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Python Phd Hpc Jobs (NOW HIRING)

HPC Systems Architect

Chicago, IL · On-site

$250K/yr

Bachelor's, Master's, or PhD degree in Computer Science, Electrical Engineering, or a related field ... Programming languages such as Python, Go, C++, or similar * Exceptional communication skills, with ...

HPC Systems Architect

Chicago, IL · On-site

$200 - $225/hr

Bachelor's, Master's, or PhD degree in Computer Science, Electrical Engineering, or a related field ... Programming languages such as Python, Go, C++, or similar * Exceptional communication skills, with ...

New

HPC Systems Architect

Chicago, IL · On-site

$200K - $225K/yr

Bachelor's, Master's, or PhD degree in Computer Science, Electrical Engineering, or a related field ... Programming languages such as Python, Go, C++, or similar * Exceptional communication skills, with ...

PhD holders: 4-6 years of relevant experience. * Five (5) or more years managing UNIX/Linux systems ... Proficiency with at least one scripting language (Bash, Python, Perl, etc.). * Strong Linux ...

Strong scripting skills in Shell and Python * Strong understanding of HPC hardware platforms ... PhD with 3 years experience; or equivalent experience. Base Pay Range: $129,600.00 - $220,300.00 ...

Strong scripting skills in Shell and Python * Strong understanding of HPC hardware platforms ... PhD with 3 years experience; or equivalent experience. Base Pay Range: $129,600.00 - $220,300.00 ...

NVIDIA's accelerated computing platform is foundational to modern HPC and AI. At the center of this ... What we need to see: * BS, MS, or PhD in Computer Science, Computer Engineering, or a related field ...

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Python Phd Hpc information

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How much do python phd hpc jobs pay per year?

As of Aug 21, 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 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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Infographic showing various Python Phd Hpc job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 6% Part Time, and 6% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.

Senior QEC Researcher - Integrated HPC & Quantum Solutions

Jobtailor

California, MO • On-site

$180 - $260/hr

Other

Posted 3 days ago

New


Job description

• Evaluate and develop improvements to quantum error correction strategies, algorithms, and software to enable practical execution of applications on quantum hardware
• Develop software components to handle QEC details in quantum circuit compilation, emulation/simulation, and resource estimation
• Develop or integrate real-time decoder technologies into HPE's HPC-QC software stack
• Contribute to HPC-QC architecture decisions with detailed knowledge of quantum error correction strategies
• Create and demonstrate novel quantum error correction components and describe these in publications and presentations
• Extend open-source software and improve quantum circuit compilation and simulation capabilities
• Demonstrate workflow strategies for applications that combine high performance and quantum computing, and participate in standardization of key interfaces

Requirements
  • PhD degree in Computer Science, Engineering, Physics, or Mathematics with a strong preference for quantum computing, computational science, or ML/AI expertise
  • 10 or more years of programming experience
  • 1 or more years of experience implementing software for quantum error correction (resource estimation, real-time decoding, circuit compilation)
  • Advanced programming skills in low-level languages such as C, C++, or Rust, and advanced programming skills in Python
  • Deep understanding of Quantum Error Correction codes including circuit compilation and decoding aspects, and deep understanding of Quantum Computing with skills in understanding and optimizing circuits
  • Experience creating or extending quantum computing tools (e.g., Qiskit, CUDA-Q, TensorFlow Quantum, Pennylane)
  • Experience contributing to large software projects, creating new software efforts, and designing library APIs
  • Strong mathematical background with excellent skills in areas such as statistics, probability, and linear algebra
  • Excellent communication skills, capable of conveying complex ideas clearly and engaging with both technical and non-technical audiences in written form and in presentations
  • Strong leadership, consensus-building, and stakeholder engagement skills with an outcome-focused mindset and a bias for action and delivery
  • Creative and analytical thinking abilities with a passion for solving complex problems and a focus on quality and customer results
  • Knowledge of applications of quantum computing, including quantum chemistry, quantum simulation, combinatorial optimization, or statistical physics
  • Experience with HPC environments, cloud computing platforms, GPU computing, or FPGA computing
  • Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and solid understanding of machine learning algorithms and generative AI
  • Strong track record of sharing findings with the broader scientific community, such as publishing research papers in top-tier journals and conferences.
Core Competencies

Demonstrates expertise in Quantum Error Correction strategies and algorithms, with advanced programming skills in C, C++, Rust, and Python. Capable of contributing to high-performance computing environments and integrating quantum computing tools while effectively communicating complex concepts to diverse audiences.

Highest-signal resume keywords
  • Quantum Error Correction Implementation
  • Advanced Programming in C, C++, Rust, and Python
  • Quantum Computing Tool Development (Qiskit, CUDA-Q, TensorFlow Quantum)
  • HPC Environment Experience
  • Strong Mathematical Background
ATS Optimization Keywords Hard Skills
  • Quantum Error Correction
  • Circuit Compilation
  • Real-Time Decoding
  • Resource Estimation
  • Programming in C
  • Programming in C++
  • Programming in Rust
  • Programming in Python
  • Statistical Analysis
  • Linear Algebra
Soft Skills
  • Excellent Communication
  • Leadership
  • Consensus-Building
  • Creative Thinking
  • Analytical Thinking
Certifications & Qualifications
  • PhD in Computer Science
  • PhD in Engineering
  • PhD in Physics
  • PhD in Mathematics
Industry Keywords
  • Quantum Computing
  • Computational Science
  • Machine Learning
  • Quantum Chemistry
  • Quantum Simulation
  • Combinatorial Optimization
  • Statistical Physics
  • High Performance Computing
  • Standardization of Interfaces
  • Software Development
Tools & Technologies
  • Qiskit
  • CUDA-Q
  • TensorFlow Quantum
  • Pennylane
  • HPC-QC Software Stack
  • Cloud Computing Platforms
  • GPU Computing
  • FPGA Computing
  • AI/ML Frameworks
  • TensorFlow
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