1 day ago
Base Salary
$272k - $431k/yr
Responsibilities
- Lead the development of APIs, state management, and workflow orchestration systems for large-scale fleet lifecycle automation.
- Drive technical alignment, integration strategy, interfaces, and reliable end-to-end workflows across dependent systems and partner teams.
- Coach and mentor senior engineers while elevating technical standards and guidelines across the organization.
- Translate customer and product requirements into scalable, high-impact technical solutions.
- Partner with executive and engineering leadership to codify business processes into measurable, scalable, and operationally consistent platforms.
- Integrate AI schedulers such as Kubernetes and Slurm and observability systems such as Prometheus, OpenTelemetry, and Grafana.
Requirements
- 16+ years of progressive industry experience.
- Master’s or bachelor’s degree in computer science or a related field, or equivalent experience defining and shipping complex distributed systems.
- Deep hands-on expertise establishing, operating, and scaling services in high-reliability environments.
- Strong proficiency in modern systems programming languages such as Go, Java, or Python.
- Proven experience defining, owning, and evolving high-scale distributed-system architecture, including APIs, control planes, and data pipelines.
- Deep understanding of global cloud infrastructure including AWS, GCP, and Azure, plus container ecosystems including Docker and Kubernetes.
- Ability to drive technical strategy, influence outcomes across organizational boundaries, communicate complex concepts, build consensus, and mentor high-performing engineers.
- Preferred experience leading organization-wide workflow orchestration for petabyte-scale infrastructure.
- Preferred Principal or Staff+ experience delivering improvements in operational efficiency, reliability, and security across large engineering organizations.
- Preferred familiarity with the operational and deployment aspects of NVIDIA’s AI/ML software stack, including CUDA, cuDNN, and containerization.
- Patent contributions or a strong publication record in distributed systems, cloud computing, or infrastructure automation are advantageous.
Benefits
- Competitive base salary of 272,000 USD to 431,250 USD, plus eligibility for equity and benefits.
- Comprehensive benefits package for employees and families.
- Applications accepted at least until October 27, 2026.
Tech Stack
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.