Senior Systems Software Engineer - NV Cloud Functions

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

Lead the implementation of key features for a serverless AI deployment platform and translate user challenges into product requirements. Mentor other engineering teams on AI/ML workloads at scale and produce reference architectures for customer use cases.

Requirements: Requires a Master's, PhD, or equivalent in Computer Science or a related field with at least 2 years of experience in Python, Rust, Golang, or Bash. Candidates must have expertise in AI/DL frameworks and a strong understanding of CPU and GPU architectures.

Key Skills: Python, Rust, Golang, Linux, Bash, Deep Learning, Machine Learning, SGLang, vLLM, TensorRT-LLM, Dynamo, CPU Architecture, GPU Architecture, Kubernetes, Distributed Systems, Platform Engineering

Benefits: Equity, Comprehensive benefits package