Senior Front-End Engineer, LLM MLOps Platform

About NVIDIA

Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization.

The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

GPU deep learning ignited modern AI the next era of computing with the GPU acting as the brain of computers, robots, autonomous cars and conversational AI that can perceive and understand the world.

Today, we are increasingly known as the AI computing company. We're looking to grow our company, and build our teams with the smartest people in the world.

Join us at the forefront of technological advancement.

Read the overview of this opportunity to understand what skills, including and relevant soft skills and software package proficiencies, are required.

Role Overview

NVIDIA is building world-class artificial intelligence tools, from autonomous vehicles to medical imaging to speech recognition / synthesis to large language models.

In order to do that, we also need a groundbreaking AI infrastructure platform that streamlines the end-to-end machine learning operations pipeline from data acquisition all the way to training and deployment.

NVIDIA's NeMo MLOps platform makes it easy to scale up and mature ML applications so that teams don't have to reinvent the wheel and can focus on innovating.

We're looking for curious, engaged, and collaborative engineers to help us build a suite of tools targeted at ML operations.

If you're excited by the opportunity to work with teams across the entire spectrum of the machine learning process, and if you enjoy getting into the nitty-gritty of how to translate user needs into sophisticated applications, this might be the role for you!

What You’ll Be Doing :

• Collaborate with multiple AI teams in various fields to understand their needs and translate them into product requirements.
• Develop web-based UIs that improve developer efficiency and productivity.
• Rapidly develop and iterate on software in response to user feedback.
• Take on difficult, ambitious problems and bring clarity and definition to amorphous questions.
• Create smooth, easy-to-use interfaces driven by user-centered research and design.
• Contribute to the adoption of frameworks, standards, and new technologies.

What We Need to See :

• Bachelors in Computer Science or proven track record of building web-based applications at scale or equivalent experience.
• 7+ years of experience.
• Excellent written and oral communication skills for creating and improving documentation, engaging stakeholders, and building team consensus.
• Independence, self-sufficiency, and a strong sense of ownership and accountability over your work.
• High standards of excellence and a drive for continuous learning and improvement.
• An understanding of the importance of prioritization and how to balance competing needs.
• Dedication to building rich, user-centric applications.
• Cross-cultural competency and sensitivity for working with interdisciplinary, international teams.

Ways to Stand Out from the Crowd :

• Masters in Computer Science.
• Expertise in modern frontend frameworks such as Angular, React, Vue, or Lit.
• Background in Typescript, Javascript and Go.
• Expertise in the latest web technologies such as Web Components, Shadow DOM, and ES Modules.
• Experience delivering software using agile methodology and CI / CD practices.

Compensation and Benefits :

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.

Diversity and Inclusion :

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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