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Gpu Jobs in Utah (NOW HIRING)

Wipro Limited

GPU Kernel Engineer

Redmond, UT · On-site

$60K - $148K/yr

GPU Kernel Engineer City: Redmond State/Province: Washington Posting Start Date: 8/6/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company ...

Introl

Data Center Technician

Salt Lake City, UT · On-site

$30 - $36/hr

The region is growing as a hub for GPU computing and AI infrastructure. About Introl Introl stands apart as a leader in GPU infrastructure deployments, specializing in large-scale GPU cluster ...

Smule

Internship - Research Engineer

Salt Lake City, UT · On-site

$85 - $120/hr

Profile and optimize training and inference performance across GPU clusters, identifying and resolving bottlenecks. * Contribute to open‑source projects and internal libraries that codify best ...

Deloitte

AI Datacenter Associate VP

Salt Lake City, UT · Hybrid

Working fluency in AI/ML workload characteristics (training vs. inference), GPU/TPU architectures, high-performance interconnects (InfiniBand, NVLink), and current cooling and power realities (direct ...

University of Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$63K - $73K/yr

The target architecture is a supercomputer with AMD MI300A GPU+CPU. 2. Perform benchmarking studies to enhance scalability and achieve high node-level efficiency, surpassing existing AMR frameworks ...

Team LINX

Traveling Fiber Specialist

Salt Lake City, UT · On-site

$40 - $45/hr

You'll be on the leading edge of the infrastructure buildout driving AI and GPU cluster deployment, working alongside some of the most technically demanding fiber environments in the industry today.

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How much do gpu jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for gpu in Utah is $50.02, according to ZipRecruiter salary data. Most workers in this role earn between $49.23 and $59.09 per hour, depending on experience, location, and employer.

What is a GPU?

A GPU, or Graphics Processing Unit, is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images and graphics for display. While originally developed for rendering graphics in video games and visual applications, GPUs are now widely used for parallel processing tasks in areas such as artificial intelligence, data science, and scientific computing. Their architecture allows them to handle thousands of operations simultaneously, making them much faster than traditional CPUs for certain workloads.

What is a GPU engineer?

A GPU job refers to a computing task that utilizes a Graphics Processing Unit (GPU) for acceleration. GPUs are specialized processors designed for parallel processing, making them ideal for tasks like machine learning, scientific simulations, and rendering. Many software applications offload intensive computations to GPUs to improve performance and efficiency. Jobs related to GPUs can involve programming, optimization, and hardware configuration in fields like AI, gaming, and data analysis.

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

To thrive as a GPU Engineer, you need a solid background in computer engineering, mathematics, and programming languages such as C++ or CUDA, often supported by a relevant degree. Familiarity with GPU architectures, parallel computing frameworks, and tools like OpenCL or Vulkan is typically required. Analytical thinking, problem-solving, and teamwork are essential soft skills for innovating and debugging complex systems. These abilities are crucial for optimizing performance, ensuring compatibility, and driving advancements in graphics and computational workloads.

What are some common challenges faced by GPU engineers when optimizing performance for various applications?

GPU engineers often encounter challenges such as balancing high computational throughput with power efficiency, ensuring compatibility across different hardware architectures, and optimizing code for parallel processing. They must also troubleshoot bottlenecks in memory bandwidth and latency that can impact performance. Collaboration with software developers and hardware architects is crucial to identify and resolve these issues, and staying updated with the latest advances in GPU technologies is essential for continued success.

What is the difference between Gpu vs Data Scientist?

AspectGpuData Scientist
Required CredentialsKnowledge of parallel computing, programming skills (CUDA, OpenCL)Degree in Computer Science, Statistics, or related fields; programming skills
Work EnvironmentHardware-focused, technical, often in R&D or engineering teamsData analysis, modeling, research in various industries
Industry UsageTech, gaming, AI, machine learningFinance, healthcare, tech, marketing

Gpu specialists focus on hardware and parallel processing for computing tasks, while data scientists analyze data to extract insights. Both roles require technical skills, but Gpu roles are more hardware-oriented, whereas data scientists focus on data analysis and modeling.

How to get into the graphics processing unit industry?

To enter the GPU industry, candidates typically need a strong background in computer engineering, electrical engineering, or computer science, with skills in programming languages like C++ and knowledge of graphics APIs such as DirectX or Vulkan. Relevant experience can be gained through internships, projects, or certifications in hardware design, GPU architecture, or related fields. Staying updated on industry developments and obtaining certifications like NVIDIA's or AMD's developer programs can also enhance job prospects.

What are the most commonly searched types of Gpu jobs in Utah?

The most popular types of Gpu jobs in Utah are:

What are popular job titles related to Gpu jobs in Utah?

For Gpu jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Gpu jobs in Utah look for?

The top searched job categories for Gpu jobs in Utah are:

What cities in Utah are hiring for Gpu jobs?

Cities in Utah with the most Gpu job openings:

Gpu jobs near you
Infographic showing various Gpu job openings in Utah as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $104,038 per year, or $50 per hour.

GPU Kernel Engineer

Wipro Limited

Redmond, UT • On-site

$60K - $148K/yr

Full-time

Medical, Dental, PTO

Posted 13 days ago

Wipro rating

7.8

Company rating: 7.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

87th of 224 rated it services

Job description

Job Title: GPU Kernel Engineer
City: Redmond
State/Province: Washington
Posting Start Date: 8/6/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description:
Job Description
Job Role: GPU-Kernel Engineer
Primary Skills : GPU, Kernel development, PyTorch, Triton frameworks, AI/ML Model, Python, C++ programming, CUDA
Overview: We are seeking expert-level GPU Software Engineers to support a high-visibility platform initiative within the Maya program, focused on building software tooling on top of a custom compiler and SDK. The role involves developing, optimizing, and porting GPU kernels and AI workloads to a specialized hardware platform.
͏Job Description
Core Technical Skills (Must-Have)
Programming & Frameworks
  • Strong proficiency in Python
  • Expertise in C/C++ for systems-level programming
  • Hands-on experience with PyTorch
  • Experience with Triton (kernel development and Triton language)

GPU & Systems Expertise
  • Mandatory experience in GPU kernel development
  • Strong understanding of GPU architecture and performance optimization techniques
  • Experience with compiler optimizations and runtime execution models
  • Familiarity with custom SDKs and hardware abstraction layers

Mandatory Skills: Embedded and System Software.
Experience: 5-8 Years.
The expected compensation for this role ranges from $60,000 to $148,500 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

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