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Hpc Support Engineer Jobs (NOW HIRING)

Lambda

HPC Support Engineer

$122K - $162K/yr

Be ready to roll up your sleeves and pitch in wherever needed, especially during fast, high-volume deployments You * 3+ years of hands-on HPC experience in an administration, support, or engineering ...

PGTEK

HPC Infrastructure Engineer - Travel role

Atlanta, GA · On-site

$90K - $100K/yr

Infrastructure / High-Performance Computing (HPC) Support Engineer We are seeking an Infrastructure / High-Performance Computing (HPC) Support Engineer to join our growing team. This is a hands-on ...

PGTEK

HPC Infrastructure Engineer - Travel role

Chicago, IL · On-site

$90K - $100K/yr

Infrastructure / High-Performance Computing (HPC) Support Engineer We are seeking an Infrastructure / High-Performance Computing (HPC) Support Engineer to join our growing team. This is a hands-on ...

NVIDIA Gruppe

WI · On-site

$150 - $200/hr

Senior HPC Support Engineer - Ethernet / AI Infrastructure We are seeking a highly motivated Senior HPC Support Engineer - Ethernet / AI Infrastructure to be engaging with one of our prestige ...

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How much do hpc support engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for hpc support engineer in the United States is $39.87, according to ZipRecruiter salary data. Most workers in this role earn between $29.57 and $46.63 per hour, depending on experience, location, and employer.

What is an HPC Support Engineer?

An HPC (High Performance Computing) Support Engineer is a technical professional responsible for maintaining, troubleshooting, and optimizing supercomputing systems and clusters used in scientific research, engineering, and data-intensive applications. They assist users with software installation, job scheduling, and performance tuning, ensuring efficient operation of HPC resources. Their role often involves working with both hardware and software, collaborating with researchers, and providing technical support to resolve issues related to HPC environments.

What are some common challenges faced by HPC Support Engineers when assisting users with high-performance computing clusters?

HPC Support Engineers often encounter challenges such as troubleshooting complex software or hardware issues, optimizing user workloads for maximum efficiency, and managing resource contention among multiple users. They must balance providing prompt support to users while ensuring the stability and security of the cluster. Effective communication and a strong understanding of both the technical infrastructure and users' scientific workloads are essential for resolving issues and maintaining smooth operations.

What are the key skills and qualifications needed to thrive as an HPC Support Engineer, and why are they important?

To thrive as an HPC Support Engineer, you need strong knowledge of Linux/Unix systems, parallel computing, and networking, typically backed by a degree in computer science, engineering, or a related field. Familiarity with job schedulers (like Slurm), cluster management tools, and scripting languages, as well as relevant certifications such as Linux+, is highly beneficial. Excellent problem-solving skills, effective communication, and customer service orientation set outstanding candidates apart. These skills are vital for ensuring high-performance computing environments run efficiently and users receive prompt, expert support.

What is the difference between Hpc Support Engineer vs Network Support Engineer?

AspectHpc Support EngineerNetwork Support Engineer
Required CertificationsLinux, HPC, or vendor-specific certificationsCCNA, CompTIA Network+, Cisco certifications
Work EnvironmentHigh-performance computing clusters, research labsCorporate networks, data centers, ISPs
Industry UsageResearch, scientific computing, academiaTelecommunications, IT services, enterprise networks
Common Search/ComparisonYesYes

The main difference between an Hpc Support Engineer and a Network Support Engineer lies in their focus areas. Hpc Support Engineers specialize in maintaining and troubleshooting high-performance computing systems used in research and scientific environments, while Network Support Engineers focus on managing and supporting network infrastructure in corporate or service provider settings. Both roles require technical certifications and involve working with complex systems, but their environments and specific skill sets differ.

What cities are hiring for Hpc Support Engineer jobs?

Cities with the most Hpc Support Engineer job openings:

What states have the most Hpc Support Engineer jobs?

States with the most job openings for Hpc Support Engineer jobs include:

What are popular job titles related to Hpc Support Engineer jobs?

For Hpc Support Engineer jobs, the most frequently searched job titles are:

Infographic showing various Hpc Support Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $82,930 per year, or $39.9 per hour.

HPC Support Engineer

Remote

Lambda
See more jobs at Lambdaexternal

$122K - $162K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Job description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
This position is expected to participate in an on-call rotation.
What You'll Do
  • Serve as a senior technical escalation point, troubleshooting the hardest infrastructure and platform issues down to the hardware, driver, or kernel level when needed
  • Quickly and accurately distinguish between hardware failures, driver issues, kernel-level problems, and customer workload misconfiguration, so issues get resolved correctly the first time
  • Proactively identify process, tooling, and documentation gaps, and go fix them, not just wait for them to be assigned
  • Use AI tools effectively to build scripts, automations, or small internal tools that close real operational gaps (no professional development background required)
  • Perform root-cause analysis across distributed systems, clusters, and GPU infrastructure
  • Craft clear documentation of solutions and contribute to evolving support procedures
  • Collaborate closely with engineering teams to turn recurring customer pain points into permanent fixes
  • Take escalations from peers while training and mentoring them in the process
  • Participate in a rotating on-call schedule, owning major incidents and major customer issues
  • Be ready to roll up your sleeves and pitch in wherever needed, especially during fast, high-volume deployments

You
  • 3+ years of hands-on HPC experience in an administration, support, or engineering role.
  • Very strong understanding and experience supporting Linux in a system administration role.
  • Proven experience in HPC environments, showcasing your expertise in Linux cluster administration, with strong preference for Kubernetes and/or Slurm for cluster orchestration.
  • Strong coding ability and CI/CD experience, with a track record of using AI-assisted tools to move fast.
  • Proficiency with monitoring/logging tools (Prometheus, Grafana, Datadog).
  • Strong skills in log analysis, debugging kernel-level issues, and performance profiling.
  • Experience with CUDA, NCCL, NVLink, GPUDirect RDMA.
  • Experience with high throughput networking technologies(IB/RoCE).
  • Knowledge of distributed AI/ML or HPC workloads.
  • Knowledge of TCP/IP, VPN, and firewalls in cloud environments.
  • Ability to work independently and mentor junior support engineers.

Nice to Have
  • Experience with virtualization and container (Docker, Kubernetes) technologies.
  • Experience with neoclouds/GPU cloud providers.
  • Flexible availability for potential shifts outside of normal working hours/weekends.
  • Experience with high performance storage systems.
  • Familiarity with infrastructure-as-code tools (Terraform, Ansible, etc.)
  • Experience with Nvidia GPUs and Infiniband.

Salary Range Information
This is a salaried exempt role. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
  • Founded in 2012, with 500+ employees, and growing fast
  • Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
  • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • Our values are publicly available: https://lambda.ai/careers
  • We offer generous cash & equity compensation
  • Health, dental, and vision coverage for you and your dependents
  • Wellness and commuter stipends for select roles
  • 401k Plan with 2% company match (USA employees)
  • Flexible paid time off plan that we all actually use

Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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