Document practices and procedures, evaluate new technologies, and drive adoption of next-gen automation in enterprise storage services.
What we need to see
BS in Computer Science (or equivalent experience) with 12+ years of relevant experience, MS with 10+ years, or Ph.D. with 8+ years.
Extensive expertise building large-scale, multi-threaded, distributed backend systems.
Experience designing and building RESTful APIs using Python or Go.
Familiarity with containerization & orchestration (Docker, Kubernetes).
Exposure to cloud platforms (AWS, Azure, GCP).
Experience with telemetry stacks (Prometheus, Grafana, Alert manager, ELK/Kibana).
Ability to collaborate across teams and communicate technical solutions effectively.
Growth mindset to quickly adopt new frameworks in observability, AI automation, and infrastructure management.
Ways to stand out from the crowd
Contributions to open-source projects (infrastructure, storage, or Python-based libraries).
Strong background in Linux storage systems and solving at enterprise scale.
Experience with Enterprise NAS (NetApp, Pure Storage), distributed filesystems (Lustre, GPFS, Ceph), or S3-compatible object storage.
Experience with GenAI/agentic application frameworks (LangChain, LlamaIndex, AutoGen) or observability platforms (LangSmith, Arize Phoenix, W&B Weave).
Proven track record to prototype and productionize intelligent automation workflows, especially for self-service, large-scale infrastructure.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking people in the world working for us. If you're creative and autonomous, we want to hear from you!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
