
Pioneering accelerated computing and AI
HPC Operations Engineer
必須スキル
Python
Docker
Linux
We are now looking for a HPC Operations Engineer to join our mission and continue improving our HPC infrastructure. A meaningful part of NVIDIA’s strength is our unique and advanced development tools and environments that enable our incredible pace of innovation. We are looking for architects to help us evolve the way our private compute cloud is architected and optimized. What you’ll be doing:Troubleshoot incoming support requests in a large-scale HPC environment.Contribute enhancements to existing deployment automation, configuration management, observability, and operational monitoring and day to day operation through automation.Ensure compute servers are running correct Operating System and configuration.Troubleshoot Complex Issues: Perform comprehensive troubleshooting from bare metal to application level, ensuring system reliability and efficiency.Collaborate with specialist teams to drive issues to closure.Collaborate with domain experts to improve how our chip development process utilizes our infrastructure.Directly contribute to the overall quality and improve time to market for our next generation chips.What we need to see:BS in Computer Science or similar degree or equivalent experience 2+ years of experience Proficient in administering Centos/RHEL Linux distributions.Understating of container technologies like Docker.Proficiency in Python and UNIX scripting languages such as bash.Excellent problem-solving skills, with the ability to analyze complex systems, identify bottlenecks, and implement scalable solutions.Excellent communication and teamwork skills, with the ability to work effectively with diverse teams and individuals.Solid understanding of cluster configuration managements tools such as Ansible.Ways to stand out from the crowd:Understanding of key Linux technologies such as NFS, automounter, LDAP, DNS, and TCP/IP networking in Red Hat Linux distribution flavors.Familiarity with job scheduler administration (e.g. IBM Spectrum LSF or SLURM) and experience building/ operating large scale compute infrastructure.Knowledge of the FlexLM license management system.Proficiency in Perl for maintaining legacy automation scripts.Familiarity with High-Speed Networking (Infini Band, RDMA, RoCE etc.) and fast, distributed storage systems (Lustre, GPFS, etc.)
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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
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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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