
Pioneering accelerated computing and AI
Senior System Software Engineer - GPU
필수 스킬
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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NVIDIA 소개

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
직원 수
Santa Clara
본사 위치
$4.57T
기업 가치
리뷰
10개 리뷰
4.4
10개 리뷰
워라밸
2.8
보상
4.5
문화
4.2
커리어
4.3
경영진
3.8
78%
지인 추천률
장점
Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
단점
High pressure and expectations
Poor work-life balance and long hours
Fast-paced environment leading to burnout
연봉 정보
79개 데이터
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
7개 리포트
$170,275
총 연봉
기본급
$130,981
주식
-
보너스
-
$155,480
$234,166
면접 후기
후기 5개
난이도
3.0
/ 5
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
최근 소식
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.
reddit/blind
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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.
reddit/blind
·
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.
reddit/blind
·