招聘
At NVIDIA we meet customers where they are on their AI journey on our GPUs - this means we build best in class frameworks in OSS and support a robust eco-system of other OSS frameworks. As a Product Manager for AI Platform Recommender Systems, you will be responsible for building products for enabling frontier Rec Sys and Generative Recommendation Models on Nvidia systems.
As NVIDIA Product Managers, our goal is to enable researchers and operators to be successful on the NVIDIA Platform, and push the boundaries of what is possible in their research and research-to-production! Generative Recommender models are gaining momentum amongst our customers and partners. As Product Managers, we are the champions inside NVIDIA for frontier model builders looking to push the bounds of scale for current and emerging modeling paradigms on GPUs. We work directly with customers to identify key improvements, create roadmaps, and stay alert on the training/post training landscape. We also work with NVIDIA leaders to define clear product strategy, and marketing team teams to build go-to-market plans. The Product Management organization at NVIDIA is a small, strong, and impactful group. We focus on enabling deep learning across all GPU use cases and providing great products for our users. We are seeking a rare blend of product skills, technical depth, and passion to make NVIDIA great. Does that sounds familiar? If so, we would love to hear from you!
What you'll be doing:
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Create and optimize pre-training/inference and post-training frameworks for Rec Sys and Generative Recommender researchers and production model builders
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Develop product strategy, roadmaps, and go-to-market plans
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Collaborate with internal and external customers to build product-based roadmaps for the E2E ML lifecycle
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Work with leadership to align with and drive company strategy
What we need to see:
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Experience with design and scaling of training/inference post training and optimization software (Torchtitan, FSDP)
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Demonstrable knowledge of GenAI or machine learning concepts, particularly around model training, performance optimization, inference, and software development and delivery
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Experience with large scale distributed systems
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BS or MS degree in Computer Science, Computer Engineering, or similar experience (or equivalent experience)
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10+ years of technical product management, or similar, experience at a technology company
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Strong communication and interpersonal skills
Ways to Stand Out from the crowd:
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Experience leading GR systems
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GEM, TIGER
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Working on Open Source & Github-first developer products with deep customer interactions
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Knowledge of GPU architecture, HW/SW co-design, and performance profiling
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 16, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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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关于NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
员工数
Santa Clara
总部位置
$4.57T
企业估值
评价
4.1
10条评价
工作生活平衡
3.5
薪酬
4.2
企业文化
4.3
职业发展
4.5
管理层
4.0
75%
推荐给朋友
优点
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
缺点
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
薪资范围
73个数据点
L3
L4
L5
L6
L7
L3 · Product Manager IC2
0份报告
$183,722
年薪总额
基本工资
-
股票
-
奖金
-
$156,163
$211,281
面试经验
7次面试
难度
3.1
/ 5
体验
正面 0%
中性 86%
负面 14%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
常见问题
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
新闻动态
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
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NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
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NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
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NaNw ago
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
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