
Pioneering accelerated computing and AI
Senior System Software Engineer - GPU
必备技能
Linux
Excel
NVIDIA is searching for a highly motivated, creative engineer with experience in system software to join the GPU Kernel System Software team. As someone who is hardworking and passionate about their work, you will design key aspects of our production GPU kernel drivers and embedded SW. You should demonstrate the ability to excel in an environment with complex software and hardware designs.
What you'll be doing:
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Leading the design, developing, and verifying bleeding edge technology into our next-gen GPU chips, such as Rubin/Feynman; collaborating to various degree with different teams, such as HW Arch/System engineers, SW fellow engineers, etc.
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Be heavily involved with the early modeling and simulation required to produce our world-class GPU chips.
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Follow the GPU devices all the way through the development process to all of NV’s platforms, such as data centers, desktops, notebooks, workstations, and gaming console products that are used throughout the world.
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Own roadmap tracking, document technology and strategy changes, and rationale for decisions and drive alignment across teams across the globe.
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Provide helps and recommendations or feedback to teams regarding decisions surrounding topics such as high-quality, infrastructure, continuous integration, and testing strategy.
What we need to see:
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BS, MS or PhD degree in Computer Engineering, Computer Science, or related degree, or equivalent experience.
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5+ years of significant software development experience.
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Excellent C programming, C++, and low-level driver experience as well as having shown initiative in pursuing independent coding projects.
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Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, embedded system, RISCV, RTOS, etc).
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Kernel experience with Linux, Android, Chrome, or Windows systems.
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Experience with complex system-level debugging is invaluable.
Ways to stand out from the crowd:
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Background and strength with complex AI & GPU computing system architecture design is invaluable.
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Familiarity with Open systems, Kernel level security concepts, or Enterprise level security domain.
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Deep understanding of memory management, Graphic Render, or virtualization concepts.
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Experience with embedded system SW concepts, e.g.: RTOS and overlay programming models.
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Validated leadership and communication skills with multi-functional teams across organizational boundaries and geographies.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate, and self-motivated, 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
10条评价
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%
推荐率
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
面试评价
5条评价
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