HPE Labs - Senior QEC Researcher – Integrated HPC & Quantum Solutions (Quantum Computing)

Location: Hybrid, with an average requirement of 2 days per week from an HPE office. The listed US salary bands apply to Colorado, Massachusetts, and California.

Salary: $126,000–$239,000 annually in Colorado; $135,500–$258,500 annually in Massachusetts; $135,500–$275,000 annually in California. The ranges represent base salary, with potential variable incentives.

Company

hirify.global is a global edge-to-cloud technology company developing infrastructure and solutions for data, applications, high-performance computing, and quantum computing.

What you will do

• Research and improve quantum error correction strategies, algorithms, and software for practical quantum hardware execution.
• Develop QEC components for quantum circuit compilation, emulation, simulation, and resource estimation.
• Develop or integrate real-time decoder technologies into the HPC-QC software stack.
• Contribute quantum error correction expertise to HPC-QC architecture decisions and interface standardization.
• Extend open-source quantum computing tools and improve circuit compilation and simulation capabilities.
• Demonstrate workflows combining high-performance computing and quantum computing, and communicate findings through publications and presentations.

Requirements

• PhD in Computer Science, Engineering, Physics, Mathematics, or a related field is preferred.
• At least 10 years of programming experience and at least 1 year implementing quantum error correction software.
• Advanced programming skills in C, C++, or Rust and Python.
• Deep understanding of quantum error correction codes, quantum computing, circuit compilation, decoding, and circuit optimization.
• Experience creating or extending quantum computing tools such as Qiskit, CUDA-Q, TensorFlow Quantum, or PennyLane.
• Strong mathematics, software architecture, API design, communication, leadership, and stakeholder engagement skills.

Nice to have

• Experience with HPC environments, cloud platforms, GPU computing, or FPGA computing.
• Knowledge of quantum chemistry, quantum simulation, combinatorial optimization, or statistical physics.
• Familiarity with TensorFlow, PyTorch, machine learning algorithms, and generative AI.
• Track record of publishing research in leading journals and conferences.

Culture & Benefits

• Hybrid work with flexibility to manage work and personal needs.
• Health, financial, and emotional wellbeing benefits.
• Personal and professional development programs supporting career growth.
• Inclusive environment that values varied backgrounds and individual uniqueness.