Director, AI for Productivity

at Nvidia
📍 Santa Clara, United States
USD 284,000-425,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 4 Docker @ 7 ElasticSearch @ 4 Go @ 4 MySQL @ 4 DevOps @ 4 Python @ 4 SQL @ 4 Java @ 4 NoSQL @ 4 Distributed Systems @ 7 Machine Learning @ 3 Hiring @ 4 MongoDB @ 4 SRE @ 4 API @ 7

Details

NVIDIA is hiring an engineering director in its Infrastructure, Planning and Process Team (IPP) to accelerate AI adoption and agentic developments across various engineering and non-engineering workflows within the company. IPP is a global organization that works with teams such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure and productivity needs.

As an engineering director on AI Productivity, you will be responsible for building industry insights into AI tools and technologies and developing state-of-the-art agents for NVIDIA. You will design and implement tools and software solutions that leverage the latest LLMs and agentic AI to automate workflows and enhance the productivity of engineers across software development, DevOps, and Site Reliability Engineering (SRE) activities. You will own the roadmap and execution to use AI to improve NVIDIA productivity at scale.

Responsibilities

  • Build industry insights into AI and agent development.
  • Accelerate NVIDIA productivity by developing state-of-the-art agentic systems to automate workflows.
  • Produce blueprints as well as tools and services for NVIDIA AI developers.
  • Work with software architects and developers in internal and external development teams.
  • Develop roadmap and run execution with speed.
  • Work across organizational boundaries to enhance alignment and productivity between teams.

Requirements

  • BE (MS preferred) or equivalent experience in Electrical Engineering / Computer Science with 15+ years of overall work experience and 8+ years of management experience.
  • Strong familiarity and hands-on experience with Large Language Models (LLMs), Machine Learning (ML), and agentic AI techniques.
  • Hands-on experience leveraging LLMs and implementing agentic AI for various workflows.
  • Expert programming ability in Python, Go, or Java.
  • Experience with SQL/NoSQL database systems such as MySQL, MongoDB, or Elasticsearch.
  • Deep understanding of enterprise-scale software development, including distributed systems, microservice architectures, REST APIs, Docker containers, and related technologies.
  • Ability to effectively work across organizational boundaries and manage stakeholders.

Ways to stand out

  • Proactively track AI tool and technology trends, build insights, and collaborate with vendors early to address feature gaps before NVIDIA adoption.
  • Prior experience designing and launching large software projects at enterprise scale with AI.
  • Strong track record on team and stakeholder management across multiple organizations.

Compensation & Benefits

  • Base salary range: 284,000 USD - 425,500 USD (determined based on location, experience, and pay of employees in similar positions).
  • Eligible for equity and company benefits (see NVIDIA benefits).

Other

  • Applications for this job will be accepted at least until December 16, 2025.
  • NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.