Senior Manager, Artificial Intelligence - Machine Learning Platform

at Nvidia

📍 Santa Clara, United States

USD 272,000-488,800 per year

SENIOR

✅ On-site

Used Tools & Technologies

HPC

Required Skills & Competences
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.

Machine Learning @ 4 Leadership @ 7 Team Management @ 7 Communication @ 4 Networking @ 7 AI @ 4

Details

We are seeking a reasoned engineering leader in the area of Artificial Intelligence/Machine Learning Platforms to lead the development and management of a comprehensive suite of tools and services that support the entire lifecycle of AI/ML projects. This role is critical for enabling internal researchers to use very large-scale systems for training foundational models with flexibility and efficiency.

Responsibilities

Lead the strategic direction, development, and continuous improvement of the AI/ML platform to meet the needs of internal researchers for large-scale model training and deployment.
Optimize efficiency and resilience of ML workflows, including data ingestion, preprocessing, checkpointing, model training, deployment, and monitoring.
Lead and mentor a team of highly skilled engineers, fostering a collaborative and high-performance culture.
Collaborate with data scientists, researchers, and IT to understand needs and ensure the platform provides necessary tools and resources.
Drive innovation and efficiency by exploring and implementing new technologies and methodologies to enhance the AI/ML ecosystem.
Maintain a strong customer focus to ensure the platform meets evolving user needs and delivers high value.

Requirements

12+ years overall experience in AI/ML infrastructure, with a proven track record managing large-scale AI/ML projects and platforms.
6+ years experience leading highly technical, collaborative teams.
Bachelor's degree or equivalent experience.
Deep understanding of AI/ML lifecycle management, high-performance computing, niche hardware, storage, and networking.
Strong leadership and team management skills, with experience leading multi-functional teams and sophisticated projects.
Ability to develop and implement a strategic vision for an AI/ML platform aligned with organizational and researcher needs.
Excellent communication and interpersonal skills for effective collaboration with diverse stakeholders.
Strong analytical and problem-solving abilities with a focus on delivering innovative solutions.

Ways to stand out

Experience developing and leading AI/ML platforms in a research or academic environment.
Familiarity with cloud-based AI/ML platforms and infrastructure.
Proven ability to drive efficiency and innovation within technical teams and projects.

Compensation & Benefits

Base salary ranges provided by location and level:
- Level 4: USD 272,000 - 431,250 per year
- Level 5: USD 320,000 - 488,750 per year
Eligible for equity and NVIDIA benefits (see company benefits pages referenced in the original posting).

Other information

Location: Santa Clara, CA, United States.
Employment type: Full time. Expected hours not specified.
Applications accepted at least until June 4, 2026.
NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.