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Python Phd Hpc Jobs in California (NOW HIRING)

KLA

Software Engineer - HPC

Milpitas, CA · On-site

$136.30K - $231.70K/yr

Have a strong engineering background, PhD/Masters in EECS, Mathematics, Software Engineering, or ... Scripting languages like Python; * Data Structures and algorithms * Linux System Programming

Kla

Software Engineer - HPC

Milpitas, CA

$136.30K - $231.70K/yr

Have a strong engineering background, PhD/Masters in EECS, Mathematics, Software Engineering, or ... Scripting languages like Python; * Data Structures and algorithms * Linux System Programming

KLA Corporation

Software Engineer - HPC

Milpitas, CA

$136.30K - $231.70K/yr

Have a strong engineering background, PhD/Masters in EECS, Mathematics, Software Engineering, or ... Scripting languages like Python; * Data Structures and algorithms * Linux System Programming

Orbotech

Software Engineer - HPC

Milpitas, CA

$136.30K - $231.70K/yr

Have a strong engineering background, PhD/Masters in EECS, Mathematics, Software Engineering, or ... Scripting languages like Python; * Data Structures and algorithms * Linux System Programming

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Python Phd Hpc information

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 California as of May 2026, with employment types broken down into 1% Internship, 96% Full Time, and 3% Contract. Highlights an 94% Physical, and 6% Hybrid job distribution.
Senior Software Engineer - Python Numerical Computing Libraries

Senior Software Engineer - Python Numerical Computing Libraries

NVIDIA

Santa Clara, CA • On-site

$142.60K - $192K/yr

Full-time

Posted 26 days ago

Job description

Job Summary:
NVIDIA is a leader in GPU-accelerated computing, and they are seeking an experienced software professional to contribute to the design and development of Python APIs for numerical computing. The role involves optimizing GPU-accelerated implementations and supporting Python-based frameworks across various ecosystems.
Responsibilities:
• 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
Qualifications:
Required:
• 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
Preferred:
• 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
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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

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