Develop graph-theoretical algorithms for mapping optimization problems to the topology of our quantum computers
Lead complex research and development initiatives focused on benchmarking, characterization, and performance optimization of quantum computing systems
Drive the design, development, and evaluation of existing and novel quantum-classical hybrid algorithms
Independentlyidentify, define, and execute research opportunities that advance algorithmic performance, benchmarking methodologies, and system capabilities
Critically evaluate emerging research, benchmarks, and methodologies from scientific literature, assessing technical validity, reproducibility, and business relevance
Design and execute experiments to characterize QPU contributions within hybrid algorithms and broader system workflows
Conduct in-depth analysis of experimental and benchmarking results toidentifytrends, inform technical strategy, and guide system-level improvements
Develop scalable benchmarking frameworks, tools, and processes that improve research efficiency, technical rigor, and decision-making
Communicate findings and recommendations to technical and non-technical audiences, tailoring content to varying levels ofexpertise
Collaborate cross-functionallywith physicists,computer scientists,software developers, product teams, and other domain experts to integrate multidisciplinary insights into research initiatives
Serve as a technical resource within the organization, providing mentorship, guidance, and thought leadership in areas of expertise
Contribute to the evolution of research methodologies, technical standards, and best practices across the team