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Python Phd Hpc Jobs (NOW HIRING)

Nvidia

C/C++/Python/Bash programming/scripting experience. * Experience working with engineering or ... MS or PhD desirable. Ways to stand out from the crowd: * Deep Learning framework skills. * Exposure ...

Nvidia

$104K - $143K/yr

PhD, Master's, or Bachelor's degree in Computer Science, Applied Math, or related science or ... A scripting language, preferably Python. With a competitive salary package and benefits, NVIDIA is ...

NVIDIA

Senior Solutions Architect, NPN

Richmond, VA · On-site

They are seeking a Senior Solutions Architect to design, build, and maintain large scale HPC and AI ... Required : • Strong foundational expertise and a BS, MS, or PhD in Engineering, Computer Science ...

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How much do python phd hpc jobs pay per year?

As of Jul 11, 2026, the average yearly pay for python phd hpc in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python PhD HPC (High Performance Computing) specialist, and why are they important?

To excel as a Python PhD HPC specialist, you need advanced knowledge of Python programming, parallel computing concepts, and a doctoral degree in a computationally intensive field. Familiarity with HPC clusters, job schedulers like SLURM, and libraries such as NumPy, SciPy, and MPI for Python is typically required. Strong analytical thinking, problem-solving, and collaboration skills set candidates apart in this role. These competencies ensure efficient development, optimization, and deployment of large-scale computational models that drive scientific research and innovation.

What are the typical challenges faced by a Python PhD HPC professional when working on large-scale computational projects?

Professionals in a Python PhD HPC role often encounter challenges related to optimizing Python code for high-performance computing environments, particularly when scaling computations across multiple nodes or clusters. Managing memory usage, debugging parallel code, and ensuring compatibility with various HPC libraries and frameworks are common hurdles. Additionally, effective collaboration with interdisciplinary teams—such as domain scientists, system administrators, and data engineers—is crucial for project success. Staying updated with advancements in both Python and HPC technologies also requires ongoing learning and adaptability.

What is a Python PhD HPC specialist?

A Python PhD HPC specialist is a professional with a doctoral degree who uses the Python programming language to develop and optimize high-performance computing (HPC) applications. These specialists often work on complex scientific or engineering problems that require significant computational resources, such as simulations, data analysis, or machine learning at scale. They possess deep expertise in both Python programming and HPC environments, including parallel computing, distributed systems, and cluster management. Their work often bridges the gap between theoretical research and practical implementation on supercomputers or large compute clusters.
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Infographic showing various Python Phd Hpc job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 88% In-person, 4% Hybrid, and 8% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.
Senior HPC Architect, Automation and At-Scale Deployment

Senior HPC Architect, Automation and At-Scale Deployment

Nvidia

On-site

Full-time

Posted 2 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life's work, to amplify human imagination and intelligence. Make the choice, join our diverse team today!

We are looking for an outstanding hands-on architect/engineer for a Senior HPC architect role to support deployment and bringup of large-scale GPU compute clusters. Be a key player to enable the most exciting computing hardware and software and contribute to the latest breakthroughs in artificial intelligence and GPU computing. Provide insights on and implement at-scale system administration and tuning mechanisms for large-scale compute runs. You will work with the latest accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What you'll be doing:

  • Provide engineering solutions to operationalize the latest GPU Computing products and software stacks, ensure technical relationships with internal and external engineering teams, and assisting systems, machine learning/deep learning engineers in building creative solutions based on NVIDIA technology.

  • Be an internal reference for system administration, at-scale system analysis, and other datacenter and large-scale GPU-accelerated system solutions among the NVIDIA technical community.

What we need to see:

  • 8+ years of experience using in accelerated computing for datacenter/HPC-based Enterprise computing solutions.

  • Solid understanding of accelerated computing scheduling and I/O stacks.

  • C/C++/Python/Bash programming/scripting experience.

  • Experience working with engineering or academic research community supporting high performance computing or deep learning.

  • Experience with parallel filesystems.

  • Strong teamwork and communication skills, both verbal and written.

  • Ability to multitask effectively in a dynamic environment.

  • Action driven with strong analytical skills.

  • Desire to be involved in multiple diverse and innovative projects.

  • BS (or equivalent experience) in Engineering, Mathematics, Physics, or Computer Science. MS or PhD desirable.

Ways to stand out from the crowd:

  • Deep Learning framework skills.

  • Exposure to using and deploying telemetry and visualization pipelines

  • Exposure to container technology and Linux performance tools.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, 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 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 July 10, 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.

What Nvidia employees say

Hours and flexibility

Workplace

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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

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