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Senior Product Manager - AI Infrastructure

Define and execute the product strategy for AI inference software solutions
Santa Clara, California, United States
Senior
$208,000 – 379,500 USD / year
11 hours agoBe an early applicant
USA Jobs

USA Jobs

A platform offering a comprehensive database of federal employment opportunities across various government agencies in the United States.

Product Manager For Ai Factories

To bring AI to life, LLMs need to be trained and then deployed for inference running inside applications in the cloud, datacenter or at the edge. NVIDIA is at the forefront helping advance the latest research and product improvements to make this a reality for everybody.

To keep pace with this multifaceted field, we seek a product manager who understands cloud native enterprise software and its ecosystem. We need a self-starter to continue to grow this area and work with customers, to define the future of AI Factories. We're looking for the rare blend of both technical and product skills and passion about groundbreaking technology.

If this fits, we would love to learn more about you!

What You'll be Doing:

Develop product strategy and go-to-market plans

Channel and prioritize customer feedback to improve NVIDIA products

Evaluate customer use-case and workflows to distill insights from early customer engagements into practical business strategies

Collaborate with NVIDIA engineers and product managers, to build product-based roadmaps

Work closely with various NVIDIA product teams such as NVIDIA vGPU, NVIDIA Network Operator, NVIDIA GPU Operator, Confidential Computing Run.AI and NVIDIA NIM Operator to define easy to use integrations

Define important product metrics to continuously monitor to ensure NVIDIA leadership over competitor's offerings

What We Need to See:

BS or MS degree in Computer Science, Computer Engineering, or similar field or equivalent experience

12+ years of product management, or similar, experience at a technology company

3+ year of experience in building inference software

Hands-on experience with Kubernetes

Strong communication and interpersonal skills

Strong program management skills - very organized with the ability to multitask and prioritize in a demanding environment

Ways to Stand Out from the Crowd:

Understanding of modern AIOps architectures and an intuition for how to optimize their performance, particularly for inference

Experience in building products for regulated industries

Experience in building Cloud Native based solutions

Successful management of technical products throughout their lifecycle

Direct development experience with NVIDIA software, hardware and SDKs

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 3, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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Senior Product Manager - AI Infrastructure
Santa Clara, California, United States
$208,000 – 379,500 USD / year
Product
About USA Jobs
A platform offering a comprehensive database of federal employment opportunities across various government agencies in the United States.