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Python Phd Hpc Jobs in Queens, NY (NOW HIRING)

... HPC. * Strong proficiency in C++ and Python * Experience with quantum algorithms, quantum ... Advanced degree (MS/PhD) in Computer Science, Physics, or Mathematics. * Experience with classical ...

Computational Plasma Physicist

Kearny, NJ · On-site

$120K - $140K/yr

  • Medical

  • Dental

  • Vision

  • PTO

PhD in Plasma Physics, Computational Physics, Applied Physics, or a related field, or master ... Proficiency in programming languages commonly used in scientific computing (e.g., Python, Fortran ...

Research Engineer, Pre-Training

New York, NY · On-site

$300K - $350K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Expertise in Python and deep experience with modern deep learning frameworks (PyTorch and/or JAX ... Advanced degree (MS or PhD) in Computer Science, Machine Learning, Physics, Mathematics, or a ...

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Python Phd Hpc information

See Queens, NY salary details

$24K

$146.1K

$211.3K

How much do python phd hpc jobs pay per year?

As of Aug 15, 2026, the average yearly pay for python phd hpc in Queens, NY is $146,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,300.00 and $171,600.00 per year, depending on experience, location, and employer.

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.

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 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 job categories do people searching Python Phd Hpc jobs in Queens, NY look for?

The top searched job categories for Python Phd Hpc jobs in Queens, NY are:

What cities near Queens, NY are hiring for Python Phd Hpc jobs?

Cities near Queens, NY with the most Python Phd Hpc job openings:

Senior Quantum Computing Libraries Engineer

NVIDIA Corporation

Manhattan, NY • On-site

$184 - $287.50/hr

Other

Posted 10 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

Senior Quantum Computing Libraries Engineer page is loaded## Senior Quantum Computing Libraries Engineerlocations: US, CA, Santa Clara: US, NY, New Yorktime type: Full timeposted on: Posted Yesterdayjob requisition id: JR2012496NVIDIA's accelerated computing platform has revolutionized HPC and AI, and we have built the cuQuantum SDK to enable researchers and framework developers in the area of Quantum Computing. This role will be part of an engineering team developing, scaling, and optimizing software to accelerate and scale quantum computing and quantum system simulations. Ideal candidates will have experience building software systems and curiosity about advancing the state-of-the-art in applications of HPC and GPUs to the quantum computing ecosystem. If you are passionate about designing and developing high-performance software and want to help us build libraries to significantly accelerate research and development in this exciting field, we would love to hear from you!## **What you'll be doing:*** Researching and developing and optimizing GPU accelerated algorithms across multiple hardware generations* Develop innovative HPC algorithms to scale quantum circuit simulations* Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, HPC technologies, and machine learning* Interacting with external partners and researchers to understand their use cases and requirements* Providing technical leadership and guidance to other engineers* Analyzing the performance of GPU, CPU, multi-GPU/multi-node implementations, finding opportunities for algorithmic or implementation-based improvements## **What we need to see:*** Excellent C++ and Python programming and software design skills, including functional and performance test design* Experience programming for GPUs, in a multi-threading and multi-node MPI programming model, and expertise in hardware-aware optimization* Experience with agentic coding tools* Demonstrated ability developing scientific software used in quantum simulations (e.g., circuit simulators, compilers, hybrid-computing)* PhD or MSc degree in Computer Science, Applied Math, Physics, or related science or engineering field (or equivalent experience)* 8+ years of experience* Strong collaboration, communication, and documentation skills## **Ways to stand out from the crowd:*** Experience using one or more quantum computing and deep learning frameworks (e.g., Qiskit, Cirq, Pennylane, TNQVM, TensorFlow, PyTorch)* Proven experience with HPC technologies and communication algorithms* Expertise in numerical methods, Hamiltonian integrals, quantum simulation techniques* Experience working in an agile software development environment within a globally distributed organizationWith competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing.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 .Applications for this job will be accepted at least until April 27, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse 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. #J-18808-Ljbffr

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Benefits

Hours and flexibility

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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

Year founded

1993