
Pioneering accelerated computing and AI
HPC Operations Engineer
필수 스킬
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 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.
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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.
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