SCO Operations Research Engineer

Company Description
Join a multibillion-dollar global company that brings together amazing technology, people, and operational scale to become a powerhouse in the memory industry. Headquartered in Rancho Cordova, California, Solidigm combines elements of an established, successful technology company with the spirit, agility, and entrepreneurial mindset of a start-up. In addition to the U.S. headquarters and other facilities in the U.S., the company has international presence in Asia, Europe, and the Americas. Solidigm will continue to lead the world in innovating new Memory technologies with aspirations to be the #1 NAND memory company in the world. At Solidigm, we view problems as opportunities to define innovative solutions that hold the power to change the world and unleash the potential technological needs that the future holds. At Solidigm, we are One Team that fosters a diverse, equitable, and inclusive culture that embraces individual uniqueness and empowers us to bring our best selves to deliver excellence in support of Solidigm's vision and mission to be the go-to partner for optimized data storage solutions. You can be part of the takeoff of an innovative business that develops cutting-edge products, delivers strong business value for customers, provides an engaging workplace for its employees, and serves a greater impact on the world. This is a golden opportunity for the right applicant to join us and help design, build, and lead Solidigm. We want a diverse team of dedicated professionals who will not just be Solidigm team members but contribute to how we shape the future of the organization. We are seeking applicants who will grow and thrive in our culture: be customer inspired, trusting, innovative, team-oriented, inclusive, results driven, collaborative, passionate, and flexible.
Job Description
Job Description
On any given day you are likely to find yourself starting off by participating in a daily scrum meeting, followed by:

• Developing / maintaining / owning scalable software systems that incorporate optimization and visual analytics to solve complex global supply chain problems.
• Proposing innovative modeling approaches or algorithms and reviewing the designs or code of other engineers.
• Collaborating with other Operations Research Engineers, data Scientists, data engineers, business architects, or supply chain analysts to provide high quality decision support through Operations Research methods.
• Developing and maintaining documentation for the decision support systems.
• Gathering requirements on new decision support problems and managing continuous improvement projects through frequent interaction with customers of decision support tools.

High-Level Responsibilities:

• Design, develop, and document system wide solutions applying engineering, mathematical, simulation and optimization models to drive solutions to complex manufacturing problems.
• Identify and solve highly complex problems in supply chain, operations, decision science and distribution network problems. Requires a thorough understanding of supply chain and knowledge to develop software applications of complex engineering models and apply them to identify and drive solutions.
• Build, develop, validate, and apply mathematically based decision algorithms, heuristics, optimization, and simulation models and tools.
• Uses predictive modeling, statistics, machine learning, data mining, and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data.
• Work closely with the business units to identify root causes, define the strategic and tactical needs, and drive the appropriate business and technical solutions.
• Team, interpersonal, analysis and presentation skills are required to lead and manage projects, and to influence and work within varying levels of customer management and decision bodies.
• Coaching and mentoring other team members.
• Responsible for automation applications and/or infrastructure including development of software applications.

Qualifications:

• BS and/or MS in Operations Research, Industrial Engineering, Manufacturing, Computer Science, or equivalent field like Manufacturing, Computer Science, Data Science, or Supply Chain
• 5 or more years of development in IBM CPLEX Optimization Programming Language (OPL) or related programming tools like Concert, Gurobi, etc
• Professional experience with solving optimization problems with (Linear Programming, Mixed Integer Programming, Constraint programming, etc.).
• 5 or more years of development in Python (or similar Object-Oriented Programming language)
• Professional Experience working with large datasets, and proficient with SQL, SSMS (SQL Server)
• Experience in developing and maintaining Operations Research optimization models for multi-echelon supply chain organizations.
• Experience developing software architectures spanning multiple technologies and languages.
• Experience proposing innovative modeling approaches or algorithms.
• Expert in creating, modifying, and reverse engineering complex stored procedures and user defined functions that will be used in critical Planning applications.
• Expert in mathematical optimization and decomposition of complex problems for custom solutions
• Able to understand business requirements, develop systems, and managing continuous improvement projects.
• In Depth knowledge of Supply Chain and Supply planning concepts and should have worked on integrating custom or enterprise supply planning systems
• Excellent verbal and written communication skills
• Should be great team player, problem solver with critical thinking.
• Should have working experience in Agile methodology and SDLC phases and should be able to deliver in sprints.
• Experience leading projects, meeting committed timelines, and communicating with customers and stakeholders.

Preferred Qualifications:

• Experience putting emerging ideas into practice through rapid experimentation and prototyping.
• Experience as part of a project team & ability to work under pressure while managing competing demands and tight deadlines.
• Experience in semiconductor Supply Chain Operations or Supply Chain Manufacturing
• Financial knowledge including cost, capital depreciation and ROI calculations.
• Data analytics and visualization experience (SQL, Tableau, Power BI, etc.)
• Expert in mathematical optimization and decomposition of complex problems for custom solutions
• Project management or agile scrum experience

Lean, six sigma experience