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Remote Hpc Engineer Jobs (NOW HIRING)

VDURA

Systems Engineer, Platform

Pittsburgh, PA · On-site +1

VDURA is redefining high-performance data infrastructure for AI, HPC, and data-intensive workloads ... However, we are open to remote candidates who meet the qualifications and can work effectively from ...

VDURA

Systems Engineer, Platform

Niwot, CO · On-site +1

VDURA is redefining high-performance data infrastructure for AI, HPC, and data-intensive workloads ... However, we are open to remote candidates who meet the qualifications and can work effectively from ...

VDURA

Systems Engineer, Platform

Pittsburgh, PA · On-site +1

VDURA is redefining high-performance data infrastructure for AI, HPC, and data-intensive workloads ... However, we are open to remote candidates who meet the qualifications and can work effectively from ...

VDURA

Systems Engineer, Platform

Longmont, CO · On-site +1

VDURA is redefining high-performance data infrastructure for AI, HPC, and data-intensive workloads ... However, we are open to remote candidates who meet the qualifications and can work effectively from ...

Cornelis Networks

Senior Firmware Security Engineer

Austin, TX · On-site +1

$118K - $156K/yr

At Cornelis we're building the future of AI and HPC networking with an AI-first approach to silicon ... Location:This is a remote position for employees residing within the United States. We offer a ...

Nastech Global

AI Infra SRE Engineer

San Jose, CA · Remote

$58.25 - $77.50/hr

Remote Duration: Fulltime Must-have * NVIDIA (DGX) or equivalent high-performance-compute (HPC) clusters (e.g. Cray, HPE, IBM) * Cisco UCS C885A * Docker Good to have * DevOps Automation * CI/CD ...

Vultr

Strategic Technical Account Manager GPU

$115K - $140K/yr

... remote office setup in first year + $400 each following year Internet reimbursement up to $75 per ... Qualifications * 2-5+ years as an AI/ML Engineer, AI/ML Ops, Technical Account Manager, HPC ...

The Pennsylvania State University

$92K - $152K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Maintain existing HPC systems by ensuring compute node and storage availability to end-users

Addison Group

Sr. Software Engineer

Irving, TX · Remote

$170K - $220K/yr

Cloud Infrastructure, High-Performance Computing (HPC), Software Engineering Location (City, State): Hybrid (3 days onsite, 2 days remote) Assignment Type: Direct Hire Pay: $170,000-$220,000 base ...

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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 Jul 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 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.
More about Remote Hpc Engineer jobs
What cities are hiring for Remote Hpc Engineer jobs? Cities with the most Remote Hpc Engineer job openings:
What are the most commonly searched types of Hpc Engineer jobs? The most popular types of Hpc Engineer jobs are:
What states have the most Remote Hpc Engineer jobs? States with the most job openings for Remote Hpc Engineer jobs include:
What job categories do people searching Remote Hpc Engineer jobs look for? The top searched job categories for Remote Hpc Engineer jobs are:
Remote Hpc Engineer jobs near you
Infographic showing various Remote Hpc Engineer job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

ML Infrastructure Engineer

Bright Vision Technologies

Chandler, AZ • Remote

$100K - $150K/yr

Full-time

Posted 5 days ago

Job description

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
As we continue to grow, we’re looking for a skilled ML Infrastructure Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.Job Title: ML Infrastructure Engineer
Location: 100% Remote (Continental United States)Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
Experience: 6+ years
Salary - $100K - $150K
Employment Terms & Visa Policy
This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.
This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved.
We do not engage in C2C, 1099, or third-party arrangements for this role.
BUT STRICTLY NO C2C/1099. All our roles are W2.
Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.
However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.
For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.
Job Summary
We are seeking an ML Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers, with strong emphasis on reliability, efficiency, and cost control. The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work.
Key Responsibilities
  • Design and operate GPU and accelerator infrastructure for training and inference, spanning on-prem clusters, cloud-managed services, and hybrid configurations.
  • Build scheduling, queueing, and resource-sharing systems that maximize accelerator utilization across many teams.
  • Integrate frameworks such as PyTorch, JAX, DeepSpeed, FSDP, Megatron-LM, and Ray Train into a unified platform offering.
  • Operate high-performance storage systems and data pipelines that keep accelerators fed with training data at near-line-rate.
  • Design networking architectures supporting RDMA, InfiniBand, NCCL, and high-bandwidth collective communication.
  • Build observability for AI workloads including utilization, throughput, training stability, and failure-mode analytics.
  • Implement checkpointing, restart, and fault-tolerance patterns for long-running training jobs at scale.
  • Drive cost optimization across compute, storage, and networking through scheduling, spot capacity, and right-sizing.
  • Develop developer tooling and paved-road workflows that let researchers launch experiments safely and efficiently.
  • Partner with research and applied ML teams to plan capacity for upcoming training runs.
  • Implement security controls, isolation, and access management for multi-tenant AI infrastructure.
  • Drive automation across cluster provisioning, lifecycle management, and configuration enforcement.
  • Maintain runbooks, capacity dashboards, and operational documentation for the AI platform.
  • Stay current with AI infrastructure research, accelerator hardware, and emerging open-source AI tooling.
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of experience in infrastructure, platform, or HPC engineering.
  • Hands-on experience operating GPU clusters or large-scale ML training infrastructure.
  • Strong proficiency in Python and at least one systems language such as Go or C++.
  • Deep understanding of distributed training, accelerator architectures, and collective communication.
  • Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads.
  • Strong understanding of Linux internals, networking, and high-performance storage.
  • Experience with at least one major cloud provider’s ML infrastructure offerings.
  • Strong software engineering practices including testing, CI/CD, and code review.
  • Excellent communication and cross-functional collaboration skills.
Preferred Qualifications
  • Experience operating InfiniBand or RDMA networking at scale.
  • Contributions to open-source ML infrastructure projects.
  • Familiarity with custom orchestrators or research-grade training stacks.
  • Exposure to frontier model training operations.
  • Experience with FinOps for AI workloads.
How to Apply
Would you like to know more about this opportunity?
For immediate consideration, please send your resume to jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.
Position offered by “No Fee Agency.”
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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