Senior Solutions Architect

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, or related technical field preferred
A professional with 5+ 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 and techniques including Gurobi, CPLEX, genetic algorithms, and simulated annealing
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 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