招聘
必备技能
Python
We are seeking a Developer Relations professional to lead hands‑on technical engagement with CSP AI engineering teams to accelerate adoption of NVIDIA software and platforms across the AI stack. This role partners directly with AI developers to enable, help optimize, and integrate NVIDIA technologies, while funneling product feedback and priorities back into NVIDIA engineering and product teams. The objective is to build durable developer relationships, scale repeatable enablement, and de‑risk execution across a rapidly growing AI organization.
What you'll be doing
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Serve as the primary technical Dev Rel interface for CSP AI engineering teams; build and maintain strong working relationships with key developer leads and stakeholders.
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Drive NVIDIA software adoption by delivering hands‑on guidance and technical support across relevant SDKs/libraries and platform integrations (e.g., model serving, training and inference optimizations).
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Develop and maintain reference implementations, sample code, and “golden path” guidance that AI teams can reuse across projects to accelerate time‑to‑production.
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Lead technical performance investigations with AI engineers (profiling, bottleneck analysis, best‑practice tuning), partnering with NVIDIA engineering teams as needed to resolve issues quickly.
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Build and execute a developer engagement plan (workshops/office hours/technical deep dives) and report progress, early signals, and blockers to internal stakeholders.
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Create high‑quality technical demos and content (blogs, labs, tutorials, conference materials) that showcase NVIDIA solutions in AI‑relevant scenarios and improve developer satisfaction.
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Capture structured developer feedback, identify recurring friction points, and influence internal roadmap decisions by collaborating across NVIDIA engineering, product, marketing, PR, sales, and support.
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Where applicable, help coordinate broader NVIDIA developer programs (e.g., ecosystem pathways) that increase reach and adoption.
What we need to see
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BS/MS in Computer Science, Engineering, or equivalent experience.
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A minimum of 12+ years of overall professional experience in the technology industry working with hyperscalers in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience with Artificial Intelligence software stacks and services
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Strong software engineering background in one or more: Python/C++/CUDA, distributed systems, ML inference/serving, performance engineering, cloud platforms.
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Demonstrated experience working directly with developers (internal or external), including technical enablement, troubleshooting, and shipping production‑grade artifacts.
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Excellent communication skills: ability to translate deep technical concepts into clear guidance and repeatable best practices.
Ways to stand out from the crowd
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Experience with GPU acceleration stacks and/or ML serving toolchains; familiarity with profiling and optimization workflows.
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Experience building developer content: samples, tutorials, labs, or conference demos/talks.
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Proven ability to influence cross‑functional partners and drive outcomes across engineering/product/field organizations.
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Prior experience with hyperscalers or first‑party platform teams.
NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, 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 224,000 USD - 356,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 28, 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
Junior/L3
Mid/L4
Junior/L3 · Analyst
7份报告
$170,275
年薪总额
基本工资
$130,981
股票
-
奖金
-
$155,480
$234,166
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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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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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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