We are looking for a Machine Learning Engineer, Data Scientist and Solution Architect with experience in training and deploying Machine Learning (ML), Deep Learning (DL) models. As part of the Auto Solution Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in deep learning and machine learning. This role offers an excellent opportunity to expand your career in the rapidly growing field of machine learning while empowering the world's most successful automotive and autonomous driving cars companies.NVIDIA is building the world’s leading AI company, and we are looking for an experienced AI Solutions Architect to help assist customers with adoption of NVIDIA's full-stack hardware and software technologies as well as building and deploying solutions around Machine Learning (ML) and Deep Learning (DL), data analytics and other GPU-accelerated technologies. As part of the Auto Solutions Architecture team, we work with some of the most innovative computing hardware and software technologies focused on Automotive compute workloads including Autonomous Vehicles. A Solutions Architect is the first line of technical expertise between NVIDIA and our Auto customers so you will engage directly with developers, researchers, and data scientists with some of NVIDIA’s most strategic technology customers as well as work directly with business and engineering teams on product strategy as it pertains to these customers. We are looking for a Solutions Architect to help drive end-to-end technology solutions applying NVIDIA’s full set of technologies based on business needs of customers. Join us in this exciting endeavor!What you'll be doing:Provide technical mentorship to partners and customers.Engage with customer technical teams on field trials.Help in draft requirements for missing features to unblock progress at customers/partners.Educate customers on new NVIDIA Enterprise AI technologies and platforms.Develop and demonstrate solutions based on NVIDIA’s groundbreaking AI software and hardware technologies to customers. Perform in-depth analysis and optimization of state-of-the art DL models to ensure the best performance on current- and next-generation GPU architectures.Build collateral (notebook/ blog) applied to Automotive industry use-cases such as AV model training and validations, LLMs, recommenders, video encoding/decoding etc. Work closely with customer's AV developers.Collaborate with key industry partner/customer developers to provide AI/ML solutions applied to their products and technologies.Partner with NVIDIA Engineering, Product, Sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations.What we need to see:MS/PhD in Computer Science, Electrical/Computer Engineering, Applied Statistics, Physics, Mathematics, or other Engineering fields or equivalent experience.5+ years of hands-on proven industry experience in Autonomous Vehicles, Data Science, Deep Learning.Experience writing code in Python, or C++.Hands-on experience with Docker and Kubernetes.Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, XGboost, Scikit-learn, Spark, RAPIDS.Ability to communicate your ideas/code clearly through blog posts, kernels, GitHub.Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams).Effective verbal/written communication, and technical presentation skills.Self-starter with a vision for growth, real passion for continuous learning and sharing findings across the team.Ways to stand out from the crowd:Skilled in deploying ML/DL models at scale on cloud computing clusters with GPUs.Development experience with NVIDIA software libraries and GPUs, and profiling.Expertise in development of AV ML/DL models.Familiar with end-to-end AV development cycle.Knowledge of CICD and MLOPS technologies for building computer vision, NLP, or data analytics applications.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.
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