Posted Aug 16

Nvidia is hiring a
Senior Software Engineer, Data Science - LLM MLOps Platform

US, CA, Santa Clara • 2 Locations • 2 Locations
Full time

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by phenomenal 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 will be immersed in a diverse, encouraging 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 data cleaning and personally identifiable information (PII) removal Solutions by applying data science and related technologies.

  • Build and Operate sophisticated ML data analytics services to actively perform PII detections and removal, and policy recommendations.

  • Collaborate across high-performance software engineering teams to develop innovative ML solutions using NVIDIA Deep Learning Software and GPU stack.

  • Showcase leadership and lead the product development roadmap to align with business priorities and vision.

  • Build high performance data pipelines of Big Data solutions in real time for inferencing, training and ETL.

  • Utilizing Data Engineering, ETL, machine learning technologies for training, inferencing and deployment of ML models into production applications.

What we need to see:

  • Masters in Computer Science, Electrical Engineering or equivalent experience

  • 5+ years of experience architecting, crafting and implementing software solutions, preferably in product development space and 3+ years hands-on experience in distributed computing, data engineering and data analytics

  • Experience using end-to-end MLOps platforms such as Kubeflow, MLFlow, AirFlow

  • Experience with data pipelines/analysis/visualization tooling such as PowerBI, Elastic stack, Logstash, Kibana, Kafka, Grafana, Splunk, Pandas, Message brokers, Data modeling etc.

  • Software development experience in any of the following core languages/frameworks: Python, Java, GO, Spring/Hibernate

  • Knowledge of parallel programming architectures or experience programming distributed systems.

  • Proven experience with log management, data analysis, data query approaches and dashboarding.

  • Experience with big data and related technologies (e.g. Hadoop, Spark, Cassandra).

  • Background with streaming architectures (e.g. NiFi, Streamz, ReactiveX) and pub/sub systems (e.g. Kafka, Pulsar)

  • Solid understanding of Amazon Web Services, Kubernetes, Docker is a plus

Ways to stand out from the crowd:

  • ML/DL/Cloud certifications

  • Knowledge of Cloud Based solutions like Kendra, SageMaker, Auto-ML, Big Query, RedShift, Glue, Athena, FireHose etc.

  • Excellent communication and teamwork skills

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 innovative 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!

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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