HPE Labs - Senior QEC Researcher - Integrated HPC & Quantum Solutions

Hewlett-Packard Enterprise
Milpitas, CA, United States
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Compensation
$135,500.0 - $258,500.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence C++ (Programming Language) Nvidia CUDA Computer Programming Field-Programmable Gate Array (FPGA) General-Purpose Computing on Graphics Processing Units Python (Programming Language) Machine Learning Quantum Computing Tensorflow Software Engineering
+5 more
Cloud Platform System High Performance Computing Pytorch Information Technology Free and Open-Source Software

Job description

This role has been designed as ‘Hybrid’ with a requirement that you will work on average 2 days per week from an HPE office., The HPE Quantum team at HPE Labs is developing new approaches for quantum computing, including integration with high performance computing. As a Senior Research Engineer with a focus on Quantum Error Correction (QEC), you will be at the forefront of efforts to bring quantum computing from research to practical reality. You will conduct cutting-edge research in QEC, develop and extend quantum circuit compilation and simulation tools, influence HPC-QC architectural decisions, and publish your findings. You will work closely with a multidisciplinary team of engineers, researchers, and product managers to build usable, efficient, and innovative systems that combine quantum computing and high-performance computing., * 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

Knowledge and Skills:

  • 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

Benefits & conditions

“The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.

  • United States of America: Annual Salary USD 135,500 - 258,500 in Massachusetts // 135,500 - 275,000 in California // 119,500 - 275,000 in Illinois & Maryland The listed salary range reflects base salary. Variable incentives may also be offered.”

The listed salary range reflects base salary. Variable incentives may also be offered.”

About the company

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Apply for this position

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