NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.What you'll be doing:Build machine learning workflows for large language model (LLM) projectsWork together with NVIDIA's MLOps platform to build plugins and visualization tools for effective data analysisBring up research projects into production workflows. Work with researchers to build the entire MLOps process: data acquisition & ingestion, curation, labeling, preparation, training, evaluation and system validation.Follow the best MLOps practices of automation, monitoring, scale and data privacyDevelop a unified MLOps methodology that LLM teams can follow to be highly productive and deliver trustworthy AI productsContribute to the MLOps platform and develop tools to help ML teams be more effective.What we need to seeYou have a Masters in Computer Architecture, Computer Science, Electrical Engineering or equivalent experienceOverall 6+ years of experience in architecting, designing and implementing software solutions, preferably in Distributed Computing, Data Engineering and Data Analytics.Software development experience in Python, GO and scripting languages like ShellStrong development experience with Postgres, SQL, MongoDB, redisExperience using end-to-end MLOps platforms such as Kubeflow, MLFlow, AirFlowExperience with data pipelines/analysis/visualization tooling such as PowerBI, Elastic stack, Logstash, Kibana, Kafka, Grafana, Splunk, Pandas, Message brokers, Data modeling etc.Knowledge of parallel programming architectures or experience programming distributed systems.Working knowledge of Amazon Web Services, Kubernetes, Docker is a plus.Knowledge of Cloud Based solutions like Kendra, SageMaker, Auto-ML, Big Query, RedShift, Glue, Athena, FireHose etc.Ability to lead technical projects from problem to solution.Willing to take action and have strong analytical skills.Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.Excellent communication and presentation abilities, capable of conveying complex technical concepts to non-technical audiences.Leadership skills with the ability to inspire and motivate team members toward common goals.Demonstrates a behavior that builds trust: modesty, transparency, respect, intellectual honesty.With highly competitive salaries and a comprehensive benefits package, Nvidia is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Large Language Models. If you're a creative engineer with a real passion for robust and enjoyable user experiences, 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.
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