requirements for, and experience in medical device development
Excellent documentation skills (highly regulated development environment)
Excellent Object-Oriented Design C++ and Qt Programming Experiences
Operating Systems: Linux
Software development through full product life-cycle
Strong OpenGL Computer Shader Language or CUDA and general stream programming concept experience
Experience with Nvidia GPU programming
Solid understanding and experience with OpenGL 2D/3D Texture Mapping technique
Excellent knowledge and experience in computational geometry algorithms