Engineering Manager – AI Platform & SRE

NVIDIA•Us, CA

About The Position

Site Reliability Engineering (SRE) at NVIDIA is an engineering field focused on designing, building, and operating large-scale production systems with exceptional reliability, efficiency, and availability. It combines software and systems engineering practices with expertise across distributed systems, networking, Kubernetes, public cloud, observability, capacity management, continuous delivery, and automation. As an Engineering Manager, you will lead a team of dedicated engineers responsible for building and operating resilient AI platform capabilities at enterprise scale. You will combine people leadership with strong technical judgment, helping the team translate ambiguous business and engineering challenges into a clear strategy and executable roadmap. You will partner across Cloud, Platform, Security, and AI/ML organizations to deliver reliable systems, improve developer productivity, and advance the use of AI agents and skills in platform operations. Our culture values diversity, intellectual curiosity, collaboration, and continuous learning. We encourage thoughtful risk-taking, blameless analysis, and shared ownership. You will create an environment in which engineers can do their best work, grow their careers, and make a meaningful impact.

Requirements

10+ years of experience in Site Reliability Engineering, Platform Engineering, Software Engineering, Cloud Infrastructure, or a related technical field, including 3+ years managing or formally leading engineering teams responsible for complex production systems.
Technical foundation in distributed systems, Linux, networking, Kubernetes, and public cloud platforms such as AWS, Azure, or GCP.
Experience leading teams that build production software and automation using languages such as Python, Go, TypeScript, JavaScript, or Java.
Solid understanding of observability at scale, including OpenTelemetry, metrics, logs, distributed tracing, profiling, and operational analytics.
Experience applying SRE practices such as service-level objectives, error budgets, capacity and resource management, incident management, disaster recovery, and blameless postmortems.
Demonstrated ability to create technical roadmaps, manage competing priorities, and deliver measurable outcomes across multiple teams.
Proven ability to hire, coach, retain, and develop engineers at different career stages.
Outstanding communication and collaboration skills, with the ability to influence across technical, product, and organizational boundaries.

Nice To Haves

Hands-on experience with AI agents, agentic workflows, or intelligent automation for infrastructure and production operations.
A track record of improving availability, performance, operational efficiency, developer productivity, or incident response through measurable engineering initiatives.
Experience building or scaling an SRE or platform engineering function across a large enterprise and coordinating complex programs across organizational boundaries.
Success developing senior engineers and technical leaders, paired with a strong sense of ownership, curiosity, and empathy that enables you to build trust and bring clarity to ambiguity.

Responsibilities

Lead, develop, and grow a team of SRE, platform, and software engineers responsible for NVIDIA’s AI Platform Runtime and related production services.
Define the team’s technical strategy, priorities, and roadmap in alignment with broader product, platform, and business objectives.
Guide the design and delivery of highly available, scalable, secure, and resilient distributed systems that support enterprise AI agent products.
Drive the development of AI agents, AI skills, and intelligent automation for platform operations, incident response, troubleshooting, and remediation.
Establish measurable reliability goals and effective operational practices using service-level indicators, service-level objectives, error budgets, capacity models, operational health metrics, and production readiness reviews.
Improve engineering velocity and developer experience through self-service platforms, infrastructure-as-code, standardized delivery patterns, and automation.
Partner with product managers, architects, and leaders across Cloud, Security, Networking, Platform, and AI/ML teams to coordinate initiatives involving multiple functions.
Maintain a healthy balance among feature delivery, platform investment, operational work, reliability improvements, and technical debt reduction.
Lead the team through critical incidents and ensure that blameless postmortems result in clear ownership and durable corrective actions.
Recruit exceptional engineers and foster an inclusive, high-performing environment through coaching, feedback, career development, and thoughtful delegation.