HPE Labs - Senior QEC Researcher – Integrated HPC & Quantum Solutions This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
Who We Are:
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.
Job Description:
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.
Key Responsibilities:- 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 preferred with a strong preference for quantum computing, computational science, or ML/AI expertise or10 or more years of programming experience1 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 PythonDeep 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 APIsStrong 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 AIStrong track record of sharing findings with the broader scientific community, such as publishing research papers in top-tier journals and conferences
- What We Can Offer You: Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion:
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates#HplabsJob: Engineering
Job Level:
TCP_04"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 126,000 - 239,000 in Colorado // 135,500 - 258,500 in Massachusetts // 135,500 - 275,000 in California The listed salary range reflects base salary. Variable incentives may also be offered."Information about employee benefits offered in the US can be found at The estimated job application period closure is December 14 2026; this timeline is provided for transparency and internal planning purposes. HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
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AlertWe have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications. All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
Summary
Location:
Milpitas, California, United States of America; Fort Collins, Colorado; Andover, Massachusetts, United States of America
Type: Full time
