Engineering Manager – AI Platform & SRE
$208k - $334k • Remote • US, CA, Santa Clara
Posted 18d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Infrastructure Engineer
About the job
NVIDIA is seeking an Engineering Manager to lead a team focused on building and operating resilient AI platform capabilities at enterprise scale. This role combines people leadership with strong technical judgment to translate business and engineering challenges into a clear strategy and executable roadmap. You will partner across various organizations to deliver reliable systems, improve developer productivity, and advance the use of AI agents and skills in platform operations. The culture values diversity, intellectual curiosity, collaboration, and continuous learning, encouraging thoughtful risk-taking and shared ownership to create an environment where engineers can do their best work and grow their careers.
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.
Requirements
- 10+ years of experience in Site Reliability Engineering, Platform Engineering, Software Engineering, Cloud Infrastructure, or a related technical field.
- 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.
Benefits
- Equity
- Benefits