
Pioneering accelerated computing and AI
HPC Operations Engineer
必备技能
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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关于NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
员工数
Santa Clara
总部位置
$4.57T
企业估值
评价
10条评价
4.4
10条评价
工作生活平衡
2.8
薪酬
4.5
企业文化
4.2
职业发展
4.3
管理层
3.8
78%
推荐率
优点
Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
缺点
High pressure and expectations
Poor work-life balance and long hours
Fast-paced environment leading to burnout
薪资范围
79个数据点
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
7份报告
$170,275
年薪总额
基本工资
$130,981
股票
-
奖金
-
$155,480
$234,166
面试评价
5条评价
难度
3.0
/ 5
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience