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Python Phd Hpc Jobs (NOW HIRING)

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 ...

Onesubsea

FWI & AI Scientist

Houston, TX · On-site

$100 - $150/hr

Scale implementations for GPU clusters, HPC systems, and large-scale 3D datasets. * Integrate AI ... PhD/MS in Geophysics, Applied Math, Physics, Computer Science, or equivalent experience. * Deep ...

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How much do python phd hpc jobs pay per year?

As of Aug 21, 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 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.

What are the typical challenges faced by a Python PhD HPC specialist 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 are the key skills and qualifications needed to thrive as a Python PhD HPC 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.
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Infographic showing various Python Phd Hpc job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 6% Part Time, and 6% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.

Senior Math Libraries Engineer - AI and HPC

Nvidia

Santa Clara, CA

$122K - $168K/yr

Full-time

Re-posted 15 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

NVIDIA Math Libraries team is looking for a senior engineer to join our development efforts in the area of kernel generation for AI and HPC, specifically targeting matrix operations, JITing and fusions. Around the world, leading commercial and academic organizations are revolutionizing AI, scientific and engineering simulations, and data analytics, using data centers powered by GPUs. Applications of these technologies are in healthcare, NLP, VR, deep learning, autonomous vehicles and countless others. Did you know our team develops the GPU accelerated mathematical libraries that makes all of this possible?

What you will be doing:

  • Scoping, designing, and implementing high quality and performance numerical dense linear algebra software on GPUs.

  • Owning the execution of projects involving multiple engineers and sometimes teams.

  • Providing technical leadership and feedback to library engineers working with you on projects and sometimes mentor interns.

  • Working closely with product management and other internal and external customers to understand feature and performance requirements and contribute to the technical roadmaps of libraries.

  • Finding opportunities to improve library performance and reduce code maintenance overhead through re-architecting.

  • To be successful in your responsibilities which are by nature sophisticated, you will need to find and explain complex solutions, exercise leadership, and coordinate with multiple teams to work towards your goals.

What we need to see:

  • PhD, Master's, or Bachelor's degree in Computer Science, Applied Math, or related science or engineering field of study (or equivalent experience).

  • 8+ years of experience in designing, developing, testing, maintenance, and performance optimization of HPC software using C++.

  • Strong fundamentals in kernel generation and composable library design for linear algebra.

  • Leadership skills in driving software development projects.

  • Strong collaboration, communication, and documentation habits.

  • Kernel generation. JIT focus/experience desired

Ways to stand out from the crowd:

  • Experience with parallel programming, ideally using CUDA, MPI, OpenMP, OpenACC, pthreads.

  • Good understanding of Machine Learning and Deep Learning technologies as well as knowledge of GPU (preferred) or CPU hardware architecture.

  • Experience with low level programming using assembly for performance optimization and operator fusion is a huge plus.

  • Experience with agile software development practices using project management tools such as JIRA.

  • A scripting language, preferably Python.

With a competitive salary package and benefits, 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. Are you a creative and autonomous GenAI Engineer, who loves challenges? Do you have a genuine passion for advancing the state of AI & machine learning across a variety of industries? If so, 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 April 12, 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.

What Nvidia employees say

Pay

Benefits

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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