Serverless AI Platform Lead Engineer — Equity

NVIDIA AI; Seattle (WA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits package

Job summary

NVIDIA AI seeks a leader to drive the implementation of features for a serverless AI deployment platform. translate user challenges into product requirements and guide cross-functional teams through the development cycle.

You will mentor other engineering teams on AI/ML workloads at scale and produce reference architectures for customer use cases, helping shape scalable, high-performance solutions across the NVIDIA ecosystem.

Qualifications

• Master's/PhD or equivalent with 2+ years experience in Python, Rust, Golang, or Bash.
• Expertise in AI/DL frameworks and a strong understanding of CPU and GPU architectures.
• Experience with serverless AI deployment platforms and reference architectures.

Responsibilities

• Lead the implementation of key features for a serverless AI deployment platform.
• Mentor other engineering teams on AI/ML workloads at scale.
• Produce reference architectures for customer use cases.

Skills

Python

Rust

Golang

Linux

Bash

Deep Learning

Machine Learning

SGLang

vLLM

TensorRT-LLM

Dynamo

CPU Architecture

GPU Architecture

Kubernetes

Distributed Systems

Platform Engineering

Education

Master's, PhD, or equivalent in Computer Science or related field

Job description

NVIDIA AI seeks a leader to drive the implementation of features for a serverless AI deployment platform. translate user challenges into product requirements and guide cross-functional teams through the development cycle.

You will mentor other engineering teams on AI/ML workloads at scale and produce reference architectures for customer use cases, helping shape scalable, high-performance solutions across the NVIDIA ecosystem.