Senior Solutions Architect - Optimisation (UK & Germany)

About The Role Senior Solutions Architect: build and deliver quantum optimisation solutions for customer applications while collaborating across delivery leads, application developers, and other solutions architects within the professional services department. Additionally work with internal teams and external customers to review business problems, map problems to D-Wave solutions, formulate solutions, build and test prototypes, and build applications run in production for customers. What You’ll Do 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. About You Masters, PhD, or equivalent in Operations Research, Data Science, Mathematics, Statistics, Computer Science, Physics, or related technical field preferred. 5+ years of experience with Python; knowledge of NumPy, Pandas, Scikit-learn, and Networkx is an extra bonus. Experience working directly with external customers (ideally in a consulting role) to identify requirements and consult on solutions to complex business problems. Experience using leading optimisation tools (e.g., CPLEX, Gurobi, etc.). 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 optimisation solution techniques. Experience with version control software such as Git. Experience building applications to solve complex business problems for customers in a production environment. Collaborative mindset and solid interpersonal skills. Passionate for writing state-of-the-art Python 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. It is D-Wave Systems Inc. policy to provide equal employment opportunity (EEO) to all persons regardless of race, color, religion, sex, national origin, age, sexual orientation, gender identity, genetic information, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state/provincial, local law. #J-18808-Ljbffr D-Wave