
Pioneering accelerated computing and AI
System Software Architecture Researcher - PhD Program
필수 스킬
Python
NVIDIA is searching for a premier master's graduate to join our growing software architecture team in the context of the Marie Curie Doctoral Network NEWTON. The ideal candidate will be conducting cutting-edge research at the intersection of Networking, Security, and Communications, and working alongside top experts in these fields. With incredible resources in networking, you will be able to impact, contribute and advance these exiting domains. Topics include but are not limited to remote direct memory access, hardware offloading and acceleration, AI for networking and security, storage management, cryptography, and architecture. With incredible resources at your disposal, you will be able to impact, contribute and advance these exiting domains. Experience in low-latency RPC, network stacks, distributed systems and host data plane acceleration are necessary foundations for candidates.
Join us to research next-generation accelerated data-center architectures in a unique PhD program with NVIDIA partnership. The program is 36 months long and it includes enrollment in a PhD program at one of our partner Universities.
What you’ll be doing:
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Gain hands on experience with designing and implementing services and applications with DPU DOCA SDK
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Learn about security subsystems and systems for networking
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Partner and collaborate with other forward-thinking team members and external researchers
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Have the opportunity to participate and speak at conferences and events
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Publish original research
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Work with intelligent networking machines powered by AI systems that can learn, reason and interact with other network components
What we need to see:
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Must hold a Master’s in Electrical Engineering, Computer Science or Computer Engineering.
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General computer science background, preferably in algorithm design, system programming, networking, operating system, and computer architecture.
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Experience in low-latency RPC, network stacks, distributed systems, host data plane acceleration.
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Strong programming (C/C++/Python), data structures and software development skills.
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Track record of research excellence through publications or public repositories
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Good communications skills
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. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our Software Architecture Team in Denmark and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
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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.
reddit/blind
·
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
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