Senior LLM Systems Engineer, NeMo Microservices Platform
NVIDIA
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.
We are looking for a Senior LLM Systems Engineer to help build our NeMo Microservice Platform. Our team is building the primitives to let software engineers training and deploying AI at scale. We are dedicated to developing speech and NLP technologies that tackle real problems. We contribute to all steps of the machine learning lifecycle: from conceptualization, to applied research, engineering for optimized inference, and deployment.
What you'll be doing:
Development of distributed cloud applications, and microservices and platform able to scale up to huge models
Creating microservices for task-specific AI cloud services
Implementing core infrastructure for cloud-native AI evaluation
Improving service stability, observability and reliability
Relentlessly pursue speed of light performance under high load
What we need to see:
BS, Masters, or equivalent experience in computer science, computer architecture, or related field
5+ years of experience
Ability to work independently, define project goals and scope, interact directly with open source community, and manage your own development effort
Experience implementing microservices and cloud-native applications using HTTP REST, gRPC, protobuf, JSON and related technologies
Understanding of performance, security and reliability in complex distributed infrastructure
Excellent Python programming and software design skills, including debugging, performance and service health analysis, and test design.
Ways to stand out from the crowd:
Background with the enterprise software life cycle
Experience in deep learning research, particularly model evaluation techniques
Experience with Rust or Golang
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.