Director, Software Engineering

at Nvidia

USD 292,000-442,800 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Communication @ 6 Distributed Systems @ 6 GPU @ 4 HPC Kubernetes @ 4 Leadership @ 6 Observability @ 6 Security @ 4 Technical Leadership @ 6

Details

Own the enterprise platforms that enable the development, deployment, operation, and scaling of AI agents and GPU-accelerated workloads for NVIDIA employees. Partner with teams across NVIDIA and enterprise partners to deliver reliable, secure, and scalable capabilities that support innovation and broaden the adoption of NVIDIA technologies.

Responsibilities

Define platform strategy, priorities, targets, and execution plans aligned with NVIDIA’s business goals.
Lead runtime engineering for the AI Factory, providing scalable AI inference and secure environments for agents to run.
Hire and retain engineering talent across all layers of the agentic experience stack.
Use and integrate NVIDIA products and services into developer experiences.
Drive architecture and operational excellence across reliability, performance, security, cost, and developer experience.
Build high-performing teams and influence technical strategy with senior leaders across NVIDIA.

Requirements

Bachelor’s degree in computer science or a related field, or equivalent experience.
12+ years of experience building large-scale software or infrastructure, including 8+ years leading engineering teams.
Deep expertise in distributed systems, cloud platforms, databases, and production operations.
Strong product judgment with a record of delivering platforms that achieve meaningful adoption.
Exceptional technical leadership, communication, and cross-functional influence.

Preferred Qualifications

Experience scaling GPU-accelerated inference platforms on Kubernetes.
Success leading enterprise modernization programs.
Expertise in observability and FinOps.

Compensation and Benefits

Base salary: USD 292,000–442,750 per year, determined by location, experience, and compensation for similar positions.
Eligible for equity and benefits.
Applications will be accepted at least until August 28, 2026.