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Remote Hpc Engineer Jobs in Texas (NOW HIRING)

NextSilicon

Staff HPC Applications Engineer

Austin, TX · On-site +1

... 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 ...

NextSilicon

HPC Field Applications Engineer

Austin, TX · On-site +1

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 ...

YO AI Labs

GPU Programmer - Remote

Houston, TX · 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 Programmer - Remote

Austin, TX · 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 Programmer - Remote

Dallas, TX · 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

Austin, TX · 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 ...

YO AI Labs

GPU Programming Expert - Remote

Houston, TX · 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 ...

YO AI Labs

GPU Programming Expert - Remote

Dallas, TX · 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 ...

Cornelis Networks

Senior Software Engineer - SAI/SDK

Austin, TX · On-site +1

$121K - $160K/yr

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

Cornelis Networks

AI Platform Engineer

Austin, TX · On-site +1

Our solutions help customers push the boundaries of AI and HPC byeliminatingbottlenecks and ... and remote roles. Cornelis Networks is seeking anAI Platform Engineerto help shape how our ...

Cornelis Networks

System Validation Manager

Austin, TX · On-site +1

Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the ... engineering environment. Location:This is a remote position for employees residing within the ...

Integra

Director Electrical Engineering

Dallas, TX · On-site +1

... Remote Power Panels (RPPs), busway systems, rack-level electrical distribution, grounding and ... Professional Engineer (PE) License. * Certified Energy Manager (CEM). * Data Center Certified ...

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Remote Hpc Engineer information

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.

What are the most commonly searched types of Hpc Engineer jobs in Texas?

The most popular types of Hpc Engineer jobs in Texas are:

What are popular job titles related to Remote Hpc Engineer jobs in Texas?

For Remote Hpc Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Hpc Engineer jobs in Texas look for?

The top searched job categories for Remote Hpc Engineer jobs in Texas are:

What cities in Texas are hiring for Remote Hpc Engineer jobs?

Cities in Texas with the most Remote Hpc Engineer job openings:

Remote Hpc Engineer jobs near you
Infographic showing various Remote Hpc Engineer job openings in Texas as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

HPC Customer Solutions Engineer

Austin, TX • On-site, Remote

NextSilicon
See more jobs at NextSiliconexternal

Full-time

Posted 21 days ago

Job description

Description
NextSilicon is reimagining high-performance computing. Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation. Our new software-defined hardware architecture enables HPC to fulfill its promise of breakthroughs in all fields of advanced research.
At NextSilicon, everything we do is guided by three core values:
  • Professionalism: We strive for exceptional results through professionalism and unwavering dedication to quality and performance.
  • Unity: Collaboration is key to success. That's why we foster a work environment where every employee can feel valued and heard.
  • Impact: We're passionate about developing technologies that make a meaningful impact on industries, communities, and individuals worldwide.

Join our customer success team as an HPC Customer Solutions Engineer. We are seeking a highly skilled, customer-centric individual to act as the primary link between our cutting-edge HPC technology and its end-users.
Operating at the forefront of computer science and scientific applications, you will be instrumental in enabling our customers to achieve peak performance in diverse fields such as graph algorithms, sparse computations, weather prediction, and more. As our platform evolves to incorporate next-generation capabilities (including AI/ML), you will be a key resource in supporting these emerging technologies. You will not only directly support users but actively drive the usability and feature development of our platform by collaborating closely with our product and software engineering teams. If you are passionate about science and technology, thrive in a customer-facing role, and want to shape the future of high-performance computing, we want to hear from you.
We currently have 2 open requisitions for this Customer Solutions Engineer role.
Location: Hybrid in either our Austin, TX or Minneapolis, MN offices preferred but Remote considered for exceptional candidates.
Requirements
  • Master's or higher degree in computer science, engineering, physics, or a related field; candidates may be considered if they have relevant experience in lieu of an advanced degree
  • Proficiency in C, C++, and/or Fortran programming languages
  • Working understanding of standards-based parallel programming models and languages such as MPI, OpenMP, CUDA, or OpenACC
  • Familiarity with HPC software stack components including LLVM compilers and toolchains, libraries, schedulers, and job submission systems (e.g., SLURM or PBS)
  • Experience with Linux/Unix operating systems and command-line tools for system navigation, administration, and troubleshooting
  • Knowledge of performance optimization techniques for parallel computing, including code profiling, tuning, and scaling
  • Exceptional written communication skills with a proven ability to produce clear, concise, and technically accurate documentation
  • Strong verbal communication for effective customer engagement and internal advocacy
  • Results-driven and relentless, with a bias toward creative solutions and a no-excuses approach to delivering outcomes
  • US citizenship with eligibility to visit US government research facilities strongly preferred

Desirable technical skills
  • Familiarity with Python and its relevant data science libraries (e.g., NumPy, Pandas)
  • Familiarity with key AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX, vLLM and llama.cpp) and/or working knowledge of optimizing, profiling and debugging AI/ML workloads on parallel architectures (e.g., GPU acceleration, distributed training)
  • Packaging, compiling, troubleshooting, running open-weight models
  • Working with or in a neocloud/hyperscaler provider

Responsibilities
  • Provide hands-on support, assisting customers in resolving technical issues for scientific HPC applications
  • Identify, troubleshoot, and reproduce resolving client-facing bugs and runtime errors, ensuring timely resolution and customer satisfaction
  • Drive new software features through direct customer engagement, and resolve client-facing issues.
  • Maintain up-to-date knowledge of key software features and communicate effectively with customers to provide guidance and support
  • Act as a liaison between internal teams, end-users, and relevant stakeholders to advocate for and fulfill customer needs, translating technical requirements into software features
  • Contribute to the development and upkeep of user documentation and support knowledge base
  • Profile and identify bottlenecks in a diverse range of HPC applications across various architectures

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