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Python Phd Hpc Jobs in Seattle, WA (NOW HIRING)

PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning, or related ... Python, or similar; Fortran or HPC exposure valuable) * Familiarity with magnetic diffusion ...

Senior Plasma Data Scientist

Everett, WA · On-site

$210K - $250K/yr

PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning, or related ... Python, or similar; Fortran or HPC exposure valuable) * Familiarity with magnetic diffusion ...

Senior Software Engineer, AI Networking

Seattle, WA · On-site

$139K - $183K/yr

PhD or Master's degree in Computer Science, Software Engineering, or equivalent experience. * 4+ ... HPC, networking, and AI applications. * Hands-on experience developing and deploying various ...

MS or PhD in epidemiology, biostatistics, genetics, bioinformatics, data science, public health ... Basic proficiency in R, Python, or a similar programming/scripting language. * Genomic study-design ...

New

(Associate) Scientist, Health Data

Seattle, WA · On-site

$67K - $67K/yr

MS or PhD in epidemiology, biostatistics, genetics, bioinformatics, data science, public health ... Basic proficiency in R, Python, or a similar programming/scripting language. * Genomic study-design ...

New

Senior Software Engineer - Storage

Redmond, WA · On-site

$137K - $180K/yr

... HPC environments. * Strong programming skills in C++, Python, or Go, with proven experience ... Graduate degree (MS/PhD or equivalent experience) in Computer Science, Distributed Systems, or a ...

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Python Phd Hpc information

See Seattle, WA salary details

$26.2K

$159.3K

$230.4K

How much do python phd hpc jobs pay per year?

As of Jul 12, 2026, the average yearly pay for python phd hpc in Seattle, WA is $159,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,800.00 and $187,200.00 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.
What are popular job titles related to Python Phd Hpc jobs in Seattle, WA? For Python Phd Hpc jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Python Phd Hpc jobs in Seattle, WA look for? The top searched job categories for Python Phd Hpc jobs in Seattle, WA are:
Senior Multiphysics Modeling Engineer

Senior Multiphysics Modeling Engineer

Helion Energy

Everett, WA • On-site

$200K - $236K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

About Helion
We are a fusion power company based in Everett, WA, with the mission to build the world's first fusion power plant, enabling a future with unlimited clean electricity. Our vision is a world with clean, reliable, and affordable energy for everyone.
Since Helion's founding in 2013, we have raised $1.5 billion from long-time investors such as Sam Altman, Mithril, and Capricorn Investment Group as well as new investors including Thrive Capital, LightSpeed Venture Capital, SoftBank, and others to propel us forward. Our current prototype, Polaris, has reached record-breaking plasma temperatures of 150 million degrees Celsius (13 keV). Helion is continuing to iterate and on the path to the world's first fusion power plant, Orion.
This is a pivotal time to join Helion. You will tackle real-world challenges with a team that prizes urgency, rigor, ownership, and a commitment to delivering hard truths - values essential to achieving what no one has before. Together, we will change the future of energy, because the world can't wait.
What You Will Be Doing:
We are seeking a Senior Multiphysics Modeling Engineer to develop and validate coupled thermal-mechanical-fluid models for Helion's fusion hardware. You will bridge simulation and experimental data to inform material selection, component design, and operating limits in one of the most demanding engineered environments in the world.
This role is highly cross-functional, partnering with materials scientists, test engineers, and mechanical designers to ensure modeling directly drives hardware decisions. You will report to our Materials Manager, onsite in Everett, WA.
You Will:
  • Develop and maintain multiphysics models (primarily in MOOSE) for high-temperature ceramic and metallic components, plasma- and power-facing structures, and pulsed-load systems.
  • Simulate coupled thermal, structural, and electromagnetic behavior under rapid cyclic loading, high heat flux, and large temperature gradients, and implement and calibrate constitutive models for fatigue-dominated damage, fracture, and other relevant degradation mechanisms in extreme environments.
  • Execute rigorous verification and validation (V&V) by performing convergence studies, co-designing calibration and validation experiments with materials and test engineers, and systematically comparing model predictions to experimental results to quantify discrepancies and refine models, properties, and test plans to close the simulation-experiment gap.
  • Apply uncertainty quantification and sensitivity analysis to support life predictions, design margins, and operating envelope definition.
  • Translate modeling results into actionable design guidance for materials, joints, components, and inspection strategies.
  • Use simulation results to help establish material allowables and operating envelopes for high-temperature metallic and ceramic components.
  • Run large-scale simulations in HPC environments and build reproducible, version-controlled modeling workflows.
  • Help define a modeling roadmap and standards for key components and failure modes, including expectations for V&V, documentation, and workflow reproducibility as the modeling function grows.

Required Skills:
  • PhD (or MS with significant experience) in Mechanical Engineering, Nuclear Engineering, Materials Science, Applied Physics, or related field with a computational focus.
  • 5+ years of experience in multiphysics finite element or finite volume modeling of coupled thermal-mechanical systems including experience with irradiated materials modeling and materials in severely degrading environments (e.g., plasma, fusion/fission, high-flux/high-dose environments, etc.)
  • Proficiency with at least one advanced multiphysics platform (e.g., MOOSE, Abaqus, COMSOL, ANSYS, BISON, OpenMC, MCNP), with willingness to work in MOOSE.
  • Demonstrated experience with verification and validation against experimental data.
  • Experience running simulations in HPC environments (parallel computing, job scheduling).
  • Programming/scripting skills (e.g., Python, C++).
  • Demonstrated ability to clearly communicate model assumptions, limitations, and uncertainties to non-modelers and to work effectively with cross-functional teams.

Benefits
Our total compensation package includes benefits, including but not limited to:
  • Medical, Dental, and Vision plans for employees and their families
  • 31 Days of PTO (21 vacation days and 10 sick days)
  • 10 Paid holidays, plus company-wide winter break
  • Up to 5% employer 401(k) match
  • Short term disability, long term disability, and life insurance
  • Paid parental leave and support (up to 16 weeks)
  • Annual wellness stipend

Helion is an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need assistance or an accommodation during the interview process, please let us know.