
Pioneering accelerated computing and AI
System Software Architecture Researcher - PhD Program
必須スキル
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について

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
従業員数
Santa Clara
本社所在地
$4.57T
企業価値
レビュー
10件のレビュー
4.4
10件のレビュー
ワークライフバランス
2.8
報酬
4.5
企業文化
4.2
キャリア
4.3
経営陣
3.8
78%
知人への推奨率
良い点
Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
改善点
High pressure and expectations
Poor work-life balance and long hours
Fast-paced environment leading to burnout
給与レンジ
79件のデータ
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
7件のレポート
$170,275
年収総額
基本給
$130,981
ストック
-
ボーナス
-
$155,480
$234,166
面接レビュー
レビュー5件
難易度
3.0
/ 5
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
最新情報
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
·
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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