1

Intern High Performance Computing Engineer Jobs in Austin, TX

As a Senior HPC Storage Engineer, you will lead the research, design, and implementation of innovative storage solutions for high performance computing workloads, while collaborating with teams to ...

... high-performance computing (HPC), cloud service providers (CSP), gaming, virtual reality, and ... What we need to see: * BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or ...

Description NextSilicon is reimagining high-performance computing. Our accelerated compute ... We are looking for an experienced HPC and AI application field support engineer to join our pre ...

NextSilicon is reimagining high-performance computing. Our accelerated compute solutions leverage ... We are looking for an experienced HPC and AI application field support engineer to join our pre ...

NextSilicon is reimagining high-performance computing. Our accelerated compute solutions leverage ... Join our customer success team as an HPC Customer Solutions Engineer . We are seeking a highly ...

Senior AI Frameworks Engineer

Austin, TX

$121K - $160K/yr

NVIDIA's high-performance computing platforms are powering the AI revolution across many ... Optimize developer experience by creating debugging tools, profiler integrations, and validation ...

Showing results 41-60

Intern High Performance Computing Engineer information

See Austin, TX salary details

$8

$16

$24

How much do intern high performance computing engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for intern high performance computing engineer in Austin, TX is $16.89, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $19.04 per hour, depending on experience, location, and employer.

What are the most commonly searched types of High Performance Computing Engineer jobs in Austin, TX?

The most popular types of High Performance Computing Engineer jobs in Austin, TX are:

What are popular job titles related to Intern High Performance Computing Engineer jobs in Austin, TX?

For Intern High Performance Computing Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Intern High Performance Computing Engineer jobs in Austin, TX look for?

The top searched job categories for Intern High Performance Computing Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Intern High Performance Computing Engineer jobs?

Cities near Austin, TX with the most Intern High Performance Computing Engineer job openings:

Senior HPC Storage Engineer

NVIDIA

Austin, TX • On-site

Full-time

Re-posted 29 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


Job description

Job Summary:
NVIDIA has been transforming computer graphics and accelerated computing for over 25 years, now focusing on AI to define the next era of computing. As a Senior HPC Storage Engineer, you will lead the research, design, and implementation of innovative storage solutions for high performance computing workloads, while collaborating with teams to optimize infrastructure performance and resource utilization.
Responsibilities:
• Research and analyze existing internal distributed storage services.
• Research, design, and implement scalable, next-gen distributed storage services for HPC workloads, optimizing both performance and cost-effectiveness to meet NVIDIA’s growing infrastructure needs
• Develop tooling to automate management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources.
• Detail the general procedures and practices, perform technology evaluations, related to distributed file systems.
• Collaborate across teams to better understand developers' workflows and capture their infrastructure requirements.
• Influence and guide methodologies for building, testing, and deploying applications to ensure efficient performance and resource utilization.
• Supporting our researchers to run their flows on our clusters including performance analysis and optimizations of deep learning workflows
• Root cause analysis and suggest corrective action for problems large and small scales
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience.
• 8+ years of experience designing and/or operating large scale storage infrastructure.
• Experience analyzing and tuning storage performance for a variety of workloads.
• Proficient in Centos/RHEL and/or Ubuntu Linux distros including Python programming and bash scripting
• In depth understanding of container technologies like Docker, Enroot
Preferred:
• Extensive experience with parallel and distributed filesystems (Ceph, Weka.io, Vast, Lustre, GPFS) and Linux storage kernel development.
• Proficient with NVIDIA GPUs, CUDA programming, and NCCL, including performance benchmarking via MLPerf.
• Deep familiarity with storage hardware (HDDs, SSDs, NVMe), enclosures, and specialized appliances like Network Appliance.
• Strong background in Software Defined Networking (SDN) and high-performance networking for AI/HPC clusters.
• Practical experience applying industry-standard frameworks, specifically PyTorch and TensorFlow.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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

Year founded

1993