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Python Phd Hpc Jobs in Pennsylvania (NOW HIRING)

Senior R&D Engineer

Canonsburg, PA · On-site

$85 - $110/hr

Work on the performance improvement and memory reduction under HPC environments. Design, code, test ... PhD or foreign equivalent in Mechanical, Structural, Civil Engineering, Computer Science, or a ...

Senior R&D Engineer - Job ID 18043

Easton, PA · On-site

$98K - $134K/yr

Work on the performance improvement and memory reduction under HPC environments. Design, code, test ... MINIMUM QUALIFICATIONS • PhD or foreign equivalent in Mechanical, Structural, Civil Engineering ...

Strong software development skills in Python and familiarity with modern ML frameworks (e.g ... HPC environments. * Excellent communication skills; ability to translate complex technical work to ...

$129K - $203K/yr

Strong software development skills in Python and familiarity with modern ML frameworks (e.g ... HPC environments. Excellent communication skills; ability to translate complex technical work to ...

Python Phd Hpc information

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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Cities in Pennsylvania with the most Python Phd Hpc job openings:

Senior R&D Engineer

Synopsys, Inc.

Canonsburg, PA • On-site

$85 - $110/hr

Other

Posted 23 days ago


Job description

THIS POSITION IS ELIGIBLE UNDER THE TERMS OF THE EMPLOYEE REFERRAL PROGRAM (ERP):

Summary

ANSYS, Inc. seeks Senior R&D Engineer to work in Canonsburg, PA, and various unanticipated locations. Telecommuting permitted from anywhere within the US

Responsibilities

Improve and enhance our Non-Linear solution procedure, Non-linear transient dynamics, and contact mechanics algorithms. Perform R&D in GPU acceleration for nonlinear finite element analysis procedure including contact modeling. Work on the performance improvement and memory reduction under HPC environments. Design, code, test, document, implement, and maintain software components and systems. Comfortable contributing to (and learning where necessary) anywhere within the full software stack (API design, database implementation, parallel programming, etc.). Perform moderately complex bug verification, release testing and beta support. Investigate problems discovered by QA or product support and develop solutions. Work under the general supervision of a development manager. Participate in planning, architecture, and research.

Minimum Qualifications
  • PhD or foreign equivalent in Mechanical, Structural, Civil Engineering, Computer Science, or a related field of study, one (1) year of experience in a related position.
  • Alternate Acceptable Education and Work Experience Requirement: Master’s degree or foreign equivalent in Mechanical, Structural, Civil Engineering, Computer Science, or a related field of study, and three (3) years of experience in a related position; or a Bachelor’s degree or foreign equivalent in Mechanical, Structural, Civil Engineering, Computer Science, or a related field of study and five (5) years of experience in a related position.
  • Work experience or academic coursework must have included: Experience with contact mechanics, transient dynamics, and finite element coding experience.
  • Experience delivering high-quality products in a large-scale commercial software development environment.
  • Knowledge and commercial experience with object-oriented design, scripting languages, data structures and algorithms.
  • Experience with Python and C/C++, and Fortran.

ANSYS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics.

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Synopsys logo

About Synopsys

Sourced by ZipRecruiter

Synopsys, Inc. (Nasdaq:SNPS) is the Silicon to Software partner for creative companies developing the electronic products and software applications we rely on every single day. As the world's 15th largest software company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and is also growing its leadership in software quality and security solutions. Whether you're a system-on-chip (SoC) designer building advanced semiconductors, or a software developer writing applications that require the highest quality and security, Synopsys has the solutions needed to deliver exceptional, secure products for the era of connected everything. The company is headquartered in Mountain View, California, and has approximately 113 offices located throughout North America, South America, Europe, Japan, Asia and India. Since 1986, Synopsys has been at the heart of accelerating electronics innovation with engineers around the world having used Synopsys technology to successfully design and create billions of chips and systems that are found in the electronics that people rely on every single day.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Mountain View, CA, US

Year founded

1986

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