Solution Architect, Quantum Computing

We are now looking for a Solutions Architect, responsible for programs to help accelerate the adoption of NVIDIA's technology by major covering Quantum Computing, Accelerated Analytics, Simulation, HPC, Deep Learning or Machine learning technologies. Your primary focus is on Quantum Computing engagements with researchers and developers at universities, research institute and labs. You will be working cross functionally within our organization and will be ensuring a positive experience integrating NVIDIA cuQuantum SDK into customer's workflows.NVIDIA cuQuantum is an SDK of optimized libraries and tools for accelerating quantum computing workflows. With NVIDIA Tensor Core GPUs, developers can use cuQuantum to speed up quantum circuit simulations based on state vector and tensor network methods by orders of magnitude.What you’ll be doing:Supporting Higher Education and Research customers and driving research/influencing/new business in those customers and academic collaborations.Co-work with professors/researchers on their GPU computing research works and assisting customer in building innovative solutions.Closely follow academic researchers and developments integrating NVIDIA technology into Quantum Computing, AI and HPC architectures for sophisticated applications.We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and do what it takes to make our customers successful.What we need to see:Master or Ph.D. degree in Physics, Mathematics, Computer Science, Electrical or Computer Engineering or equivalent experience (Ph.D. preferred)Background in fault-tolerant quantum computing, quantum algorithms, quantum error correction, and/or benchmarking of quantum systems3+ years of related experienceExperience with Python, C/C++, or similar languagesProven ability to engage and collaborate across organizationsWays to stand out from the crowd:Background in Quantum ComputingExperience with CUDA and GPU ComputingHave lots of experience working with the academia and good publication indexNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you are creative and autonomous, we want to hear from you!NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.