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Remote Hpc Engineer Jobs (NOW HIRING)

... Applications Engineer to join the Applications team, with demonstrated ability in moving HPC ... Remote considered for exceptional candidates. As part of a software-defined hardware company, you ...

... Remote considered for exceptional candidates. Requirements * Bachelor's degree in engineering ... Deep understanding of HPC & AI technologies and software ecosystems * Hands-on experience ...

Location : Hybrid in either our Austin, TX or Minneapolis, MN offices preferred but Remote ... Bachelor's degree in engineering, mathematics, computer science, related field, or equivalent ...

We are looking for an experienced HPC and AI application field support engineer to join our pre ... Location : Hybrid in either our Austin, TX or Minneapolis, MN offices preferred but Remote ...

We are looking for an experienced HPC and AI application field support engineer to join our pre ... Location : Hybrid in either our Austin, TX or Minneapolis, MN offices preferred but Remote ...

Bachelor's degree in computer science, Engineering, Information Systems, or equivalent practical ... PHYSICAL POSITION REQUIREMENTS Primarily office/remote knowledge-work role; prolonged periods of ...

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Remote Hpc Engineer information

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$39K

$101.8K

$137.5K

How much do remote hpc engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for remote hpc engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is a remote HPC engineer?

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 skills and qualifications are needed to be a remote HPC engineer?

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.

How do remote HPC engineers 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 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.

More about Remote Hpc Engineer jobs

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Infographic showing various Remote Hpc Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

Senior Software Engineer - AI/HPC Middleware

New York, NY โ€ข Remote

Cornelis Networks, Inc.
Software Developmentย โ€ขย 51 - 200 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

At Cornelis we’re building the future of AI and HPC networking with an AI-first approach to silicon and software development. We’re seeking engineers who are energized by working on cutting-edge ASIC design and distributed software systems, and who are motivated to push the boundaries on how AI can transform everything from chip architecture to system performance at scale.


Cornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.


We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.


We are seeking an experienced Senior Software Engineer to contribute to the design, development, and upstream enablement of Cornelis Networks' AI/HPC communication middleware. This role focuses on enabling and optimizing HPC middleware (MPI/SHMEM) and AI middleware (collective communication libraries / CCL, e.g., NCCL/RCCL and related stacks) over Cornelis Networks' interconnects. You will help drive performance, correctness, and deployability across real customer workloads by collaborating across the stack (drivers/kernel, switches, systems, and application/framework teams) and by contributing upstream to key open-source projects. 


Key Responsibilities

  • AI/HPC Middleware Enablement & Optimization: Implement and help optimize features for HPC middleware (HPI and SHMEM) and AI middleware (CCL stacks ie: NCCL/RCCL and related collective communication libraries)
  • Transport & Integration: Assist in integrating middleware capabilities with underlying transports and provider layers (ie: libfabric / OFI, UCX, verbs-like semantics where applicable)
  • Upstream & Open-Source Leadership: Prepare and submit upstream contributions across MPI/SHMEM projects, CCL ecosystems, and related components
  • Cross-Stack Collaboration & Performance Validation: Collaborate with kernel/driver and switch teams to help deliver end-to-end performance aligned to the Cornelis product roadmap
  • Customer & Field Impact: Help analyze performance traces and reproduce customer issues, and assist in translating findings into fixes.


Minimum Qualifications

  • 6+ years of experience in systems programming in C/C++ on Linux; Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). Master's or Doctorate a plus. 
  • Hands-on experience with HPC middleware internals (Open MPI, MPICH, MVAPICH, and/or SHMEM) or optimizing collective communications for AI, including NCCL/RCCL, CUDA/ROCm) and/or other CCL stacks. 
  • Demonstrated ability to deliver low-latency/high-throughput communication paths and to diagnose performance issues using profiling/tracing tools.
  • Working knowledge of transport/integration layers such as OFI/libfabric, UCX, verbs-style concepts. 
  • Solid background in RDMA concepts and performance tuning. 
  • Experience contributing to open-source projects. 


Preferred Qualifications

  • Prior experience developing or maintaining libfabric providers. 
  • Familiarity with Ultra Ethernet (UEC/UET) specifications. 
  • Experience with RoCEv2, congestion control, and/or Ethernet-based RDMA deployments. 
  • Experience with cluster-scale benchmarking, profiling, and optimization. 
  • Background with HPC fabrics, such as Omni-Path. 


Location: This is a remote position for employees residing within the United States.


We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.


At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives. 

In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.


Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.