Senior Solutions Architect

September 10

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D-Wave

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Description

• Build customer applications on the D-Wave quantum computer and internal tools • Ensure successful delivery of projects to achieve business value for customers • Communicate capabilities with customers and ask probing questions to understand the problem and propose solutions • Gather requirements on customer use cases, lead brainstorming sessions, consult with customers on potential solutions, model use cases mathematically, and design and develop quantum hybrid applications • Build and maintain relationships with leaders across various groups within D-Wave • Share customer and project-related insights with D-Wave's tools and product teams and help prioritize new product features • Organize, prepare, and present technical information in a clear and effective manner • Participate in the development of an inclusive, helpful, fun environment

Requirements

• Masters, PhD, or equivalent in Operations Research, Data Science, Mathematics, Statistics, Computer Science, Physics, or related technical field preferred • 3+ years experience with Python. Knowledge of Numpy, Pandas, Scikit-learn, and Networkx is an extra bonus! • Experienced working directly with external customers (ideally in a consulting role) to identify requirements and consult on solutions to complex business problems • Experienced using leading optimization tools (e.g., CPLEX or Gurobi) • Practical with a view of what it means to solve customer problems, with a strong sense of urgency and an understanding of project delivery requirements • Strong knowledge of mathematical modeling and optimization solution techniques • Experience with a version control software such as Git • Experience building applications to solve complex business problems for customers • Collaborative mindset and solid interpersonal skills • Passionate for writing state-of-the-art code • Experience providing technical leadership from business problem definition, functional requirements specifications, to solution design and implementation • Proven record of successful on-time delivery of projects with a high degree of predictability and quality • Preferably experienced within industries such as Manufacturing, Logistics, Retail, Services