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Freelance High Performance Computing Engineer Jobs in Utah

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93K - $122K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and ... Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ...

AI Infrastructure Engineer IV

Lehi, UT

$100K - $132K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and ... Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ...

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93K - $122K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and ... Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ...

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and ... Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ...

... and high-performance computing at customer sites and in the lab. You will work directly with ... Scripting and programming - bash scripting is required; must be familiar with one or more other ...

... high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers operates globally, tackling the ...

GPU Kernel Software Engineer

Redmond, UT · On-site

$60K - $148K/yr

GPU Kernel Software Engineer City: Redmond State/Province: Washington Posting Start Date: 5/14/26 ... Adapt and run high-performance computing benchmarks and stress workloads, including: * High ...

GPU Kernel Software Engineer

Redmond, UT · On-site

$60K - $148K/yr

GPU Kernel Software Engineer City: Redmond State/Province: Washington Posting Start Date: 5/14/26 ... Adapt and run high-performance computing benchmarks and stress workloads, including: * High ...

... High Performance Computing (CHPC) is seeking students to fill part-time positions that support CHPC ... Programming skills in Python and/or other languages that LLM interfaces use Special Instructions ...

Senior RF Sensor System Engineer

Provo, UT

$98K - $135K/yr

As the RF Sensor System Responsible Engineering Authority (REA), you will collaborate with ... Familiarity with high-performance computing (HPC) environments and schedulers like SLURM. What We ...

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Freelance High Performance Computing Engineer information

How do freelance High Performance Computing (HPC) Engineers typically collaborate with client teams during projects?

Freelance HPC Engineers often work closely with client engineering, research, or IT teams to design, implement, and optimize computational solutions. Collaboration usually occurs through regular virtual meetings, code reviews, and progress updates to ensure alignment with project goals and technical requirements. Clear communication and documentation are essential, as freelancers may need to integrate their work into larger systems or hand off projects to in-house teams. Building strong relationships and understanding the client's workflow help ensure successful project delivery and can lead to ongoing opportunities.

What is a Freelance High Performance Computing Engineer?

A Freelance High Performance Computing (HPC) Engineer is a professional who specializes in designing, implementing, and optimizing computing systems that handle complex, large-scale computations. They work independently or on a contract basis for different organizations, helping to develop and maintain supercomputers, clusters, and parallel processing applications. Their expertise is often sought in fields like scientific research, finance, artificial intelligence, and engineering where processing large datasets quickly is essential. Freelancers in this field typically possess strong programming skills, knowledge of HPC architectures, and experience with performance tuning and troubleshooting.

What are the key skills and qualifications needed to thrive as a Freelance High Performance Computing Engineer, and why are they important?

To thrive as a Freelance High Performance Computing Engineer, you need expertise in parallel programming, cluster management, and a strong background in computer science or engineering. Familiarity with tools such as MPI, OpenMP, Linux environments, and cloud-based HPC platforms, along with certifications in cloud services or HPC technologies, is highly beneficial. Excellent problem-solving, project management, and communication skills set top freelancers apart when working with diverse clients. These competencies ensure the delivery of optimized, scalable solutions and effective collaboration in complex technical projects.

What is the difference between Freelance High Performance Computing Engineer vs Freelance Data Scientist?

AspectFreelance High Performance Computing EngineerFreelance Data Scientist
CredentialsAdvanced degrees in computer science, engineering, or related fields; knowledge of HPC systemsDegree in data science, statistics, or related fields; proficiency in programming and analytics
Work EnvironmentSpecialized computing clusters, research labs, or cloud HPC platformsData analysis environments, cloud platforms, and business analytics tools
Industry UsageResearch institutions, scientific computing, engineering simulations
Search & Comparison IntentFocus on high-performance computing tasks, technical skills

While both roles involve advanced technical skills, Freelance High Performance Computing Engineers specialize in optimizing and managing large-scale computing resources for scientific and engineering applications. Freelance Data Scientists focus on analyzing data to extract insights for business or research purposes. The key difference lies in their core focus: HPC engineers work with hardware and system performance, whereas data scientists work with data analysis and modeling.

What are popular job titles related to Freelance High Performance Computing Engineer jobs in Utah? For Freelance High Performance Computing Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Freelance High Performance Computing Engineer jobs in Utah look for? The top searched job categories for Freelance High Performance Computing Engineer jobs in Utah are:
What cities in Utah are hiring for Freelance High Performance Computing Engineer jobs? Cities in Utah with the most Freelance High Performance Computing Engineer job openings:
AI Infrastructure Engineer IV

AI Infrastructure Engineer IV

Autonomous Solutions

Mendon, UT • On-site

$93K - $122K/yr

Full-time

Posted 21 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.