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Intern High Performance Computing Engineer Jobs in Austin, TX

Senior AI Frameworks Engineer

Austin, TX · On-site

$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 ...

Mechanical Design Engineer

Austin, TX · On-site

$75K - $102K/yr

We engineer simple, well-architected solutions that meet the dynamic needs of our traders. Our ... Design and develop mechanical systems for high-performance computing platforms and custom trading ...

... high-performance computing and power management technologies. If you have deep expertise in Analog ... and product engineering teams ✅ Apply advanced analog design methodologies to optimize ...

New

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 ...

Data Center Technician

Austin, TX · On-site

$22 - $35/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 ...

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 ...

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 ...

Senior HPC Cluster Engineer

Austin, TX · On-site

$103K - $142K/yr

... Engineer. The role involves designing, deploying, and operating GPU Compute Clusters for ... EDA and high-performance computing workloads, ensuring their performance, scalability, and ...

The Staff Compiler Engineer will lead the development of compilers for their novel LLM accelerator ... high-performance computing and low-latency system design • Familiarity with deep learning ...

The Thermal Engineer will design and validate cooling solutions for high-performance computing systems. The role involves simulation, testing, and cross-functional collaboration to ensure thermal ...

Staff 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 ...

Senior Security Engineer

Cedar Park, TX

$107K - $147K/yr

InfiniBand, High Performance Computing Project Support * Collaborate with Project Management team ... Required Qualifications Experience * 10+ years of network engineering experience * 7-10 years of ...

Senior Security Engineer

Cedar Park, TX · On-site

$107K - $147K/yr

InfiniBand, High Performance Computing Project Support * Collaborate with Project Management team ... Required Qualifications Experience * 10+ years of network engineering experience * 7-10 years of ...

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Intern High Performance Computing Engineer information

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

As of Jun 14, 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.
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Senior AI Frameworks Engineer

Senior AI Frameworks Engineer

Nvidia

Austin, TX • On-site

$121K - $160K/yr

Full-time

Posted 9 days ago


Job description

We are now looking for a Senior AI Frameworks Engineer (C++/Python)! NVIDIA's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance math primitives. Since 2017, it has provided the community with C++ template abstractions to implement custom GEMM and related computations efficiently on NVIDIA GPUs.

We are building the next frontier of this ecosystem: Pythonic CUTLASS (CUTLASS DSL). This initiative aims to bring "speed-of-light" performance and powerful abstractions of our stack directly into the Python environment. Join the CUTLASS team and help bridge the gap between low-level hardware primitives and high-level developer productivity. If you are passionate about building elegant, high-performance DSLs and want to empower the next generation of AI researchers and engineers with better tools, apply today!

What you'll be doing:

As a core contributor to the CUTLASS project, you will use your expertise in systems programming and API design to create a world-class developer experience for GPU programming and kernel delivery.

  • Design APIs that prioritize user productivity, providing a "native" feel for developers accustomed to modern scientific computing and deep learning frameworks.

  • Develop robust compilation infrastructure-including AST transformations and JIT-friendly execution-to lower Pythonic descriptions into high-performance GPU machine code.

  • Optimize developer experience by creating debugging tools, profiler integrations, and validation methodologies that make writing and using kernels easy.

  • Build production-grade delivery infrastructure for the open-source community, managing everything from package distribution (wheels, conda) to the user-facing documentation and testing.

What we need to see:

  • MS or PhD degree in Computer Science, Electrical Engineering, or related field (or equivalent experience).

  • At least 3+ years of relevant experience.

  • Strong proficiency in Python and C++, specifically regarding the design of Python extensions and foreign function interfaces (FFI).

  • Experience in library or framework development, with a focus on creating intuitive APIs for complex technical systems.

  • Deep understanding of the Python ecosystem's delivery stack, including building, testing, and distributing high-performance compiled extensions.

Ways to stand out from the crowd:

  • Active maintainer status or significant contributions to high-performance open-source libraries, AI frameworks or compiler projects (LLVM/MLIR).

  • Understanding of compiler foundations, such as intermediate representations (IR), lowering passes, or AST manipulation.

  • Experience with GPU Architecture and parallel programming models (CUDA).

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous engineer, we want to hear from you!

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 for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 1, 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.

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