Staff Optimization Scientist, Walmart Advanced Systems & Robotics

• PhD from an internationally recognized institution in Computer Science, Operations Research, Mathematics, Statistics, Industrial Engineering or related fields with focus on optimization,
• Scientific mindset and the ability to invent, with excellent creative problem-solving skills,
• Strong programming skills in at least some Java, C/C++, Python, MATLAB, or Julia,
• Excellent teamwork and communication skills, and
• A strong publication record in top-tier conferences and journals

Desirable

• The Staff Optimization Scientist will play a crucial role in optimizing the performance and efficiency of our multi-agent robotic system
• This role focuses on developing novel resource allocation/scheduling algorithms in collaboration with engineering, control, and operations teams
• This role requires a strong technical background in operations research, e.g. , quadratic programming, conic optimization, mixed-integer programming, sequential convex programming, optimization algorithms for embedded platforms and real-time systems, combinatorial optimization, and queuing theory, as well as the flexibility and adaptability to learn and work in a dynamic, team-centric environment
• The optimization scientist is expected to propose, model, and solve scheduling, resource allocation, and task assignment problems
• We value collaboration, open-mindedness, and a passion for innovation
• The Staff Optimization Scientist will collaborate closely with the control systems teams and other cross-functional teams, including Data Science, Software Engineering, and Product Management, to enhance emulation accuracy, develop data-driven strategies, and contribute to the design and development of optimization-based algorithms using metrics to optimize system operations