Optimization Scientist (Quantum inspired technologies) - Quarki technologies

Key Responsibilities

• Develop advanced optimization algorithms leveraging quantum-inspired methodologies to solve complex problems in logistics, supply chain management, and resource allocation
• Collaborate with multidisciplinary teams including senior researchers and junior research interns to refine and implement algorithmic solutions
• Design and optimize computational frameworks using Python, C, and C++ to enhance algorithmic performance and scalability
• Conduct independent research to explore intersections between quantum and classical optimization approaches
• Publish findings in peer-reviewed journals and present results at conferences or internal seminars
• Mentor junior researchers and interns in algorithmic development and optimization techniques

Requirements

• Ph.D. in a STEM discipline, preferably computational physics; postdoctoral experience is highly desirable
• Strong expertise in convex optimization methodologies and algorithmic design
• Proficiency in programming languages such as Python, C, and C++
• Ability to work independently while contributing effectively to a collaborative research environment
• Willingness to engage at the intersection of quantum and classical optimization approaches