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Python Phd Hpc Jobs (NOW HIRING)

Nvidia

Senior HPC and Quantum Systems Engineer

Westford, MA · Hybrid

$108K - $148K/yr

... PhD a plus). * Strong background in Linux systems administration, job schedulers (Slurm or ... Proficiency in Python and/or C++ for automation, API integration, and workflow orchestration.

Nvidia

$104K - $143K/yr

... PhD a plus). * Strong background in Linux systems administration, job schedulers (Slurm or ... Proficiency in Python and/or C++ for automation, API integration, and workflow orchestration.

Nvidia

$104K - $143K/yr

... PhD a plus). * Strong background in Linux systems administration, job schedulers (Slurm or ... Proficiency in Python and/or C++ for automation, API integration, and workflow orchestration.

Nvidia

Senior HPC and Quantum Systems Engineer

Westford, MA · Hybrid

$108K - $148K/yr

... PhD a plus). * Strong background in Linux systems administration, job schedulers (Slurm or ... Proficiency in Python and/or C++ for automation, API integration, and workflow orchestration.

Nvidia

OR · On-site

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 ...

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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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Python Phd Hpc jobs near you
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 Software Engineer - Python Numerical Computing Libraries

Senior Software Engineer - Python Numerical Computing Libraries

Nvidia Corporation

Santa Clara, CA • On-site

$142K - $192K/yr

Full-time

Posted 6 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

We are looking for an experienced software professional to contribute to design and development of accelerated and distributed implementations of Python APIs for numerical computing. In the last decade, Python has become the de-facto programming language for practitioners in AI, data science and HPC, through popular frameworks such as NumPy, SciPy, TensorFlow and PyTorch. These frameworks provide an efficient high-level programming interface, allowing their users to focus on their application while providing highly optimized implementations. NVIDIA has been at the forefront of providing GPU-accelerated implementations of the fundamental components of these frameworks.
Join our dynamic team to help develop and optimize GPU-accelerated and distributed implementations of Python numerical libraries, supporting Python-based frameworks in various ecosystems. This developer will be a crucial member of a team that is working to unlock the power of distributed GPU computing for domains such as scientific computing, data analytics, deep learning, and professional graphics, running on hardware ranging from supercomputers to the cloud!
What you will be doing:
  • Work closely with product management and internal or external partners, to understand use cases and requirements, and contribute to the technical roadmaps of libraries
  • Architect, prioritize, and develop accelerated and distributed implementations of numerical algorithms
  • Design future-proof Python APIs for accelerated numerical/scientific computing libraries
  • Analyze and improve the performance of developed APIs on various CPU and GPU architectures, especially as a part of customer-critical end-to-end workflows
  • Prototype integrations of developed APIs into targeted frameworks
  • Write effective, maintainable, and well-tested code for production use
  • Contribute to the development of runtime systems that underlay the foundation of multi-GPU computing at NVIDIA

What we need to see:
  • BS, MS or PhD degree in Computer Science, Applied Math, Electrical Engineering or related field (or equivalent experience)
  • 6+ years of relevant industry experience or equivalent academic experience after BS
  • Excellent Python, C++ and CUDA programming skills
  • Strong understanding of fundamental numerical methods, dense and sparse array computing
  • Deep familiarity with Python numerical computing libraries (e.g. NumPy, SciPy), including accelerated implementations (e.g. CuPy, Jax.NumPy, NumS, cuNumeric)
  • Experience developing and publishing Python libraries, following standard methodologies for pythonic API design
  • Strong background with parallel programming and performance analysis

Ways to stand out from the crowd:
  • Experience using/contributing to Python libraries for data science (e.g. Pandas), machine learning (e.g. scikit-learn) and deep learning (e.g. TensorFlow, PyTorch)
  • Experience with low-level GPU performance optimization
  • Experience building, debugging, profiling and optimizing distributed applications, on supercomputers or the cloud
  • Background with tasking or asynchronous runtimes
  • Background on compiler optimization techniques, and domain-specific language design

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 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.

What Nvidia employees say

Hours and flexibility

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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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