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Python Phd Hpc Jobs in Santa Clara, CA (NOW HIRING)

Battery FEA Engineer

Cupertino, CA · On-site

$200 - $250/hr

Experience programming in Python * Experience building, debugging, and calibrating finite element ... PhD and 10+ years relevant industry experience * Experience with coupled thermal-mechanical or ...

GPU Solution Architect

Santa Clara, CA · On-site +1

$74 - $97.50/hr

... HPC; or 5+ years of specialist-level work in large-scale GPU or AI infrastructure * Hands-on ... Python, Bash, or equivalent scripting for measurement, diagnosis, and remediation * BS, MS, or PhD ...

R&D Engineer

Sunnyvale, CA · On-site

$150K - $220K/yr

Perform in-depth research and analysis on preexisting HPC algorithms. * Translate advanced ... Education/Experience: Advanced degree (Master's or PhD) in Physics, Mathematics, Computer ...

R&D Engineer

Sunnyvale, CA · On-site

$150 - $200/hr

Perform in-depth research and analysis on preexisting HPC algorithms. * Translate advanced ... Education/Experience: Advanced degree (Master's or PhD) in Physics, Mathematics, Computer ...

R&D Engineer

Sunnyvale, CA · On-site

$150 - $200/hr

Perform in-depth research and analysis on preexisting HPC algorithms. * Translate advanced ... Education/Experience: Advanced degree (Master's or PhD) in Physics, Mathematics, Computer ...

Senior Software Engineer, AI Resiliency

Santa Clara, CA · On-site

$143K - $189K/yr

Contribute to large-scale distributed systems with high-quality, production-level C++ and Python ... You've achieved a Bachelor's, Master's or PhD in Computer Science, Electrical Engineering, or a ...

Senior Software Engineer, AI Resiliency

Santa Clara, CA · On-site

$143K - $189K/yr

Contribute to large-scale distributed systems with high-quality, production-level C++ and Python ... You've achieved a Bachelor's, Master's or PhD in Computer Science, Electrical Engineering, or a ...

Showing results 41-60

Python Phd Hpc information

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How much do python phd hpc jobs pay per year?

As of Sep 8, 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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What cities near Santa Clara, CA are hiring for Python Phd Hpc jobs?

Cities near Santa Clara, CA with the most Python Phd Hpc job openings:

Battery FEA Engineer

Socket.dev

Cupertino, CA • On-site

$200 - $250/hr

Other

Posted 9 days ago


Job description

Apple's Battery Engineering team is seeking an experienced FEA Engineer to play a critical role in the design, qualification, and manufacturing of battery systems that power Apple's portable electronic devices. In this position, your models and simulations will directly inform design decisions for nearly every battery Apple ships, impacting reliability, safety, manufacturing processes, and performance across the product portfolio.

Description

In this role, your work will directly influence the design and performance of battery systems in products used by hundreds of millions of people worldwide. You will be at the center of Apple's battery innovation engine, enabling faster development cycles, improved product safety and reliability, and breakthrough performance.

Minimum Qualifications
  • MS degree in Mechanical Engineering, Computational Mechanics, Applied Mechanics, Materials Science, Applied Physics, or similar
  • Experience with commercial finite element analysis software such as Abaqus
  • Experience with advanced simulation techniques such as nonlinear constitutive modeling and modeling of high speed events and large deformations
  • Experience programming in Python
  • Experience building, debugging, and calibrating finite element models
Preferred Qualifications
  • PhD and 10+ years relevant industry experience
  • Experience with coupled thermal-mechanical or electrochemical-mechanical modeling
  • Experience with LS-DYNA, ANSYS, or COMSOL
  • Exposure to physics-based machine learning methods for surrogate modeling or model order reduction
  • Custom solver development or user-defined material model implementation experience
  • Industry experience in battery mechanics, electrochemistry, or energy storage systems
  • Experience validating complex models against experimental data
  • Experience designing and executing physical tests for material characterization or model validation
  • Familiarity with high-performance computing (HPC) environments and version-controlled software development workflows
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