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.
Skills Required
- Bachelor's degree in Computer Science or equivalent experience with 12+ years of relevant experience
- Master's degree with 10+ years of relevant experience
- Ph.D. with 8+ years of relevant experience
- Extensive experience building large-scale, multithreaded, distributed backend systems
- Experience designing and building RESTful APIs using Python or Go
- Familiarity with Docker and Kubernetes
- Exposure to AWS, Azure, or GCP
- Experience with Prometheus, Grafana, Alertmanager, ELK, or Kibana telemetry stacks
- Ability to collaborate across teams and communicate technical solutions effectively
- Contributions to infrastructure, storage, or Python-based open-source projects
- Strong background in Linux storage systems at enterprise scale
- Experience with NetApp, Pure Storage, Lustre, GPFS, Ceph, or S3-compatible object storage
- Experience with LangChain, LlamaIndex, AutoGen, LangSmith, Arize Phoenix, or W&B Weave
- Experience prototyping and productionizing intelligent automation workflows
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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