You and your teammates will own every part of the engineering mission of cuEST - from idea to shipped CUDA-X library.You will architect, implement, optimize, productize, and deploy production-grade GPU solutions for quantum chemistry library primitives in a collaborative environment.This includes technical leadership of specific code modules and general team-based contribution to engineering projects.Collaborating across broader engineering, product, and program organizations, you will take the developed products to market with a strong focus on partner and customer engagement.Engaging with the broader quantum chemistry community, contributing knowledge that helps drive adoption of GPU-accelerated quantum chemistry and carrying new developments from the field back to your teammates to accelerate our work.Requirements10+ years of experience in developing high performance numerical methods for scientific computing5+ years of experience in developing production-grade quantum chemistry packagesPhD or equivalent experience in computational physics, computational chemistry, computer science, or related technical fieldsExpert knowledge of GPU software development and performance optimizationProficiency in C++, CUDA, and common quantum chemistry toolsAdept with lean team-based software engineering, including familiarity with the use of agentic AI to boost the speed and quality of delivered software productsHard SkillsC++CUDAGPU software developmentperformance optimizationnumerical methodsscientific computingquantum chemistry packageslean software engineeringagentic AISoft Skillstechnical leadershipcollaborationcustomer engagementknowledge contributionCertifications & QualificationsPhD in computational physicsPhD in computational chemistryPhD in computer scienceIndustry Keywordsquantum chemistryGPU-accelerated computingproduction-grade solutions #J-18808-Ljbffr
