Senior Site Reliability Engineer
NVIDIA
Senior Site Reliability Engineer
NVIDIA
Designs the chips and software that power AI
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables unique creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
Join our team at NVIDIA as a Senior Site reliability engineer focused on HPC storage and play a crucial role in designing, implementing, and optimizing on-prem High-Performance Computing (HPC) storage solutions while harnessing the power of cloud computing. You will be responsible for crafting and deploying distributed storage solutions, build automation tools, and ensuring the efficient operations of our growing IT ecosystem. You will collaborate closely with engineering teams to align infrastructure with their evolving needs, document best practices, and contribute to the success of ground breaking projects.
What You'll Be Doing:
Design, implement an on-prem HPC infrastructure supplemented with cloud computing to support the growing IT needs of NVIDIA.
Design and implement scalable and efficient Storage solutions tailored for data-intensive applications, optimizing performance and cost-effectiveness.
Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources.
Document the general procedures and practices, perform technology evaluations, related to distributed file systems.
Collaborate across teams to better understand developers' workflows and gather their infrastructure requirements.
Influence and guide methodologies for building, testing, and deploying applications to ensure optimal performance and resource utilization.
What we need see:
BS in Computer Science (or equivalent experience) with 8+ years of relevant experience, MS with 5+ years of experience or Ph.D. with 3 years of experience.
8+ years of experience crafting technology solutions and resolving performance bottlenecks for HPC applications.
Design, deployment and management of Enterprise NAS solutions like NetApp, Pure Storage and S3 based storage such as cloudian MinIO. Design, deployment, and management of Enterprise NAS solutions like NetApp, Pure Storage, and S3-based storage such as Cloudian MinIO.
Experience with one or more parallel or distributed filesystems such as Lustre, GPFS.
Python/Bash/Golang programming/scripting experience.
Strong Experience operating services in any of the leading Cloud environment [ AWS, Azure or GCP].
Experience with multiple monitoring stacks such as Prometheus+Grafana, Elasticsearch+Kibana, Splunk, Zabbix, etc. Familiarity with newer and emerging monitoring products.
Excellent communication and collaboration skills.
Ways To Stand Out Of The Crowd:
Background with RDMA (InfiniBand or RoCE) fabrics.
Prior Experience with HPC cluster management tools such as Slurm, PBS, LSF, etc.
Experience with containerization technologies, such as Docker, Mesosphere DCOS, Kubernetes (k8s).
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. If you're creative and autonomous, we want to hear from you!
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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