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Remote Hpc Engineer Jobs (NOW HIRING)

ThisWay

Distributed Systems Engineer

The work emphasizes systems programming, distributed architecture, fault tolerance, and HPC-grade reliability. Location: Remote - United States Department: Engineering Employment Type: Full-Time, ...

YO AI Labs

GPU Programmer - Remote

New York, NY · Remote

$60 - $85/hr

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

YO AI Labs

GPU Programming Expert - Remote

New York, NY · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

ITR

Infrastructure Platform Engineer

Oak Ridge, TN · On-site +1

$102K - $134K/yr

... remote Overview: The High-Performance Computing Systems Section within a large Research and Development Facility with the Department of Energy is seeking an HPC Infrastructure Platform Engineer to ...

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 ...

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

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 ...

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 ...

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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 Aug 20, 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.

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Cities with the most Remote Hpc Engineer job openings:

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Remote Hpc Engineer jobs near you
Infographic showing various Remote Hpc Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

Staff Technical Product Manager - Electronics AI & HPC Simulation - 18158

Synopsys

Sunnyvale, CA • On-site, Remote

$117K/yr

Full-time

Re-posted 13 days ago

Job description

General Information
Job Title
Staff Technical Product Manager - Electronics AI & HPC Simulation
Job ID
18158
City
Sunnyvale
State/Province
California
Date Posted
08-Jul-2026
Job Category
Product Management
Job Subcategory
Technical Product Management
Hire Type
Employee
Remote Eligible
Yes
Base Salary Range: $117000 - $175000
Descriptions & Requirements
Job Description and Requirements
About the Job
The preferred location of this role is Bay Area (CA)
We Are
At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to AI infrastructure and advanced semiconductor systems. As part of Synopsys, Ansys Electronics delivers industry-leading multiphysics simulation solutions that help customers design high-performance, thermally efficient, and reliable electronic systems. We are looking for a technically strong product leader to help define and deliver how AI, high-performance computing, and platform interoperability transform products such as HFSS, Icepak, and the broader Ansys Electronics Desktop platform into scalable, AI-powered simulation capabilities.
You Are
A technically credible product leader with expertise in simulation, AI/ML, and HPC. You understand advanced electronics workflows and translate engineering needs into scalable product capabilities.
You build shared capabilities, AI-assisted workflows, and HPC-enabled solutions that span products and field use cases. You work closely with R&D to define technical direction, guide implementation, and solve complex workflow and system-level challenges.
You are motivated by solving hard technical problems at scale, including simulation acceleration, intelligent automation, and interoperable platform integrations such as AEDT with NVIDIA Omniverse.
What You'll Be Doing:
  • Define core AI and HPC capabilities and reference implementations across HFSS,Icepak, and AEDT.
  • Prioritize AI use cases such as set up assistance, model generation, solver guidance, design exploration, and automation.
  • Support product and field teams with HPC solution patterns spanning distributed compute, GPU acceleration, orchestration, and cloud deployment.
  • Extend AEDT into broader3rdparty ecosystems, through APIs, interoperable data models, and platform services.
  • Partner with R&D, UX, field teams, and customers to validate priorities and deliver measurable value.

  • Define requirements for AI, multiphysics, and scalable compute capabilities grounded in engineering use cases and feasibility.
    Key Qualifications
  • Bachelor's degree in engineering, computer science, physics, or a related technical field; advanced degree preferred.
  • Strong Python scripting skills, with the ability to automate engineering workflows, develop reusable tools, and work effectively with APIs.
  • Familiarity with HFSS, Icepak, Maxwell, AEDT, or comparable simulation environments.
  • Knowledge of AI-assisted engineering workflows, intelligent automation, or engineering data platforms.
  • Strong understanding of electromagnetic, thermal, multiphysics, or electronics design workflows.
  • Experience with HPC deployment models including multicore, cluster, cloud, and GPU acceleration.

  • Understanding ofAPIs, interoperability, workflow integration, and external technology partnerships.
    The Impact You Will Have
  • You will help shape the future of electronics and AI by driving how simulation evolves for the AI era. Through AI implementation, HPC, and platform integration across Ansys Electronics within Synopsys, you will influence the next generation of technologies powering semiconductors, electronics, intelligent systems, and AI infrastructure.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.
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About Synopsys

Sourced by ZipRecruiter

Synopsys, Inc. (Nasdaq:SNPS) is the Silicon to Software partner for creative companies developing the electronic products and software applications we rely on every single day. As the world's 15th largest software company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and is also growing its leadership in software quality and security solutions. Whether you're a system-on-chip (SoC) designer building advanced semiconductors, or a software developer writing applications that require the highest quality and security, Synopsys has the solutions needed to deliver exceptional, secure products for the era of connected everything. The company is headquartered in Mountain View, California, and has approximately 113 offices located throughout North America, South America, Europe, Japan, Asia and India. Since 1986, Synopsys has been at the heart of accelerating electronics innovation with engineers around the world having used Synopsys technology to successfully design and create billions of chips and systems that are found in the electronics that people rely on every single day.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Mountain View, CA, US

Year founded

1986

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