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Python Phd Hpc Jobs in Marcus Hook, PA (NOW HIRING)

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Python Phd Hpc information

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$22.4K

$136.6K

$197.6K

How much do python phd hpc jobs pay per year?

As of Aug 1, 2026, the average yearly pay for python phd hpc in Marcus Hook, PA is $136,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $160,500.00 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.
Python Phd Hpc jobs near you
Infographic showing various Python Phd Hpc job openings in Marcus Hook, PA as of July 2026, with employment types broken down into 1% As Needed, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $136,579 per year, or $65.7 per hour.

Sr Applied ML Engineer - Physics-Driven Systems & Optimization

Keysight Technologies, Inc.

Harrisonville, NJ

$103K - $142K/yr

Other

Re-posted 3 days ago

Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

50th of 156 rated electronics manufacturers

Job description

Overview

Keysightis on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn moreabout what we do. 

Our award-winningculture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions.We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

About Keysight AI Labs

Keysight’s AI Labs is a global R&D group pioneering the integration of machine learning, generative AI into Keysight’s test, measurement, and design solutions. Our mission is to transform how engineers design, simulate, and validate advanced systems- from 6G and semiconductors to quantum and automotive - by embedding AI throughout our workflows.

About the AI Team 

Join Keysight's central AI Hub in the heart of Barcelona. We are expanding our newly formed AI Team. As part of this growing team, you will join a vibrant, cross-functional environment that brings together experts in ML engineering, data science, physics-informed modeling, and software development. You’ll work closely with domain experts across RF, EM, circuit design, and test & measurement to accelerate scientific innovation through AI.

About the Role

As a Senior Applied Machine Learning Engineer, you will design, implement, and deploy state-of-the-art ML architectures that merge physics insights, numerical optimization, and modern AI techniques.


You’ll contribute to building scalable and explainable ML systems, from geometry-aware GNNs and Transformers to reinforcement learning and generative models, that drive design automation, anomaly detection, and optimization in Keysight’s next-generation platforms.


Responsibilities
  • Partner with Keysight experts in RF, EM, circuit, and measurement domains to translate physical constraints and design workflows into ML-ready formulations.
  • Design and implement advanced ML architectures:
    • Graph Neural Networks (GNNs) for geometry/topology-aware modeling
    • Transformers for sequential and multimodal data
    • Vision Models (CNNs, ViTs) for field- or spectrogram-based detection
    • Generative Models (GANs, Diffusion) for data augmentation and design candidate generation
  • Apply advanced optimization and control methods:
    • Bayesian, gradient-based, and gradient-free optimization
    • Reinforcement Learning (PPO, DDPG, SAC) for continuous tuning and control tasks
  • Develop scalable training and inference pipelines (multi-GPU, HPC, AWS) ensuring efficiency and reliability.
  • Write production-ready code in Python, C++, and CUDA, integrating with CI/CD pipelines and performance profiling tools.
  • Benchmark ML and RL models against physics simulators and measurement datasets for robustness and reproducibility.
  • Collaborate with product teams to embed AI/ML-based optimization and generative modules into Keysight software.
  • Stay current with the latest ML, RL, and generative AI research; evaluate and prototype promising new techniques.

Qualifications

Required Qualifications

  • Master’s or PhD in Applied Mathematics, Scientific Computing, Computer Science, Electrical Engineering, or related field

  • 5+ years of experience applying scientific computing and optimization to real-world problems (e.g., RF, EM, or measurement systems)

  • Strong hands-on experience with modern ML architectures (GNNs, Transformers, Vision Models, Neural Operators)

  • Practical experience with generative models (GANs, VAEs, Diffusion)

  • Background in Bayesian and numerical optimization and hyperparameter tuning

  • Applied experience with reinforcement learning (PPO, DDPG, SAC)

  • Proficiency in Python, C++, CUDA, and GPU performance optimization

  • Experience with multi-GPU/distributed training in HPC or cloud (Slurm, MPI, AWS)

  • Solid software-engineering discipline (testing, CI/CD, modular design)

  • Excellent communication and collaboration skills across cross-functional teams

Desired Qualifications

  • Experience applying ML/RL/generative models to parameter tuning, data augmentation, or design exploration

  • Familiarity with Keysight simulation tools (ADS, RFPro, EMPro, Signal Studio, RaySim)

  • Publications or patents in scientific ML, generative modeling, RL, or optimization

  • Experience deploying ML/RL systems in production or embedded workflows

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.*** 

Qualifications:

Required Qualifications

  • Master’s or PhD in Applied Mathematics, Scientific Computing, Computer Science, Electrical Engineering, or related field

  • 5+ years of experience applying scientific computing and optimization to real-world problems (e.g., RF, EM, or measurement systems)

  • Strong hands-on experience with modern ML architectures (GNNs, Transformers, Vision Models, Neural Operators)

  • Practical experience with generative models (GANs, VAEs, Diffusion)

  • Background in Bayesian and numerical optimization and hyperparameter tuning

  • Applied experience with reinforcement learning (PPO, DDPG, SAC)

  • Proficiency in Python, C++, CUDA, and GPU performance optimization

  • Experience with multi-GPU/distributed training in HPC or cloud (Slurm, MPI, AWS)

  • Solid software-engineering discipline (testing, CI/CD, modular design)

  • Excellent communication and collaboration skills across cross-functional teams

Desired Qualifications

  • Experience applying ML/RL/generative models to parameter tuning, data augmentation, or design exploration

  • Familiarity with Keysight simulation tools (ADS, RFPro, EMPro, Signal Studio, RaySim)

  • Publications or patents in scientific ML, generative modeling, RL, or optimization

  • Experience deploying ML/RL systems in production or embedded workflows

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.*** 

Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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