Senior HPC Site Reliability Engineer
At a glance
Senior Site Reliability role at NVIDIA. Israel, Yokneam · full-time.
Pay not stated Site Reliability Engineer salary
devopsroles summary, based on the employer's posting.
What you'll do
- Lead the design and rollout of a large compute cloud for chip modeling, design and deep learning workloads
- Find ways to reshape the cloud’s architecture, including proposing new technical approaches
- Tackle compute allocation across different hardware, cloud strategy, capacity forecasts and long-range scaling
- Improve infrastructure planning across a globally distributed computing environment
What you bring
- A computer science or electrical engineering degree, or comparable experience
- At least eight years designing and running large-scale compute infrastructure
- Hands-on knowledge of job schedulers and cluster configuration tools such as LSF, SLURM, Ansible or Puppet
- Experience delivering compute services through AWS, Azure, Google Cloud or another listed provider
- Strong scripting ability in Python, Bash or Perl
Who this fits
This senior role suits an infrastructure engineer who has designed and operated large compute environments and can shape architecture and capacity plans. The position is based in Israel.
From the employer
We are now looking for a Senior HPC Site Reliability 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 will be doing:
- Provide leadership in the design and implementation of our large-scale compute cloud that enables the world's top chip modelers, designers, and deep learning experts to invent groundbreaking technology.
- Identify architectural changes or completely innovative approaches in our cloud architecture and design.
- Help with strategic challenges we encounter, including: effective resource utilization in a heterogeneous compute environment, evolving our private/public cloud strategy, capacity modeling, and planning for multi-year growth and scaling across our global computing environment!
What we need to see:
- B.sc in Computer Science, Electrical Engineering or related field or equivalent experience
- 8+ years of experience designing and operating large scale compute infrastructure.
- Experience with job schedulers such as IBM/Platform LSF, SGE, SLURM, Marathon, Chronos.
- Solid understanding of cluster configuration managements tools – Ansible, Puppet, Chef, Salt.
- Good experience providing compute services using a public cloud (AWS, Azure, Google Cloud)
- Strong script-writing skills: Python, Bash, Perl
- Knowledge of and/or experience deploying PaaS microservices – Docker, Docker Swarm, Kubernetes
- Understanding of fast distributed and network attached storage solutions and Linux file systems, ability to recommend and implement solutions to improve OS performance and reliability.
Ways to stand out from the crowd:
- Linux certification from a well-known vendor - RedHat, Oracle, etc.
- Prior experience managing large-scale Kubernetes deployment in production.
- Strong skills in modern container networking and storage architecture.
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