1 day ago
Base Salary
$168k - $334k/yr
Responsibilities
- Lead the technical strategy and roadmap for large-scale, cross-functional SRE initiatives improving reliability, scalability, and developer productivity.
- Design and build resilient distributed systems for AI-driven enterprise products and services.
- Architect and develop AI agents and AI skills to accelerate platform operations.
- Drive automation and observability improvements using metrics and analytics.
- Collaborate with Cloud, Platform, Security, and AI/ML teams to implement reliable and secure SRE components.
- Analyze and troubleshoot complex systems and champion system design, incident management, and postmortem best practices.
- Mentor and influence engineers across teams while fostering technical excellence and reliability engineering culture.
Requirements
- 10+ years of experience in Site Reliability Engineering, Platform Engineering, or Cloud Architect roles.
- Bachelor’s degree in Computer Science or a related technical field involving coding, such as physics or mathematics, or equivalent experience.
- Strong proficiency in Python, TypeScript, JavaScript, or Go, with a focus on automation and infrastructure-as-code.
- Experience with infrastructure-as-code tools such as AWS CDK, AWS CloudFormation, Terraform, or Crossplane.
- Solid understanding of OpenTelemetry or other observability implementations at scale.
- Deep expertise in systems architecture, networking, Kubernetes, and public cloud services including AWS, Azure, or GCP.
- Strong problem-solving, communication, teamwork, ownership, curiosity, and ability to influence across technical and interpersonal boundaries.
- Experience with public cloud or large-scale automation systems and demonstrated ability to drive technical strategy and measurable reliability outcomes are preferred.
Benefits
- Hybrid work arrangement.
- Eligible for equity and benefits.
- Applications accepted at least until September 12, 2026.
Categories
Site Reliability
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.