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Python Phd Hpc Jobs in New York (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 ...

... large scale HPC and AI hybrid computing solutions to join our team at NVIDIA. As Solution ... Strong foundational expertise and a BS, MS, or PhD in Engineering, Computer Science, or a related ...

Solutions Architect, NPN

New York, NY · Hybrid

$69 - $90.75/hr

... large scale HPC and AI hybrid computing solutions to join our team at NVIDIA. As Solution ... What we need to see: * BS, MS, or PhD in Engineering, Computer Science, or a related field (or ...

Computational Plasma Physicist

Kearny, NJ · On-site

$120K - $140K/yr

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 ...

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Python Phd Hpc information

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 cities in New York are hiring for Python Phd Hpc jobs? Cities in New York with the most Python Phd Hpc job openings:

HPC & Supercomputing Systems Engineer - Research

StaffRight Associates, LLC

Manhattan, NY • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Preface

The architectural integrity of global investment and technology research relies on the seamless convergence of Systems Engineering and rigorous computational execution. Within this domain, where the synthesis of complex data and high-performance systems is the primary objective, the necessity for first-principles mastery extends beyond the laboratory and into the operational nucleus of the organization.

StaffRight Associates is seeking an elite professional to join the Systems Infrastructure and Networks team at a world-class firm dedicated to the advancement of computational excellence. This role demands a candidate who possesses the intellectual pedigree required to navigate the complex challenges of a research-intensive environment. By bridging specialized technical awareness with proactive problem-solving, the successful candidate will ensure the structural alignment of the firm’s strategic mission with its technical execution.

The Mission

StaffRight Associates is recruiting for a Systems Engineer (Agents/Clusters/Supercomputers). As a Systems Engineer, you will serve as a vital catalyst within a premier organization. The mission is to decouple systemic friction from analytical progress, allowing the firm’s leadership to maintain a singular focus on the acceleration of Machine Learning, Molecular Dynamics Simulation, and Drug Discovery.

You will be tasked with the sophisticated management of Compute Clusters, Software Environments, and Advanced Infrastructure, transforming abstract organizational needs into formalized, actionable results. This role requires a high degree of technical literacy to effectively support a team leveraging proprietary architectures and sophisticated algorithms to revolutionize Computational Biochemistry and Precision Medicine.

Core Technical Objectives
  • Orchestrate Systemic Workflows: Formalize and execute complex protocols and high-stakes technical workflows to ensure continuous operational flow for the Infrastructure and Research teams—making Kubernetes-powered agentic workflows, state-of-the-art GPU clusters, and tens of petabytes of storage securely and conveniently available to machine learning researchers.

  • Synthesize Complex Data: Conduct ad hoc technical and infrastructure research projects, distilling multifaceted information regarding distributed systems, high-performance RDMA fabrics, and wide-area networks into coherent frameworks that support strategic decision-making.

  • Optimize Operational Frameworks: Validate, process, and optimize intricate configurations and technical requirements across Linux clusters (ranging from thousands to tens of thousands of CPU cores) with meticulous attention to detail and systemic accuracy.

  • Engineer Multi-Project Solutions: Independently manage a diverse portfolio of concurrent infrastructure initiatives—from optimizing massively parallel custom supercomputers to scripting distributed systems in Python—applying a proactive Goal-Execution-Mapping (GEM) approach to solve emergent bottlenecks.

  • Facilitate Elite Communication: Serve as a discreet and articulate interface between the technical committee, internal machine learning researchers, and external stakeholders, maintaining the highest standards of professional integrity.

Candidate DNA
  • Architectural Philosophy: A mindset rooted in efficiency, scalability, and resilience, with the ability to navigate a high-pressure environment without supervision.

  • Resourceful Problem-Solving: A proven track record of autonomous execution, demonstrating intellectual curiosity, versatility, and the ability to anticipate systemic performance bottlenecks before they impact the broader workflow.

  • Communication Precision: Exceptional interpersonal and communication skills characterized by clarity, discretion, and the ability to interact with elite scientific, machine learning, and business minds.

  • Functional Versatility: A generalist systems mindset capable of pivoting fluidly between rigorous Linux systems administration, HPC systems engineering, software development, and advanced network engineering within a high-performance ecosystem.

Academic & Research Pedigree
  • Educational Foundation: An advanced degree Masters, PhD is preferred, ideally within a STEM discipline (such as Computer Science, Computer Engineering, or a related field) that provides a foundation for understanding High-Performance Computing (HPC) and Systems Software.

  • Domain Expertise: Prior professional engagement within high-performance computing, large-installation systems administration, or advanced technology sectors is highly advantageous, alongside a strong fundamental knowledge of Linux concepts (file systems, networking, and processes).

  • Quantitative Literacy: Comfort with the mathematical, algorithmic, and operational rigor inherent in a firm focused on custom supercomputing architecture and high-speed, parallel data processing.

Partnering with StaffRight Associates

At StaffRight Associates, we operate at the intersection of technical synthesis and structural alignment. We don’t just match resumes to keywords; we map your engineering DNA, your architectural philosophy, and your approach to system resilience to the most sophisticated STEM challenges in the industry.

When you partner with us, you are engaging with an elite team that speaks your language and understands the nuances of high-stakes innovation. We are committed to placing elite talent where their technical contributions drive systemic impact.