
Pioneering accelerated computing and AI
Senior LLVM Compiler Engineer
We are looking for a Senior LLVM Compiler Engineer for an exciting role developing compilers for our world leading GPUs. We craft outstanding compilers that unlock the full potential of NVIDIA GPU hardware for growing range of computational workloads, ranging from next generate graphics, deep learning, scientific computing, and self-driving. Our compiler organization makes its mark on every GPU and SoC product that NVIDIA builds. Would you like to be part of this best-in-class organization and lead the charge?
What you'll be doing:
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You will be part of NVIDIA re-targetable GPU compiler backend team
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Contribute to compiler optimizations to produce best-in-class, robust, supportable compiler and tools
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Work on challenging problems in register allocation, instruction scheduling, synchronization, loop optimizations etc.
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Develop innovative solutions to optimize workloads in Deep Learning, Ray Tracing, HPC etc. by collaborating with industry experts in each field.
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Get a chance to influence and work on new GPU architectures.
What we need to see:
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B.S. or higher degree in Computer Science/Engineering, or equivalent experience
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Strong background in compiler area, with 5+ years of compiler optimization experience
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Excellent C and C++ programming skills
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Hands on experience in compiler infrastructures like LLVM/GCC
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Good understanding of processor architecture
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Self-motivated with good communication skills
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Experience in working in a global team
Ways to stand out from the crowd:
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Masters or PhD preferred, with 8+ years of relevant experience
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Demonstrated ability to pursue complex optimization problems
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Proficient in building and using modern AI tools
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Experience in Scheduling/Register Allocation
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Experience in developing CUDA, DirectX, OpenGL/Vulkan applications
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 in the world working for us. If you are creative and autonomous, we want to hear from you.
NVIDIA is committed to developing a diverse work environment and is 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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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.
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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.
reddit/blind
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