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.
NVIDIA has reinvented itself many times over several decades. We invented the GPU in 1999. This invention sparked PC gaming growth, changed computer graphics, and transformed parallel computing. Recently, GPU deep learning launched modern AI, starting a new computing era. NVIDIA constantly adapts to difficult challenges that only we can address and that impact the world. Our mission is to amplify human creativity and intelligence. NVIDIA is looking for an Orbital Datacenter System Architect to help define and build products for AI in orbit. This is an opportunity to join the leader in AI systems at the inception of a completely new industry.
What you will be doing:
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Drive architecture for orbital datacenter systems considering everything from the chip out to the satellite and connectivity between satellites
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Work with counterparts from silicon, software, networking, operations, and other teams to build a roadmap that guides development of future NVIDIA products for space
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Analyze performance, power, and cost of different solutions to inform architectural decisions
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Collaborate with NVIDIA’s key customers and system development partners to align on consistent strategies
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Collaborate with suppliers and procurement teams to ensure industry roadmaps are aligned to NVIDIA needs
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Work across engineering and operations teams to define systems from concept through large production deployments
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Summarize and examine competitor solutions to keep track of industry developments and trends
What we need to see:
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Bachelor's Degree in Computer Engineering, Computer Science, Electrical Engineering, or equivalent experience in related fields. MS or equivalent experience preferred
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Deep understanding of hardware architecture and development of computing systems for space, including reliability, radiation tolerant strategies, environmental tolerances, and thermal solutions
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12+ years or more of experience in system architecture.
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Hands-on experience with testing and validation for space systems
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Excellent presentation and verbal communication skills with proven ability to lead multi-discipline teams
Ways to stand out from the crowd:
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Experience with large projects involving co-development of silicon, systems, and software
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Familiarity with GPU compute and NVIDIA products
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Experience solving mechanical challenges for rocket launches
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Experience with beam testing and silicon features required for use in space
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Artificial Intelligence, Deep Learning, Autonomous Vehicles, and Robotics. We have a real passion for perfection and for building products that excite the imagination. If you share these values and have the experience and skills to participate, we would love to have you join our team.
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 2, 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
4.4
10条评价
工作生活平衡
2.8
薪酬
4.5
企业文化
4.2
职业发展
4.3
管理层
3.8
78%
推荐给朋友
优点
Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
缺点
High pressure and expectations
Poor work-life balance and long hours
Fast-paced environment leading to burnout
薪资范围
79个数据点
Junior/L3
Mid/L4
Senior/L5
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
5次面试
难度
3.0
/ 5
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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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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.
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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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