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Intern High Performance Computing Engineer Jobs in Raleigh, NC

... high-performance computing (HPC) workloads. * Port/extend/develop system software (firmware, OS, and drivers) to meet workload simulation needs. * Support CPU architects and performance engineers in ...

Senior Debugger Software Engineer - IDE

Durham, NC · On-site

$118.40K - $156.10K/yr

Join the NVIDIA Developer Tools team and empower engineers throughout the world developing groundbreaking products in Automotive, Gaming, Deep Learning, and High Performance Computing. See your ...

... Engineering practice, you will design and drive deployment of fully integrated architectures for GPU-accelerated AI factories and high-performance computing infrastructure in close partnership with ...

Familiarity with FPGA, GPU, embedded systems, or high-performance computing architectures. * Strong ... Prior technical leadership, Chief Engineer, or Principal Engineer experience. * Experience with ...

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92.40K - $126.40K/yr

Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows ... high-performance computing environments. * Familiarity with security frameworks and compliance ...

We are now looking for a Senior Verification Engineer for our Memory Management Unit. NVIDIA is ... High Performance Computing, Graphics and AI. Your base salary will be determined based on your ...

Machine Learning & Operations Engineer

Durham, NC · Remote

$71.10K - $96.20K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Background in distributed systems or high-performance computing * Experience with workflow ...

Machine Learning & Operations Engineer

Durham, NC · Remote

$67.20K - $90.80K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Background in distributed systems or high-performance computing * Experience with workflow ...

Senior GPU Architect

Durham, NC

$125.10K - $170.10K/yr

Strong programming ability inC, C++, Perl andPython. * Background in computer architecture, graphics algorithms, parallel processing, signal processing and/or high performance computing. NVIDIA is ...

Senior AI Systems Engineer

Raleigh, NC · On-site

$92.40K - $126.40K/yr

Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows ... high-performance computing environments. * Familiarity with security frameworks and compliance ...

... High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex ... We're looking for a Senior SRE to join our Compute Farm team and help build the next generation of ...

Strong programming ability inC, C++, Perl andPython. * Background in computer architecture, parallel processing, signal processing and/or high performance computing. * Knowledge of state of the art ...

Strong programming skills. * Experience with machine learning frameworks such as PyTorch or ... Familiarity with GPU computing and high-performance computing (HPC) environments. Other ...

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

As of May 30, 2026, the average hourly pay for intern high performance computing engineer in Raleigh, NC is $16.56, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.70 per hour, depending on experience, location, and employer.
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Senior System Simulation Architect

Senior System Simulation Architect

Nvidia

Durham, NC

Full-time

Posted 22 days ago


Job description

Do you want to help drive the development of CPU architectures to fuel the explosive growth in artificial intelligence (AI) / deep learning (DL), high-performance computing (HPC), gaming, virtual reality, and autonomous vehicles? Come join the CPU performance architecture team as a Senior System Simulation Architect and help us push performance boundaries for NVIDIA's line of CPU products!

What you'll be doing:

  • Develop full-system functional models capable of running complex multi-threaded heterogeneous (CPU/GPU) workloads - with special focus on the CPU subsystem.

  • Integrate functional models from various frameworks with RTL simulators and emulators, hardware (HW-in-the-loop), and detailed performance models.

  • Bring up system and application software in simulation and emulation - including firmware, Linux, drivers, benchmarks, and CPU/GPU workloads such as deep-learning (DL) and high-performance computing (HPC) workloads.

  • Port/extend/develop system software (firmware, OS, and drivers) to meet workload simulation needs.

  • Support CPU architects and performance engineers in their use of functional models, performance models, and emulation to drive next-generation CPU architectures.

What we need to see:

  • BS/MS in EE, CE, or CS or equivalent experience

  • 6 or more years of relevant experience

  • Excellent C/C++/Python programming skills

  • Experience in development of functional simulators and/or low-level software (OS, firmware, drivers); preferably both

  • Excellent debugging skills - of both system software/firmware and application software

  • Experience with the ARM ISA

  • Excellent communication and teamwork skills

Ways to stand out from the crowd:

  • Experience working with hardware emulators and/or FPGAs

  • Background in CPU workload analysis (SimPoint, etc.)

  • Experience with Linux kernel bringup and debug

  • Familiarity with CUDA

  • Experience with CPU/GPU application development and optimization in Pytorch, TensorFlow, and similar frameworks

NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC, and advanced system design. Our technologies power transformative applications across industries - from robotics and autonomous vehicles to healthcare and climate research.With the introduction of theGrace CPU Superchip, and more recently, the announcement of the Vera CPU, NVIDIA has expanded into the CPU server market, complementing our world-class GPUs and SoCs. These CPUs play a critical role in orchestrating complex workloads with exceptional performance-per-watt efficiency. The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader technology stack, enabling faster AI model training, agentic use-cases, efficient data processing, and scalable cloud deployments.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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