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How much do python phd hpc jobs pay per year?

As of Aug 28, 2026, the average yearly pay for python phd hpc in Santa Clara, CA is $164,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $193,200.00 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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Python Phd Hpc jobs near you

Senior Software Engineer, CUDA Python Core Libraries

Nvidia

Santa Clara, CA • On-site

$142K - $192K/yr

Full-time

Re-posted 13 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Job description

NVIDIA's accelerated computing platform is foundational to modern HPC and AI. At the center of this platform are CUDA Core Libraries that enable developers to build fast, reliable, and scalable GPU-accelerated software.

We are hiring a Senior Software Engineer to advance the Python experience for CUDA Core Libraries. You will build Pythonic APIs, language bindings, algorithms, and runtime infrastructure on top of native C/C++ foundations. You will join the team building the foundational libraries, algorithms, and language/runtime infrastructure that make CUDA a speed-of-light experience for developers and AI coding agents alike.

What you'll be doing:

  • Design and implement idiomatic Python APIs and bindings for foundational CUDA capabilities and GPU algorithms.

  • Develop and integrate the native C/C++ components that support Python-facing functionality.

  • Define reliable and efficient interoperability boundaries between Python, C/C++, Rust, and other languages.

  • Develop high-performance interfaces that minimize Python and native-language integration overhead.

  • Own features throughout their lifecycle: design, implementation, testing, profiling, benchmarking, documentation, release, and long-term maintenance.

  • Improve the Python developer experience through typing, packaging, examples, diagnostics, continuous integration, and compatibility testing.

  • Collaborate with C/C++, Rust, compiler, and runtime engineers on shared architecture and API decisions.

  • Work directly with users to investigate correctness, usability, compatibility, and performance issues.

What we need to see:

  • BS, MS, or PhD in Computer Science, Computer Engineering, or a related field, or equivalent experience.

  • 8+ years of relevant software-development experience.

  • Strong production programming skills in both Python and C/C++; both are required for this role.

  • Experience building Python interfaces to native or systems-level software.

  • Understanding of systems software concepts, performance, concurrency, and API design.

  • Practical experience with parallel, heterogeneous, or GPU programming.

  • Experience developing production software or widely used libraries, including testing, profiling, benchmarking, packaging, and code review.

  • Ability to work independently, define project scope, and drive complex work to completion.

  • Clear written communication skills for API specifications, technical designs, and user documentation.

  • Comfort working in large codebases spanning Python, C/C++, build systems, packaging, and continuous-integration infrastructure.

Ways to stand out from the crowd:

  • Strong understanding of CPU/GPU architecture and performance optimization, with hands-on experience in GPU-accelerated stacks (CUDA C++/Python, PyTorch, JAX, Numba, CuPy, or similar).

  • Proficiency with modern C++ and GPU libraries such as Thrust, CUB, and libcudacxx.

  • Experience with compiler infrastructure and tooling, including LLVM, Clang, or MLIR.

  • Expertise in designing low-overhead interoperability between Python and native languages, including exposure to Rust in mixed-language stacks.

  • Demonstrated interest in developer tools, library design, and improving developer productivity.

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 25, 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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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