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Freelance High Performance Computing Engineer Jobs in Sandy, UT

... 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 ...

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 ...

We bring the strength of more than 100 years of experience and renowned engineering expertise to ... Proficiency with high performance computing (HPC) environments and schedulers such as SLURM What We ...

We bring the strength of more than 100 years of experience and renowned engineering expertise to ... Proficiency with high performance computing (HPC) environments and schedulers such as SLURM What We ...

Senior Software Engineer

Lehi, UT · Remote

$111K - $139K/yr

You will join an impressive team of developers and product managers who have built some of the ... Optimize the use of AWS services for high-performance computing, data storage, and cost-effective ...

Senior Software Engineer

Lehi, UT · On-site

$111K - $139K/yr

You will join an impressive team of developers and product managers who have built some of the ... Optimize the use of AWS services for high-performance computing, data storage, and cost-effective ...

Senior Software Engineer

Lehi, UT · On-site +1

$111K - $139K/yr

You will join an impressive team of developers and product managers who have built some of the ... Optimize the use of AWS services for high-performance computing, data storage, and cost-effective ...

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Freelance High Performance Computing Engineer information

See Sandy, UT salary details

$50.8K

$124.8K

$183.9K

How much do freelance high performance computing engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for freelance high performance computing engineer in Sandy, UT is $124,815.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $140,200.00 per year, depending on experience, location, and employer.

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.

Senior HPC Software Engineer

Senior HPC Software Engineer

Ford Motor Company

Salt Lake City, UT

$118K - $156K/yr

Other

Medical, Dental, Life, PTO

Posted 3 days ago


Job description

We are seeking a senior technical contributor to help support, modernize, and scale our on premise high performance computing platform. This role will work across Linux systems administration, HPC operations, Kubernetes-based services, automation, observability, software tooling, and user-facing platform delivery. The ideal candidate has deep experience administering RHEL based systems in complex compute environments and is comfortable troubleshooting issues across operating systems, schedulers, storage, networking, containers, applications, and user workloads.

This person will play a key role in improving the reliability, usability, and operational maturity of the platform. They will help develop and maintain core HPC services, support users running demanding engineering and AI/ML workloads, and create tooling, scripts, APIs, and integrations. Strong software engineering fundamentals are important, including experience with Python, Go, or similar languages, Git-based development workflows, code reviews, testing practices, CI/CD pipelines, documentation, and maintainable code design. Experience with Slurm or other workload managers is highly valued.

We are looking for someone who can balance strong technical depth with a user-focused delivery mindset. This role requires the ability to work collaboratively with platform engineers, application teams, and technical users to identify pain points, resolve production issues, document repeatable processes, and build durable improvements. The right candidate will be pragmatic, a team player, comfortable in a fast-moving environment, and motivated by making complex, massive on-prem infrastructure easier to operate, automate, observe, and continuously improve.

  • Administer, troubleshoot, and improve RHEL based high performance computing environments supporting CPU and GPU workloads.

  • Create and maintain HPC services across compute, storage, networking, scheduling, Kubernetes, and observability.

  • Develop tools, scripts, APIs, integrations, and automation using Python, Go, Bash, or similar languages.

  • Apply software engineering best practices, including Git workflows, code reviews, testing, modular design, and CI/CD.

  • Support and help update HPC scheduling environments, with Slurm experience preferred.

  • Improve monitoring, alerting, dashboards, and operational visibility using Grafana, Prometheus, Dynatrace, and related tools.

  • Partner with users, customers, and internal engineering teams to understand requirements, resolve issues, and improve platform usability.

  • Create and maintain documentation, architecture notes, user guides, and operational procedures.

  • Drive platform modernization focused on reliability, scalability, automation, security, and maintainability.

  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience

  • 10+ years of experience in systems engineering, infrastructure engineering, platform engineering, or a related technical role.

  • Strong Linux systems administration experience, preferably with RHEL.

  • Experience with Slurm, PBS, or another HPC workload manager.

  • Experience creating APIs, applications, and services that support platform operations and user workflows.

  • Experience supporting production compute, infrastructure, and large-scale technical environments.

  • Hands-on experience with scripting and software development using Python, Go, Bash, or similar languages.

  • Familiarity with CI/CD concepts, GitHub, and modern software delivery practices.

  • Strong troubleshooting skills across operating systems, services, networking, storage, and application layers.

  • Ability to write clear documentation and communicate effectively with both technical and non-technical stakeholders.

  • Strong ownership mindset with the ability to drive issues to resolution.

  • Ability to use independent judgement to make sound technical decisions.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:

  • Immediate medical, dental, and prescription drug coverage

  • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more

  • Vehicle discount program for employees and family members, and management leases

  • Tuition assistance

  • Established and active employee resource groups

  • Paid time off for individual and team community service

  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day

  • Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here: Benefit Summary (https://fordcareers.co/GSR)

This position is a salary grade 8 .

This position is a salary grade 8 and ranges from $113,580-192,900 .

*Visa Sponsorship is not provided for this role *****

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

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About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982