Senior LLM Systems Engineer, NeMo Microservices Platform

NVIDIA; United States; Remote; USD 148,000 - 288,000; Full time

Job summary

NVIDIA is seeking a Senior LLM Systems Engineer to enhance their NeMo Microservice Platform. This role involves developing cloud applications and microservices for AI, requiring strong Python skills and experience in distributed systems. Join a diverse team dedicated to innovation in AI technologies.

Benefits

Equity options

Comprehensive benefits package

Qualifications

• 5+ years of experience in relevant field.
• Ability to work independently and manage development efforts.
• Experience with distributed infrastructure performance, security, and reliability.

Responsibilities

• Develop distributed cloud applications and microservices for AI.
• Implement core infrastructure for cloud-native AI evaluation.
• Improve service stability and performance under high load.

Skills

Python programming

Software design

Microservices

Cloud-native applications

Performance analysis

Service health analysis

Education

BS or Masters in Computer Science or related field

Tools

HTTP REST

gRPC

protobuf

JSON

Job description

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

The base salary range is 148,000 USD - 287,500 USD. 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 accepts applications on an ongoing basis.

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