Deep Learning Solutions Architect

We are looking for a Machine Learning Engineer/Data Scientist or High Performance Computing (HPC) individual with experience in deploying GPC, Machine Learning (ML), Deep Learning (DL) models. As part of the Solutions Architecture team, we work with the most exciting customers driving the latest deep learning and machine learning breakthroughs. This role offers an excellent opportunity to build your career in the rapidly growing AI expertise while enabling the world's most successful companies. Join us in this endeavor!What You’ll Be Doing:Develop and demonstrate solutions based on NVIDIA’s ground breaking ML/DL/HPC, data science software and hardware technologies to customers. Perform in-depth analysis and optimization of state-of-the art ML models to ensure the best performance on current- and next-generation GPU architecturesWork directly with client Data Scientists and developers on focused issues or projectsBuild collateral (notebook/ blog) applied to Finance industry use-cases such as Generative AI, recommender, GAN, GNN, monte-carlo, Quantitative Finance, etc. by working closely with customers.Collaborate with key industry partner/customer developers to build GPU-accelerated solutions applied to their products and technologiesPartner with NVIDIA Engineering, Product Engineering, and Sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluationsWhat We Need To See:BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience)5+ years experience as an ML/Software Engineer with a proven track record in writing code in Python, C++Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, SparkAbility to communicate your ideas/code clearly through blog posts, GitHubEnjoy working with multiple levels and teams across organizations (engineering/research, product, sales, and marketing teams)Effective verbal/written communication and technical presentation skillsSelf-starter with a passion for growth, a real enthusiasm for continuous learning, and sharing findings across the teamWays To Stand Out From The Crowd:Skilled in deploying ML/DL models at scale on public cloud computing clusters in productionDevelopment experience with NVIDIA software libraries and GPUsKnowledge of MLOps technologies such as Docker/containers, Kubernetes, KubeFlow, data center deployments etc. Experience working with enterprise developers building AI, HPC, or data analytics applicationsWe make extensive use of conferencing tools, but occasional travel is required for local on-site visit to customers and data science conferences. We are open to remote work locations. We look forward to have you join our team!The base salary range is $144,000 - $270,250. 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.#deeplearning