ZipRecruiter

Log In

2

Remote High Performance Computing Jobs in Texas (NOW HIRING)

Nvidia

Senior High Performance AI Engineer, Agentic AI

Austin, TX · On-site +1

$121K - $160K/yr

... computing stack. This includes advancing model and agent capabilities, building scalable agent ... high-performance computing, or related areas. * Hands-on experience in one or more of the following ...

New

YO AI Labs

CUDA Developer - Remote

Austin, TX · Remote

$60 - $100/hr

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

YO AI Labs

CUDA Developer - Remote

Houston, TX · Remote

$60 - $100/hr

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

YO AI Labs

CUDA Developer - Remote

Dallas, TX · Remote

$60 - $100/hr

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

YO AI Labs

CUDA Software Engineer - Remote

Austin, TX · Remote

$60 - $100/hr

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

YO AI Labs

CUDA Software Engineer - Remote

Dallas, TX · Remote

$60 - $100/hr

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

YO AI Labs

CUDA Engineering Expert - Remote

Houston, TX · Remote

$60 - $100/hr

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

YO AI Labs

CUDA Engineering Expert - Remote

Dallas, TX · Remote

$60 - $100/hr

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

YO AI Labs

CUDA Engineering Expert - Remote

Austin, TX · Remote

$60 - $100/hr

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

YO AI Labs

CUDA Software Engineer - Remote

Houston, TX · Remote

$60 - $100/hr

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

Integra

Director Electrical Engineering

Dallas, TX · On-site +1

... Remote Power Panels (RPPs), busway systems, rack-level electrical distribution, grounding and ... high-performance computing (HPC) systems, large-scale cloud operations, high-density server ...

next page

Showing results 1-20

All JobsHigh Performance Computing JobsRemote High Performance Computing JobsRemote High Performance Computing Jobs in Texas

Remote High Performance Computing information

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 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 are the key skills and qualifications needed to thrive as a remote high performance computing 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 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 most commonly searched types of High Performance Computing jobs in Texas?

The most popular types of High Performance Computing jobs in Texas are:

What are popular job titles related to Remote High Performance Computing jobs in Texas?

For Remote High Performance Computing jobs in Texas, the most frequently searched job titles are:

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:

Remote High Performance Computing jobs near you
Infographic showing various Remote High Performance Computing job openings in Texas as of September 2026, with employment types broken down into 72% Full Time, 19% Part Time, and 9% Contract. Highlights an 100% Remote job distribution.

Senior High Performance AI Engineer, Agentic AI

Austin, TX • On-site, Remote

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$121K - $160K/yr

Full-time

Posted 3 days ago

New

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

We are looking for outstanding Senior High Performance AI Engineers to build the next generation of agentic AI systems for the CUDA ecosystem. Our team works across the full agentic AI stack-from training and improving models, to designing agent architectures and multi-agent systems, to building the systems, runtimes, and evaluation frameworks that make them effective at scale. You will help develop intelligent agentic systems that can reason about, generate, optimize, and operate across NVIDIA's accelerated computing stack.

This includes advancing model and agent capabilities, building scalable agent systems and runtimes, developing high-fidelity training and evaluation environments, and co-designing with NVIDIA's libraries, runtimes, compilers, and hardware. You will collaborate closely with internal NVIDIA software, model, and hardware teams to bring new capabilities into NVIDIA products. What you'll be doing: Design, build, and optimize agentic AI systems for the CUDA ecosystem, including agent architectures, multi-agent workflows, tool use, memory, and orchestration.

Build the data, environments, verification, reward, and evaluation systems needed to continuously improve model and agent capabilities. Co-design and optimize agentic systems across NVIDIA's software and hardware stack, from models and inference through compilers, runtimes, libraries, kernels, and GPUs. What we need to see: Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience; MS or PhD preferred.

4+ years of relevant industry or academic experience in AI systems, machine learning, compilers, high-performance computing, or related areas. Hands-on experience in one or more of the following: agent systems, coding agents, reinforcement learning, or modern AI inference systems. Strong C/C++, Rust, and Python programming skills, with solid software engineering fundamentals.

Experience with GPU programming and performance optimization using CUDA or comparable accelerator platforms, and the ability to work effectively across system boundaries. Ways To Stand Out From The Crowd: Track record of building high-impact coding agents, autonomous software-engineering systems, or developer tools. Hands-on experience optimizing and deploying with TRT-LLM, SGLang, vLLM, or Transformer Engine.

Deep expertise in GPU systems and performance optimization, demonstrated through benchmark results, deployed systems, publications, or widely used software. Publications or open-source leadership in deep learning, agentic AI, reinforcement learning, compilers, high-performance computing, or AI systems. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers.

We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 15, 2026. This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

View All Nvidia Jobs

Apply