Senior Software Engineer - IT Infrastructure
NVIDIA · Posted Oct 11
Graphics processing units, artificial intelligence platforms, accelerated computing, and data center solutions
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About the role
NVIDIA's IT infrastructure organization builds and operates enterprise-scale platforms, storage, and backup services that support the company's AI/ML, software, and engineering teams. This role focuses on designing and building the next generation of an enterprise Automation and AI-driven Reliability Platform, spanning large-scale storage services, REST APIs, observability, and agentic automation. The engineer will develop software and architecture for unified storage infrastructure, telemetry, and self-healing workflows that keep key engineering services continuously available.
What you will do
- Develop and manage enterprise-scale platforms that unify storage infrastructure and services, integrating enterprise appliances, networks, and open-source technologies.
- Develop and scale REST APIs in Python/Go, enabling thousands of engineers to seamlessly run on-demand storage workflows.
- Automate storage operations — provisioning, monitoring, metrics, telemetry, and solving — ensuring high reliability and performance.
- Integrate intelligent observability and tracing into workflows to improve accuracy, reduce latency, and optimize efficiency across infrastructure services.
- Implement agentic workflows that empower self-healing, proactive remediation, and automation to decrease operational overhead.
- Build proof-of-concept integrations between infrastructure services and emerging agentic AI frameworks, laying the foundation for intelligent infrastructure platforms.
- Document practices and procedures, evaluate new technologies, and drive adoption of next-gen automation in enterprise storage services.
Skills used in this role
What the employer is looking for
- 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.
Preferred qualifications
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About NVIDIA
NVIDIA Corporation is a multinational technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Pioneering accelerated computing, the company has become a driving engine of modern artificial intelligence, deep learning, and data center infrastructure.
- Industry
- Semiconductors
- Company size
- 42000+ employees
- Founded
- April 5, 1993
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $5M raised
Leadership
Founder, President and Chief Executive Officer
Executive Vice President and Chief Financial Officer
Founder and NVIDIA Fellow
Executive Vice President, Worldwide Field Operations
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