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Remote High Performance Computing Jobs in Texas (NOW HIRING)

Sr Apps Engr

Austin, TX ยท On-site +1

$103K - $142K/yr

... high-performance computing and automotive tier-1 customer designs. In this role, you will own the ... Provide on-site and remote technical support to internal and external teams, conducting root-cause ...

Sr Apps Engr

Austin, TX ยท On-site +1

$103K - $142K/yr

... high-performance computing and automotive tier-1 customer designs. In this role, you will own the ... Provide on-site and remote technical support to internal and external teams, conducting root-cause ...

Senior Kubernetes Platform Engineer

Austin, TX ยท On-site +1

$121K - $160K/yr

... fully remote roles. Cornelis Networks is seeking a talented and experienced Senior Software ... Experience with high-performance computing (HPC) or high-performance networking. * Familiarity with ...

$23/hr

Remote * Salary: $23.00 per hour Internship Outcomes: Individuals participating in the internship ... Experience working with cloud computing and/or high-performance computing environments (e.g., AWS ...

New

... high-performance computing at customer sites and in the lab. You will work directly with customers, and various business functions: consulting pre-sales teams on technical sales activities ...

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Showing results 1-20

Remote High Performance Computing information

What is the difference between Remote High Performance Computing vs Remote Data Scientist?

AspectRemote High Performance ComputingRemote Data Scientist
Required CredentialsAdvanced degrees in Computer Science, Engineering, or related fields; experience with HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; proficiency in programming languages
Work EnvironmentAccess to supercomputers, clusters, or cloud HPC resources; collaborative teamsData analysis environments, cloud platforms, and programming tools; often collaborative
Industry UsageResearch institutions, scientific computing, engineering simulationsTech companies, finance, healthcare, research

Remote High Performance Computing specialists focus on managing and utilizing supercomputing resources for complex simulations and data processing. Remote Data Scientists analyze large datasets to extract insights. While both roles require programming skills and advanced degrees, HPC roles emphasize system management and computational efficiency, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Remote High Performance Computing (HPC) Specialist, and why are they important?

To thrive as a Remote High Performance Computing (HPC) Specialist, you need expertise in parallel computing, cluster management, and strong programming skills in languages such as Python, C/C++, or Fortran, often backed by a degree in computer science or a related field. Familiarity with HPC job schedulers (like SLURM or PBS), cloud platforms, and Linux-based systems, as well as relevant certifications, is highly valuable. Strong problem-solving abilities, effective communication, and the capacity to work independently are crucial soft skills in remote environments. These competencies ensure efficient deployment, management, and troubleshooting of complex HPC resources while supporting diverse user needs from a distance.

What is Remote High Performance Computing?

Remote High Performance Computing (HPC) refers to the use of powerful computing resources and clusters that are accessed over the internet or a network, rather than being located locally. This setup allows researchers, engineers, and organizations to perform complex computations, simulations, and data analysis from anywhere, without the need for on-site supercomputers. Remote HPC enables scalability, flexibility, and cost-effectiveness by allowing users to leverage shared resources, often provided by cloud service providers or specialized data centers.

How does a Remote High Performance Computing (HPC) professional typically collaborate with research teams and IT staff?

Remote HPC professionals often work closely with research scientists, data analysts, and IT administrators to ensure computational resources are efficiently allocated and optimized for large-scale projects. Collaboration usually happens through virtual meetings, ticketing systems, and shared documentation platforms, requiring strong communication and problem-solving skills. Daily tasks may involve troubleshooting user issues, managing job scheduling, and maintaining cluster performance, all while coordinating with geographically dispersed teams. This dynamic environment fosters continuous learning and exposure to cutting-edge scientific and technical applications.
What job categories do people searching Remote High Performance Computing jobs in Texas look for? The top searched job categories for Remote High Performance Computing jobs in Texas are:
What cities in Texas are hiring for Remote High Performance Computing jobs? Cities in Texas with the most Remote High Performance Computing job openings:
Infographic showing various Remote High Performance Computing job openings in Texas as of July 2026, with employment types broken down into 2% Locum Tenens, 87% Full Time, 9% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior GenAI & High Performance Computing (HPC) Delivery Engineer

Senior GenAI & High Performance Computing (HPC) Delivery Engineer

Dell, Inc.

Round Rock, TX โ€ข On-site, Remote

$145K - $199K/yr

Full-time

Posted 20 days ago


Job description

Senior GenAI & High Performance Computing (HPC) Delivery Engineer

Dell Technologies has delivered HPC solutions for 25+ years, including support for Bright Cluster Manager (now NVIDIA BCM) since 2011. Today, Dell is NVIDIA's preferred partner for GenAI Factory systems, using Dell GenAI PowerEdge XE servers and NVIDIA NVAIE to help customers build and scale end to end GenAI and High-Performance Computing environments.

Join us to do the best work of your career and make a profound social impact as a Senior GenAI & High Performance Computing (HPC) Delivery Engineer on our Service Delivery Team in Austin, Texas or Remote United States. ย 50-70 % National Travel.

What you'll achieve

We're seeking a Senior GenAI & HPC Engineer with deep experience in GPU accelerated systems, Linux performance tuning, and benchmarking. This role is highly hands on and customer facing, supporting onsite deployments across the U.S. for advanced HPC and GenAI solutions.

You will work as a part of a team to help build, integrate, and test some of the world's largest multi GPU systems, benchmark them using industry standard tools, and deliver the next generations of AI and HPC infrastructure.

You will:

Deploy, configure, and validate GPU accelerated compute clusters for AI, ML, and HPC with NVIDIA Base Command Manager (Warewulf and OpenHPC knowledge are a plus)

Perform benchmarking with HPL GPU, HPL MxP, STREAM, NCCL, RCCL, OSU Microbenchmarks, and related tools

Produce as-built documentation, performance reports, and share best practices amongst the team.

Configure and secure RHEL, Ubuntu, Rocky for GenAI or HPC workloads

Work directly with customers onsite (travel both regionally and across the U.S.)

Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:

Essential Requirements

7+ years with HPC or GenAI clusters, GPU based systems, AI infrastructure, or related fields

Deep hands on experience with GPU deployment, configuration, and multi-node testing using NVIDIA Base Command Manager

Proficiency with benchmarking tools: HPL, STREAM, NCCL, RCCL, MxP, OSU Microbenchmarks

Red Hat certification (RHCSA/RHCE) or 7+ years of relevant RH distros experience

Experience with GenAI/HPC networking (InfiniBand and/or RoCE)

Experience working in Linux based parallel computing environments at scale

Experience with containers/orchestration (Docker, Singularity/Apptainer, Kubernetes, Slurm)

Ability to travel up to 70% of the time across the U.S. as needed for projects

Strong customer facing and communication skills

Desirable Requirements

Bachelor's degree

NVIDIA certifications (NCA, NCE, DGX)

Experience with NVIDIA UFM, Infiniband, and SpectrumX fabrics

Exposure to hybrid cloud or GPU cloud environments

Experience with GPU observability/performance profiling tools

Compensation
Dell is committed to fair and equitable compensation practices. The salary range for this position is $145,000 to $199,100.
Benefits and Perks of working at Dell Technologies
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com

Who We Are

We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy.

Visit our Culture Codeย page to learn more about how we work and lead.


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About DELL

Sourced by ZipRecruiter

Dell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. We're proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Round Rock, TX, US

Year founded

1984