We are seeking a Senior Software Engineer with strong infrastructure expertise to design, build, and operate the next generation of our enterprise Automation, and AI-driven Reliability Platform.
This role involves developing and implement innovative architecture and software for large-scale storage and backup services, ensuring continuous availability, performance, and self-service for all key services supporting our AI/ML, Software and engineering teams. This position offers a rare chance to contribute to revenue-driving initiatives and the foundation of our engineering services.
What you'll be doing:
- 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.
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.
