招聘
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing.
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.
Doing what’s never been done before takes vision, innovation, and the world’s best talent.
As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
Come join the team and see how you can make a lasting impact on the world.
Join our global Developer Technology (Dev Tech) team at NVIDIA, where we drive innovation and improve the value of our platforms for developers.
We are seeking a passionate colleague to work as an AI Developer Technology Engineer.
Our Dev Tech team is a global organization dedicated to pushing the boundaries of AI and computing.
Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures?
Is it rewarding to investigate, find, and eliminate system bottlenecks to achieve the best possible performance of computer hardware?
If so, we invite you to consider this role!
What you'll be doing:Collaborating closely with key application developers to understand and address their current and future challenges.
Developing and optimizing core parallel algorithms and data structures, providing top solutions with GPUs through reference code and direct app contributions.
Working intimately with diverse groups at NVIDIA including architecture, research, libraries, tools, and system software teams.
Your insights will influence the development of next-generation architectures, software platforms, and programming models by investigating their impact on application performance and developer efficiency.
Researching and developing innovative techniques in AI.
You'll conduct comprehensive analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures.
What we need to see:MS or PhD degree in AI computation or system optimization with a strong computational profile, or equivalent experience and 3+ years of relevant work.
Strong knowledge of C++, software development, programming techniques, and AI algorithms.
Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
Proficiency in a specific domain, such as multi-modal model training/inference or reinforcement learning for LLMs.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.
As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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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.
News
·
NaNw ago
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.
News
·
NaNw ago
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.
News
·
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.
News
·
NaNw ago