招聘
必备技能
Machine Learning
We are looking for a dynamic, mission-driven Developer Relations Manager to join our team in Mexico. In this dynamic role, you will build and manage strategic partnerships with enterprises, ISVs, and startups — helping them design and deploy accelerated AI solutions powered by NVIDIA technologies and platforms. The ideal candidate brings together a strong technical foundation, sharp business insights, and a deep understanding of the regional AI landscape.
This role is based in Mexico City, Mexico.
What you'll be doing:
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Serve as a trusted technical advisor, driving strategic engagements in high-impact domains such as GenAI and Foundational models, AI infrastructure and scaling, digital twin, simulation, AI Agents, and shaping how these capabilities are adopted and scaled
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Understand customer critical workloads, and advise on technical enablement strategies on NVIDIA stack integration
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Guide partners and customers through the NVIDIA integration journey, fostering co-innovation and the development of next-generation solutions.
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Map, build, and expand a vibrant ecosystem of strategic partners to multiply growth opportunities, champion NVIDIA technologies, and track ecosystem trends.
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Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.
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Work closely with partner engineering teams, technical leaders, and decision-makers to unpack goals, tackle technical challenges, and endorse protocols for successful integrations.
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Represent and advocate for the partner's technical needs and funnel feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.
What we need to see:
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BS/MS in AI, Data Science, or a computer science-related field (or equivalent experience).
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A minimum of 5+ years of overall professional experience in the technology industry in software engineering, developer relations, and technical partnerships, including 3+ years of direct hands-on experience in AI and Generative AI.
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Proven experience leading, partnering, and scaling developer programs at major technology companies, ISVs, or within relevant verticals, focusing on Generative AI, applied machine learning.
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Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences, from engineers to executives.
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Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders.
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Spanish and English proficiency.
Ways to stand out from the crowd:
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Deep Understanding of the Mexican AI ecosystem, use cases, and new technologies.
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Strong Knowledge of the NVIDIA product stack and its end-to-end capabilities
We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
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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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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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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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