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Remote High Performance Computing Jobs (NOW HIRING)

NVIDIA

Senior HPC Performance Engineer

$107K - $146.90K/yr

NVIDIA is a leading technology company specializing in computing solutions, and they are seeking a Senior HPC Performance Engineer to analyze and optimize High Performance Computing applications. The ...

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$32.5K

$68.2K

$112K

How much do remote high performance computing jobs pay per year?

As of Jun 3, 2026, the average yearly pay for remote high performance computing in the United States is $68,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $83,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote High Performance Computing (HPC) Specialist, and why are they important?

To thrive as a Remote High Performance Computing (HPC) Specialist, you need expertise in parallel computing, cluster management, and strong programming skills in languages such as Python, C/C++, or Fortran, often backed by a degree in computer science or a related field. Familiarity with HPC job schedulers (like SLURM or PBS), cloud platforms, and Linux-based systems, as well as relevant certifications, is highly valuable. Strong problem-solving abilities, effective communication, and the capacity to work independently are crucial soft skills in remote environments. These competencies ensure efficient deployment, management, and troubleshooting of complex HPC resources while supporting diverse user needs from a distance.

How does a Remote High Performance Computing (HPC) professional typically collaborate with research teams and IT staff?

Remote HPC professionals often work closely with research scientists, data analysts, and IT administrators to ensure computational resources are efficiently allocated and optimized for large-scale projects. Collaboration usually happens through virtual meetings, ticketing systems, and shared documentation platforms, requiring strong communication and problem-solving skills. Daily tasks may involve troubleshooting user issues, managing job scheduling, and maintaining cluster performance, all while coordinating with geographically dispersed teams. This dynamic environment fosters continuous learning and exposure to cutting-edge scientific and technical applications.

What is Remote High Performance Computing?

Remote High Performance Computing (HPC) refers to the use of powerful computing resources and clusters that are accessed over the internet or a network, rather than being located locally. This setup allows researchers, engineers, and organizations to perform complex computations, simulations, and data analysis from anywhere, without the need for on-site supercomputers. Remote HPC enables scalability, flexibility, and cost-effectiveness by allowing users to leverage shared resources, often provided by cloud service providers or specialized data centers.

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

AspectRemote High Performance ComputingRemote Data Scientist
Required CredentialsAdvanced degrees in Computer Science, Engineering, or related fields; experience with HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; proficiency in programming languages
Work EnvironmentAccess to supercomputers, clusters, or cloud HPC resources; collaborative teamsData analysis environments, cloud platforms, and programming tools; often collaborative
Industry UsageResearch institutions, scientific computing, engineering simulationsTech companies, finance, healthcare, research

Remote High Performance Computing specialists focus on managing and utilizing supercomputing resources for complex simulations and data processing. Remote Data Scientists analyze large datasets to extract insights. While both roles require programming skills and advanced degrees, HPC roles emphasize system management and computational efficiency, whereas Data Scientists focus on data analysis and modeling.

More about Remote High Performance Computing jobs
What cities are hiring for Remote High Performance Computing jobs? Cities with the most Remote High Performance Computing job openings:
What are the most commonly searched types of High Performance Computing jobs? The most popular types of High Performance Computing jobs are:
What states have the most Remote High Performance Computing jobs? States with the most job openings for Remote High Performance Computing jobs include:
What job categories do people searching Remote High Performance Computing jobs look for? The top searched job categories for Remote High Performance Computing jobs are:
Remote High Performance Computing jobs near you
Infographic showing various Remote High Performance Computing job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 6% Full Time, 90% Part Time, 2% Temporary, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $68,249 per year, or $32.8 per hour.

Data Infrastructure Engineer (Rust) - High Performance Computing

Alignerr

Denver, CO • Remote

Other

Posted 28 days ago

Job description

Data Infrastructure Engineer (Rust) - High Performance Computing
About the Role
What if your mastery of Rust could directly shape the infrastructure powering the next generation of AI? We're looking for a Senior Rust Engineer to build the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their most advanced models.
This is a fully remote, flexible contract role for an elite systems engineer who knows Rust at a deep level - memory layout, SIMD, concurrency, and all. You'll work on real production systems at the frontier of AI development, collaborating with research and engineering teams doing genuinely important work.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 20-40 hours/week
What You'll Do
  • Design, build, and optimize high-performance Rust systems supporting large-scale AI data pipelines and evaluation workflows
  • Develop full-stack tooling and backend services for data annotation, validation, and quality control
  • Identify and eliminate bottlenecks through deep profiling, SIMD optimizations, and careful memory management
  • Improve reliability, performance, and safety across existing Rust codebases
  • Collaborate with data, research, and engineering teams to support model training and evaluation workflows
  • Participate in synchronous design reviews and iterate quickly on system architecture decisions
Who You Are
  • 5+ years
    of professional experience writing production-grade Rust
  • Deep expertise in
    data parallelism and concurrency patterns
    - you know how to maximize CPU saturation
  • Strong command of
    memory layout, SIMD optimizations, and heap allocation strategies
    to hunt down and fix performance bottlenecks
  • Native or fluent English speaker with clear written and verbal communication skills
  • Able to commit 20-40 hours per week consistently
  • Self-directed and comfortable working asynchronously in a remote engineering environment
Nice to Have
  • Prior experience with data annotation pipelines, data quality systems, or evaluation infrastructure
  • Familiarity with AI/ML workflows, model training, or benchmarking pipelines
  • Experience with distributed systems architecture or developer tooling
  • Background working with or alongside AI research teams
Why Join Us
  • Work on cutting-edge AI infrastructure projects alongside leading research labs
  • Fully remote and flexible - structure your work around your life
  • Freelance autonomy with the substance of high-impact, senior-level engineering work
  • Tackle genuinely hard systems problems that matter at scale
  • Potential for ongoing work and contract extension as new projects launch

Apply