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High Performance Computing Jobs in Utah (NOW HIRING)

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage, and networking to support AI and ML workloads. * Deploy and manage AI systems within cloud ...

VAST Data

Customer Support Engineer

Lehi, UT · On-site +1

... high-performance computing at customer sites and in the lab. You will work directly with customers, and various business functions: consulting pre-sales teams on technical sales activities ...

Wipro Limited

GPU Kernel Software Engineer

Redmond, UT · On-site

$60K - $148K/yr

Adapt and run high-performance computing benchmarks and stress workloads, including: * High Performance Linpack (HPL) * BERT and similar benchmark-style workloads * Develop stress testing and ...

Wipro Limited

GPU Kernel Software Engineer

Redmond, UT · On-site

$60K - $148K/yr

Adapt and run high-performance computing benchmarks and stress workloads, including: * High Performance Linpack (HPL) * BERT and similar benchmark-style workloads * Develop stress testing and ...

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High Performance Computing information

See Utah salary details

$36.4K

$90.6K

$139.7K

How much do high performance computing jobs pay per year?

As of Jun 10, 2026, the average yearly pay for high performance computing in Utah is $90,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $114,700.00 per year, depending on experience, location, and employer.

What are the typical responsibilities of someone working in High Performance Computing?

Professionals in High Performance Computing (HPC) are often responsible for designing, implementing, and maintaining powerful computing clusters tailored for processing large data sets or running complex simulations. Daily tasks may include optimizing code and workflows for parallel environments, troubleshooting hardware and software issues, and supporting researchers or engineers in using HPC resources efficiently. Collaboration is common, as HPC specialists work closely with IT staff, domain scientists, and software developers to ensure systems meet project and organizational goals. This role provides a challenging and dynamic work environment, offering opportunities to continually learn about emerging technologies and methodologies in computational science.

What are the key skills and qualifications needed to thrive in the High Performance Computing position, and why are they important?

To thrive in High Performance Computing, you need expertise in parallel computing, computer architecture, and programming languages such as C/C++ or Fortran, often backed by a relevant degree in computer science or engineering. Familiarity with HPC cluster management, job scheduling systems (e.g., SLURM), and experience with accelerators like GPUs or cloud platforms is crucial; certifications in Linux administration or HPC technologies are advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities help professionals excel in complex, collaborative environments. These qualifications enable the efficient design, deployment, and maintenance of advanced computing infrastructure to support scientific and engineering applications.

What is a High Performance Computing job?

A High Performance Computing (HPC) job involves designing, managing, and optimizing advanced computing systems used for complex calculations, simulations, and data processing. Professionals in this field work with supercomputers, parallel computing frameworks, and high-speed networks to enhance computational efficiency. HPC specialists are commonly employed in scientific research, engineering, finance, and artificial intelligence to solve large-scale problems. Responsibilities often include developing algorithms, maintaining HPC clusters, and improving system performance.

What are the most commonly searched types of High Performance Computing jobs in Utah? The most popular types of High Performance Computing jobs in Utah are:
What are popular job titles related to High Performance Computing jobs in Utah? For High Performance Computing jobs in Utah, the most frequently searched job titles are:
What job categories do people searching High Performance Computing jobs in Utah look for? The top searched job categories for High Performance Computing jobs in Utah are:
What cities in Utah are hiring for High Performance Computing jobs? Cities in Utah with the most High Performance Computing job openings:
High Performance Computing jobs near you
Infographic showing various High Performance Computing job openings in Utah as of June 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $90,607 per year, or $43.6 per hour.
AI Infrastructure Engineer IV

AI Infrastructure Engineer IV

Autonomous Solutions

Mendon, UT • On-site

$93K - $122K/yr

Full-time

Posted 22 days ago

Job description

At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture, construction, landscaping, and logistics, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail and Growth guiding everything we do, we're shaping the future of automation in dynamic markets.
As an AI Infrastructure Engineer IV, you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our compute, storage, and cloud environments are scalable, efficient, and tuned for high-performance AI workloads. Working closely with data scientists, robotics engineers, and software teams, you'll develop robust infrastructure that supports the deployment and reliability of our AI-driven autonomous systems.
Responsibilities:
  • Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage, and networking to support AI and ML workloads.
  • Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability, cost-efficiency, and high availability.
  • Collaborate with data scientists, ML engineers, and software teams to support AI model development, training, and deployment workflows.
  • Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and reliable AI infrastructure processes.
  • Optimize compute and storage systems to achieve maximum performance and throughput for AI/ML pipelines.
  • Monitor system health and troubleshoot performance bottlenecks, infrastructure issues, and deployment challenges.

Required Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
  • 8+ years of experience in cloud infrastructure, DevOps, or platform engineering with 3+ years working on AI/ML systems.
  • Strong understanding of modern AI infrastructure components, including distributed computing, GPU-accelerated systems, and large-scale storage.
  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Proficiency with Kubernetes, Docker, Terraform, or similar containerization and orchestration tools.
  • Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.).
  • Experience implementing CI/CD pipelines, MLOps practices, and automation tooling.

At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

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