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Remote Hpc System Engineer Jobs in Texas (NOW HIRING)

NextSilicon

Staff HPC Applications Engineer

Austin, TX · On-site +1

... Remote considered for exceptional candidates. As part of a software-defined hardware company, you ... that run at rack or system scale * High level of proficiency in one of C/C++/Fortran and ...

BitDeer

Staff Slurm Cluster & HPC Engineer

Austin, TX · On-site +1

$180K - $260K/yr

Qualifications * 8+ years in HPC, systems, or cloud infrastructure engineering, including 4+ years operating production Slurm clusters at 100+ GPU-node scale with real users and service-level ...

MWResource, Inc.

Power System Engineer

Taylor, TX · Remote

$42.30 - $59.15/hr

Power System Engineer REMOTE - CANDIDATE MUST LIVE AND WORK FROM THE UNITED STATES Taylor, TX Duration: 12 months JOB PURPOSE Provides engineering analysis and technical support to ensure the ...

MWResource, Inc.

Power System Engineer

Taylor, TX · On-site +1

$42.30 - $59.15/hr

Power System Engineer REMOTE - CANDIDATE MUST LIVE AND WORK FROM THE UNITED STATES Taylor, TX Duration: 12 months JOB PURPOSE Provides engineering analysis and technical support to ensure the ...

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Remote Hpc System Engineer information

What is a remote HPC system engineer?

Remote HPC (High Performance Computing) System Engineers are IT professionals who design, implement, manage, and troubleshoot HPC systems and clusters from a remote location. They work with advanced computing infrastructure that supports scientific research, complex simulations, and large-scale data processing. Their responsibilities include configuring hardware and software, monitoring system performance, ensuring security, and providing technical support to users, all while working off-site. This role requires strong expertise in HPC technologies, operating systems like Linux, networking, and scripting, as well as effective communication skills for collaborating with distributed teams.

What are the key skills and qualifications needed to thrive as a remote HPC system engineer?

To thrive as a Remote HPC System Engineer, you need expertise in Linux system administration, parallel computing, networking, and a degree in computer science or related field. Familiarity with job schedulers (like Slurm), cluster management tools, scripting languages (such as Python or Bash), and certifications like CompTIA Linux+ or Red Hat Certified Engineer are highly valuable. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These skills ensure the reliable operation, optimization, and scalability of HPC systems in distributed environments.

What are some common challenges faced by remote HPC system engineers, and how can they be managed effectively?

Remote HPC System Engineers often encounter challenges such as troubleshooting complex hardware or software issues without physical access, ensuring seamless system performance, and coordinating with geographically dispersed teams. These can be managed by leveraging strong remote monitoring tools, maintaining clear documentation, and establishing effective communication channels with on-site staff. Proactively scheduling regular system health checks and participating in virtual team meetings can also help address problems quickly and maintain high system reliability.

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

AspectRemote Hpc System EngineerRemote Cloud Infrastructure Engineer
CredentialsTypically requires Linux certifications, HPC-specific trainingOften requires cloud platform certifications (AWS, Azure, GCP)
Work EnvironmentHigh-performance computing clusters, research labsCloud platforms, data centers, virtualized environments
Industry UsageResearch, scientific computing, academiaTech, finance, enterprise IT
Search/Comparison IntentUnderstanding HPC-specific roles vs cloud rolesComparing on-premise HPC vs cloud infrastructure

The Remote Hpc System Engineer focuses on managing and optimizing high-performance computing clusters, often in research or scientific environments. In contrast, the Remote Cloud Infrastructure Engineer specializes in designing and maintaining cloud-based infrastructure across various industries. While both roles require technical expertise in system management, their environments and certifications differ, catering to distinct operational needs.

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

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

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

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

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

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

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

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

Remote Hpc System Engineer jobs near you
Infographic showing various Remote Hpc System Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

HPC Customer Solutions Engineer

NextSilicon

Austin, TX • On-site, Remote

Full-time

Re-posted 3 days ago

Key responsibilities

  • Provide hands-on support to customers in resolving technical issues for scientific HPC applications

  • Identify, troubleshoot, and reproduce client-facing bugs and runtime errors to ensure timely resolution

  • Drive new software features through direct customer engagement and support the development of user documentation

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

Apply