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Internship High Performance Computing Engineer Jobs in Texas

Intel

Senior Out-of-Order CPU Architect

Austin, TX

$165K/yr

... high-performance computing and low-power products. This role is integral to Intel's mission to ... Silicon and Platform Engineering Group (SPE): Deliver breakthrough silicon and platform solutions ...

Baylor Genetics

Sr HPC Engineer

Houston, TX · On-site

$96K - $132K/yr

JOB SUMMARY We are seeking a Senior HPC Engineer with deep hands-on experience in high-performance computing (HPC), hybrid cloud infrastructure, and large-scale genomic data platforms. This role will ...

Nvidia

Senior CPU Performance Architect

Austin, TX

$165K/yr

... 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 ...

Nvidia

Senior CPU Performance Architect

Austin, TX

$165K/yr

... 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 ...

Sabre Systems LLC

HPC Engineer

Dallas, TX · On-site

As an HPC Engineer, you will design, optimize, and maintain advanced high-performance computing environments that power large-scale data processing, simulation, and research operation. Your ...

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Internship High Performance Computing Engineer information

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.
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Internship High Performance Computing Engineer jobs near you

CPU Core Performance Verification Intern - CPU/AI Hardware

Tenstorrent University Jobs

Austin, TX • On-site

$50 - $70/hr

Full-time, Internship

Posted 5 days ago

Job description

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
Join the team building high-performance RISC-V CPU cores at Tenstorrent. As a Performance Verification Intern, you will work alongside CPU architects, micro-architects, and performance engineers to ensure our designs meet real-world performance demands. This is a hands-on role that spans simulation, emulation, debug, and analysis.
This role is on-site, full-time (40 hours/week) in Santa Clara, CA or Austin, TX.
Who You Are
  • Pursuing a BS, MS, or PhD in EE, ECE, CE, or CS with strong academic performance.
  • Experienced with assembly, C/C++, and scripting in Python or Perl.
  • Familiar with CPU architecture and performance concepts, including pipelines, memory systems, and branch prediction.
  • Comfortable working through complex debug problems in a methodical, detail-oriented way.
What We Need
  • Interns who can create performance test plans and write stimulus to stress real CPU scenarios.
  • Engineers who can run simulations and emulations to validate performance metrics.
  • Contributors who can bring up and debug workloads ranging from open-source benchmarks to industry-standard suites.
  • Teammates who can investigate mismatches between RTL and performance models and help root-cause bottlenecks.
What You Will Learn
  • How CPU performance is measured, validated, and optimized before silicon.
  • How performance models, RTL implementations, and debug tools come together in a real chip development workflow.
  • Techniques for balancing tradeoffs in microarchitecture to hit performance targets.
  • What it takes to collaborate across architecture, design, and post-silicon teams in a high-performance CPU project.

Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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