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Remote Hpc Engineer Jobs in Seattle, WA (NOW HIRING)

HPC Performance Engineer

Seattle, WA · On-site +1

$165K - $242K/yr

CoreWeave is seeking a highly skilled and motivated HPC Performance Engineer to join our HAVOCK ... Ability to effectively prioritize and communicate proposed features and fixes in a remote-employee ...

Escort HPC team members into the Fairfax environment using secure remote desktop screen sharing ... Experience with ticketing and workflow systems such as ICM, ServiceNow, and Azure DevOps. * Basic ...

... remote CDUs, fan walls, and high-density cooling strategies. * Experience working as a consulting engineer, design consultant, or owner's representative overseeing third-party design consultants.

Remote Hpc Engineer information

See Seattle, WA salary details

$44.4K

$115.8K

$156.5K

How much do remote hpc engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote hpc engineer in Seattle, WA is $115,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $132,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote HPC Engineer, you need a solid background in computer science or engineering, expertise in high-performance computing architectures, and experience with parallel programming. Familiarity with HPC job schedulers (like Slurm), Linux systems, distributed storage, and relevant certifications (such as CompTIA Linux+ or HPC-specific credentials) are commonly required. Strong problem-solving abilities, effective communication, and self-motivation are vital soft skills for addressing complex technical challenges remotely. These competencies ensure efficient system performance, seamless collaboration, and successful support of computational research or enterprise workloads.

What are Remote HPC Engineers?

Remote HPC (High Performance Computing) Engineers are professionals who design, implement, and manage high-performance computing systems, typically from a remote location. They work with powerful computer clusters and supercomputers to support complex computations in fields like scientific research, engineering, and data analysis. Their responsibilities include configuring hardware and software, optimizing system performance, troubleshooting issues, and ensuring the security and reliability of HPC resources. By working remotely, these engineers can support organizations and research teams around the world without needing to be physically present at the data center.

What is the difference between Remote Hpc Engineer vs Remote Cloud Engineer?

AspectRemote Hpc EngineerRemote Cloud Engineer
Required CredentialsBachelor's in Computer Science or related, certifications like HPC or LinuxBachelor's in Computer Science or related, cloud certifications (AWS, Azure)
Work EnvironmentHigh-performance computing clusters, research labs, data centersCloud platforms, virtual environments, cloud service providers
Employer & Industry UsageResearch institutions, scientific organizations, tech companiesTech firms, startups, enterprises using cloud infrastructure
Common Search & ComparisonYesYes

The main difference between a Remote Hpc Engineer and a Remote Cloud Engineer lies in their focus areas. Hpc Engineers specialize in high-performance computing systems used for scientific and research purposes, while Cloud Engineers focus on designing and managing cloud-based infrastructure. Both roles require technical expertise and certifications, but their work environments and industry applications differ significantly.

How do Remote HPC Engineers typically collaborate with on-site teams to manage high-performance computing clusters?

Remote HPC Engineers often rely on robust communication tools and version control systems to coordinate with on-site system administrators, researchers, and IT staff. They participate in regular virtual meetings to discuss cluster performance, resolve technical issues, and plan for upgrades or maintenance. Secure remote access protocols allow engineers to monitor, troubleshoot, and configure systems from afar, but effective collaboration also depends on clear documentation and periodic knowledge sharing sessions. Building strong relationships with on-site personnel helps ensure smooth operations and prompt resolution of any hardware or software challenges.
What are the most commonly searched types of Hpc Engineer jobs in Seattle, WA? The most popular types of Hpc Engineer jobs in Seattle, WA are:
What are popular job titles related to Remote Hpc Engineer jobs in Seattle, WA? For Remote Hpc Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Hpc Engineer jobs in Seattle, WA look for? The top searched job categories for Remote Hpc Engineer jobs in Seattle, WA are:
Infographic showing various Remote Hpc Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 84% Full Time, 9% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,797 per year, or $55.7 per hour.

HPC Performance Engineer

CoreWeave

Seattle, WA • On-site, Remote

$165K - $242K/yr

Other

Re-posted 26 days ago


CoreWeave rating

9.8

Company rating: 9.8 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

What you'll do:

CoreWeave is seeking a highly skilled and motivated HPC Performance Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will play a crucial part in the design, development, and optimization of our bare-metal systems from POST through joining a Kubernetes cluster. The team's primary responsibilities include maintaining a custom Linux kernel, various OS images (Ubuntu-based), the virtualization stack (kubevirt/qemu/vfio), and the container/pod runtime stack (containerd/nydus/kubelet). You will collaborate closely with cross-functional teams, up stack engineering teams, and stakeholders to ensure our low-level software stack is performant in the context of hardware updates; and providing data, metrics, dashboards, and analysis to substantiate performance assertions.

Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet

Our Team's Stack:

  • Python, Go, bash/sh, C
  • Prometheus, Victoria Metrics, Grafana
  • Linux Kernel (custom build), Ubuntu
  • Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs
  • Docker, kubernetes (k8s), KubeVirt, containerd, kubelet
About the role:
  • Develop and maintain tools for establishing systems performance baselines 
  • Develop and maintain performance regression analysis testing automation
  • Design and maintain performance regression test pipelines for HPC workloads
  • Debug and Tune fabric-level performance to ensure low-latency high throughput configurations
  • Development of telemetry for performance analysis across distributed clusters of servers
  • Triage and fix performance issues in Linux
  • Collect data, produce metrics and visualizations that communicate performance information compared to benchmarks; this data should lead to appropriate business decisions and toward greater automation that improves customer experience in relation to performance
  • Define Linux and OS requirements, specifications, and system architecture in relation to systems performance, in collaboration with cross-functional teams. Along with these responsibilities there will also be cross team collaboration to triage and resolve bottlenecks
Who you are:
  • 5+ years of professional experience in Systems/HPC Performance Engineering, Benchmarking, and/or Validation.
  • Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
  • Strong experience with MPI workloads and distributed system performance analysis
  • Familiarity with RoCE, InfiniBand, and GPUDirect/Data Direct I/O, NUMA, etc in HPC workloads
  • Hands-on use of public HPC benchmarks (HPCC, HPL, OSU, MLPerf-HPC, STREAM, IO500)
  • Extensive, deep experience in Linux internals
  • Fluency with a programming language geared toward automation (Python preferred, but others possible)
  • Experience writing robust, testable code
  • Experience diagnosing and fixing systems performance issues
  • Experiencing with implementing automation testing
  • Ability to effectively prioritize and communicate proposed features and fixes in a remote-employee environment
  • Strong passion for automation, with a commitment to automating processes comprehensively
  • Excellent documentation skills and attention to detail
  • Strong analytical and problem-solving abilities

Preferred:

  • Familiarity with QA/QE best practices
  • Familiarity with Golang
  • Opinions about software version control and team collaboration 
  • Experience working in Cloud environments
  • Experience as a software engineer writing large-scale applications
  • Experience in open-source community software development
  • Experience with machine learning is a huge bonus

Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

  • Be Curious at Your Core
  • Act Like an Owner
  • Empower Employees
  • Deliver Best-in-Class Client Experiences
  • Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 


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