About the Role
The role involves advancing quantum computing technologies within high-performance computing environments, with emphasis on developing scalable algorithms, optimizing system performance, and contributing to software infrastructure for quantum-accelerated applications.
Responsibilities
- Design and implement quantum algorithms tailored for hybrid computing architectures
- Optimize quantum software performance on large-scale computing platforms
- Collaborate on the integration of quantum processing units with classical HPC systems
- Develop tools and libraries for quantum circuit simulation and execution
- Contribute to the architecture of quantum-classical runtime systems
- Analyze scalability and efficiency of quantum computing workflows
- Work closely with hardware teams to align software with quantum processor capabilities
- Publish research findings in peer-reviewed venues
- Support benchmarking and profiling of quantum computing workloads
- Participate in defining long-term quantum computing strategies
- Troubleshoot and debug quantum software across multiple layers
- Evaluate emerging quantum programming models and languages
- Contribute to open-source quantum software projects
- Engage with academic and industry partners on joint initiatives
- Ensure software solutions meet accuracy and performance standards
- Develop documentation for quantum computing tools and frameworks
- Assist in the validation of quantum hardware using software simulations
- Explore methods for error mitigation in quantum computations
- Support the deployment of quantum-ready HPC infrastructure
- Contribute to cross-team technical planning and roadmaps
- Mentor junior engineers and researchers
- Stay current with advancements in quantum information science
- Participate in technical reviews and design discussions
- Integrate feedback from domain scientists into quantum software tools
- Support the development of quantum use cases in scientific computing
Nice to Have
- Postdoctoral or industry experience in quantum computing
- Hands-on experience with superconducting or trapped-ion quantum processors
- Contributions to quantum software libraries used by the community
- Experience in performance modeling of quantum systems
- Background in computational physics or applied mathematics
- Familiarity with quantum networking concepts
- Experience mentoring research teams
- Knowledge of formal verification methods for quantum programs
- Involvement in quantum standards organizations
- Experience with large-scale data analysis in scientific domains
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model
Team
Part of the advanced computing research team
About the Team
This group focuses on advancing computing systems that integrate quantum and classical processing for next-generation scientific discovery and artificial intelligence applications.
Research Focus
Current efforts include hybrid quantum-classical algorithms, quantum simulation for materials science, and scalable runtime environments for distributed quantum computing.
Collaboration Environment
Engineers work alongside physicists, computer scientists, and hardware architects in a highly collaborative research setting.
Impact Areas
Work contributes to advancements in quantum chemistry, optimization, and machine learning through accelerated computing platforms.
Technology Stack
Projects utilize GPU-accelerated simulators, distributed computing frameworks, and quantum programming models aligned with industry standards.
Publication and Innovation
Team members regularly publish in venues such as QIP, ICML, SC, and ASPLOS, and contribute to patent portfolios in quantum computing.
Work Location
Primary location is Santa Clara, CA, with collaboration across global research sites.
Security Requirements
Position may require access to controlled technology, subject to compliance with export control regulations.
Available for qualified candidates
