Are you a computational scientist, engineer or data scientist passionate about working on the frontiers of artificial intelligence and high performance computing (HPC)? Do you have the passion and desire to help others be successful? If this sounds like you, we should talk. NVIDIA is searching for a Solutions Architect to work with our customers in higher education and research. Our Solutions Architects are drawn from elite developers and scientists who enjoy working with the latest in accelerated computing technology. We are the primary technical contacts for our customers, and engage deeply with scientific researchers, application developers, and research computing teams. We need people who can develop positive relationships with customers, learn their requirements and work to bring solutions that enable their success.Your primary responsibilities will be to lead HPC and AI technical customer engagements at universities and research institutions. You should be comfortable working in a dynamic environment, and have experience with HPC, deep learning and GPU technologies. Your ability to work independently is important, and you will rely upon your excellent interpersonal skills during customer engagements. We expect you to work collaboratively across the entire customer team, including sales, program management and business development. Some travel to conferences and customers may be required.What you’ll be doing:Partner with our business / account teams working with university customers to develop a keen understanding of their goals, strategies, and technical needs and help to define and deliver high-value solutions based on NVIDIA's accelerated computing platform.Develop and demonstrate solutions using NVIDIA’s platforms for innovative ML/DL, data science, and HPC.Stay abreast of the state of the art in scientific and AI computing ecosystems.Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.Provide customer requirements to engineering to foster product and platform improvements.What we need to see:5+ years relevant work experience.MS or PhD in Engineering, Mathematics, Physical Sciences, or Computer Science or equivalent experience.Excellent communication skills particularly in the presentation of highly technical material. Must enjoy interacting with forward-thinking people, life-long learning, and staying at the forefront of the technology ecosystem.Full-stack scientific computing experience including software development in scientific programming languages, such as C/C++, Python, CUDA, OpenACC, OpenMP and MPI.Hands-on experience with modern Deep Learning software architectures and frameworks including Tensorflow, PyTorch or others.Experience working with supercomputing and technical computing customers.Strong analytical and problem-solving skills.Self-motivated and independent with the ability to multi-task effectively with minimal day-to-day direction.Ways to stand out from the crowd:Networking/Infiniband experience.GPU optimization experience.ARM CPU experience.Experience programming embedded platforms e.g., NVIDIA Jetson or similar.Background using and managing large-scale HPC resources, e.g., Slurm, PBS, or cloud resources, e.g., Docker, Kubernetes.Experience in data science methods and analysis.NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and passionate people in the world working for us. If you're creative and autonomous, we want to hear from you.The base salary range is $144,000 - $333,500. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits.NVIDIA is committed to fostering 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.
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