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Python Phd Hpc Jobs (NOW HIRING)

NVIDIA

Senior HPC and Quantum Systems Engineer

Westford, MA · On-site

$108K - $148K/yr

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

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

$121K - $163K/yr

... HPC, through popular frameworks such as NumPy, SciPy, TensorFlow and PyTorch. These frameworks ... PhD degree in Computer Science, Applied Math, Electrical Engineering or related field (or ...

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 · On-site

$108K - $148K/yr

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

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.

Kla

Software Engineer - HPC

Milpitas, CA · On-site

$136K - $231K/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

Hewlett Packard Enterprise Development LP

PhD degree in Computer Science, Engineering, Physics, Mathematics with a strong preference for ... Advanced programming skills in Python * Experience contributing to large software projects and ...

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How much do python phd hpc jobs pay per year?

As of Jun 16, 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 June 2026, with employment types broken down into 1% Internship, 86% Full Time, 6% Part Time, and 7% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.
Senior HPC and Quantum Systems Engineer

Senior HPC and Quantum Systems Engineer

NVIDIA

Westford, MA • On-site

$108K - $148K/yr

Full-time

Posted 11 days ago

Job description

Job Summary:
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. They are seeking a Senior Quantum/HPC Systems Engineer to help architect, deploy, and operate a first-of-its-kind NVIDIA Accelerated Quantum Computing center. This role involves leading the technical ownership of a GPU supercomputing environment integrated with quantum systems.
Responsibilities:
• Build, deploy, and operate a hybrid computing platform combining large-scale NVIDIA GPU clusters with physical quantum processors (neutral atom, trapped ion, superconducting, and future modalities).
• Integrate quantum control systems and access nodes with HPC infrastructure using APIs, middleware, and orchestration frameworks such as CUDA-Q, cuQuantum, NVQlink, and related toolchains.
• Develop and refine hybrid execution workflows that coordinate GPU computation, quantum execution, and data movement across tightly coupled systems.
• Be responsible for the reliability, performance, and lifecycle management of the Quantum environment, including Linux systems, QPU hardware, job schedulers (e.g., Slurm), networking, and storage.
• Work closely with networking and facilities teams to ensure power, cooling, timing, environmental controls, and low-latency connectivity meet quantum hardware requirements.
• Serve as a technical interface to quantum hardware partners, collaborating on system bring-up, connectivity, control interfaces, and co-design opportunities.
• Help define hosting, networking, and integration requirements for new quantum systems entering the facility.
• Partner with internal researchers and engineers to deploy, optimize, and benchmark hybrid workloads across simulation, quantum error correction, calibration, optimization, and machine learning.
• Prototype and evaluate end-to-end workflows that demonstrate the capabilities of the platform.
• Produce clear internal documentation, integration guides, and operational runbooks to enable broader adoption of the platform.
• Represent the organization at technical workshops, conferences, and industry forums when appropriate.
Qualifications:
Required:
• 10+ years of hands-on experience operating HPC or large-scale compute infrastructure in production environments.
• Bachelor’s degree or Master’s degree with equivalent experience in Physics, Electrical/Computer Engineering, Computer Science, or equivalent practical experience (PhD a plus).
• Strong background in Linux systems administration, job schedulers (Slurm or equivalent), and computing environments committed to reliable operation.
• Proven experience working in data center environments, including networking, storage, power, and operational constraints.
• Familiarity with quantum computing concepts and hardware architectures (neutral atom, trapped ion, superconducting, photonic).
• Experience with or strong interest in quantum software environments including CUDA-Q, Qiskit, Cirq, PennyLane, Braket, or similar.
• Proficiency in Python and/or C++ for automation, API integration, and workflow orchestration.
• Comfort working across system boundaries: control systems, APIs, networking, and performance tooling.
Preferred:
• Direct experience integrating or hosting physical quantum hardware in a data center or HPC environment.
• Deep knowledge of quantum–classical orchestration, low-latency data paths, or real-time control considerations.
• Experience working with NVIDIA tools and frameworks.
• Experience bridging experimental research teams and production infrastructure.
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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