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Internship High Performance Computing Engineer Jobs in Austin, TX

Tenstorrent

Staff Engineer, Physical Design

Austin, TX · On-site

$100K - $500K/yr

Direct impact on products that are redefining the landscape of AI and high-performance computing. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable ...

Nvidia

Senior Architect, Data Center Modeling

Austin, TX · On-site

$66.75 - $89.25/hr

... high-performance computing and AI technologies. What we need to see: * Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience ...

Intel

Server CPU SoC Architect

Austin, TX · On-site

$165K/yr

... high-performance computing to low-power Edge products. You will evaluate feasibility tradeoffs ... Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related ...

New

Renesas Electronics

Applications Engineer

Austin, TX

As an Application Engineer for the Renesas Performance Computing Power Application Engineering team ... High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse ...

Introl

Data Center Technician

Austin, TX · On-site

$30 - $36/hr

... high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers operates globally, tackling the ...

Renesas Electronics

Applications Engineer

Austin, TX · On-site

As an Application Engineer for the Renesas Performance Computing Power Application Engineering team ... High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse ...

Renesas Electronics

Applications Engineer

Austin, TX

As an Application Engineer for the Renesas Performance Computing Power Application Engineering team ... High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse ...

Tenstorrent

Physical Design Engineer

Austin, TX · On-site

$100K - $500K/yr

Direct impact on products that are redefining the landscape of AI and high-performance computing. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable ...

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All JobsHigh Performance Computing Engineer JobsInternship High Performance Computing Engineer JobsInternship High Performance Computing Engineer Jobs in Austin, TX

Internship High Performance Computing Engineer information

See Austin, TX salary details

$10

$59

$97

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

As of Jul 29, 2026, the average hourly pay for internship high performance computing engineer in Austin, TX is $59.58, according to ZipRecruiter salary data. Most workers in this role earn between $48.85 and $67.45 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship High Performance Computing (HPC) Engineer, and why are they important?

To thrive as an Internship High Performance Computing Engineer, you need a solid background in computer science fundamentals, programming (especially in C/C++ or Python), and a familiarity with parallel computing concepts, often supported by coursework or relevant project experience. Experience with Linux environments, HPC clusters, and distributed computing frameworks, as well as tools like MPI, OpenMP, or Slurm, is commonly required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively within technical teams help interns stand out. These skills ensure you can efficiently support computational research, resolve technical challenges, and contribute meaningfully to HPC projects.

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

AspectInternship High Performance Computing EngineerInternship Data Scientist
Required SkillsProgramming (C++, Python), parallel computing, HPC systemsStatistics, machine learning, data analysis, Python/R
Work EnvironmentResearch labs, tech companies, academia with focus on HPC systemsTech firms, finance, healthcare, research institutions
Industry UsageHigh-performance computing projects, scientific simulationsData analysis, predictive modeling, business insights

Internship High Performance Computing Engineers focus on developing and optimizing computational systems for large-scale scientific and engineering problems, requiring skills in parallel programming and HPC environments. In contrast, Internship Data Scientists analyze data to extract insights, using statistical and machine learning techniques. Both roles are valuable in tech and research sectors but differ in technical focus and daily tasks.

What is an Internship High Performance Computing Engineer?

An Internship High Performance Computing (HPC) Engineer is a student or early-career professional who works with advanced computing systems designed for processing large data sets and complex calculations at high speeds. During the internship, they assist in developing, optimizing, and maintaining HPC infrastructure, software, or applications used in scientific research, engineering, or data analysis. The role often involves learning about parallel computing, cluster management, and performance tuning, while gaining hands-on experience with cutting-edge technologies. Interns work under the supervision of experienced HPC engineers, contributing to projects that advance computational capabilities in various fields.

What types of projects can I expect to work on as an Internship High Performance Computing Engineer?

As an Internship High Performance Computing (HPC) Engineer, you will typically contribute to projects involving optimization of scientific applications, performance analysis, and cluster management. Interns often assist with benchmarking software, troubleshooting issues in parallel computing environments, and supporting researchers with technical solutions. You'll likely collaborate closely with senior HPC engineers, system administrators, and academic researchers to ensure efficient use of computing resources. This hands-on experience provides valuable insight into real-world challenges faced in HPC environments and helps build a strong foundation for future roles in the field.
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 Internship High Performance Computing Engineer jobs in Austin, TX? For Internship High Performance Computing Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Internship High Performance Computing Engineer jobs in Austin, TX look for? The top searched job categories for Internship High Performance Computing Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Internship High Performance Computing Engineer jobs? Cities near Austin, TX with the most Internship High Performance Computing Engineer job openings:
Internship High Performance Computing Engineer jobs near you
Infographic showing various Internship High Performance Computing Engineer job openings in Austin, TX as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $123,920 per year, or $59.6 per hour.

AI/HPC Cluster Design Engineer

Advanced Micro Devices, Inc

Austin, TX • On-site

$116K/yr

Full-time

Posted 9 days ago

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

27th of 156 rated electronics manufacturers

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we're looking for talent who feel the same: people who want to leave the planet better than they found it, those who don't shy away from humanity's challenges but are determined to help solve them.
AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger - technology that moves the world forward.
THE ROLE
We are seeking an experienced AI systems engineer to design scalable AI/HPC clusters with specific focus on compliance with customer and/or design requirements. This role involves reviewing and selecting compute, storage, networking, and power delivery components and solutions to optimize performance and reliability across global deployments. You will collaborate with cross-functional teams to deliver cutting-edge infrastructure for AI and high-performance computing workloads.
THE PERSON
An experienced systems engineer with a strong background in HPC, AI systems, and cluster engineering. You bring deep technical knowledge of compute, power, and networking components, a strategic mindset for system-level design, and the ability to collaborate across diverse technical domains. You thrive in fast-paced environments and are passionate about building efficient, scalable, and reliable compute platforms.
Key Responsibilities:
System Architecture & Design
  • Design scalable AI/HPC clusters including compute, storage, and networking
  • Evaluate and select CPUs, GPUs, accelerators, interconnects, and memory configurations for optimal cluster performance.

Network
  • Design network topologies to maximize overall cluster performance
  • Understand the network performance needs of different types of workloads
  • Understand advantages and performance trade-offs of network topologies for AI/HPC clusters

Storage
  • Design and optimize storage solutions to maximize AI/HPC cluster performance
  • Understand advantages and performance trade-offs of cluster storage solutions, e.g. Lustre, Ceph, etc.

Collaboration
  • Work across multiple organizations with subject matter experts from hardware, software, network, data center, and operations teams to deliver scalable, efficient, and reliable compute infrastructure.
  • Experience in HPC, AI systems/clusters, or data center engineering.
  • Strong understanding of rack and cluster design
  • Knowledge of GPU/CPU architectures, PCIe, UALink, InfiniBand, and Ethernet networking.
  • Familiarity with AI/ML frameworks and workload characteristics.
  • Excellent problem-solving, communication, and documentation skills.

Preferred Qualifications:
  • Experience in HPC, AI infrastructure, or data center systems engineering.
  • Experience designing power delivery solutions for racks and data centers
  • Contributions to open-source HPC or AI infrastructure projects.

Academic Credentials
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science or related field.
This role is not eligible for Visa Sponsorship
#LI-KW1
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

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