Senior Solutions Architect - Optimisation

Senior Solutions Architect - Optimisation (UK)

D-Wave (NYSE: QBTS), D-Wave is a leader in the development and delivery of quantum computing systems, software, and services. We are the world’s first commercial supplier of quantum computers, and the only company building both annealing and gate-model quantum computers. Our mission is to help customers realize the value of quantum, today. Our quantum computers — the world’s largest — feature QPUs with sub-second response times and can be deployed on-premises or accessed through our quantum cloud service, which offers 99.9% availability and uptime.

More than 100 organizations trust D-Wave with their toughest computational challenges. With over 200 million problems submitted to our quantum systems to date, our customers apply our technology to address use cases spanning optimisation, artificial intelligence, research and more. Learn more at

You can read more about our company and our innovations in the pages of The Wall Street Journal, Time Magazine, Fast Company, MIT Technology Review, Forbes, Inc. Magazine, Wired and across many whitepapers.

At D‑Wave, we’re helping customers realize the value of quantum computing today and are shaping the quantum‑driven industrial and societal advancements of tomorrow.

An exciting opportunity for a Senior Solutions Architect! In this role, you will build and deliver quantum optimisation solutions for customer applications while working with delivery leads, applications developers, and other solutions architects within the professional services department.

Additionally, you will work with our internal teams and external customers to review customer business problems, map these problems to D‑Wave’s hybrid solvers and advanced quantum systems, formulate solutions, build and test prototypes, and build applications that run‑in production for our customers.

• 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
• Organise, prepare, and present technical information in a clear and effective manner
• Participate in the development of an inclusive, helpful, fun environment

• Masters, PhD, or equivalent in Operations Research, Data Science, Mathematics, Statistics, Computer Science, Physics, or related technical field (preferred)
• A professional with 5+ years experience with Python. Knowledge of Num Py, 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 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 modelling 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 about 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

• We look at the future and say “why not”; we see possibilities…