3 days ago
Base Salary
$200k - $322k/yr
Responsibilities
- Lead IT Compute platform architecture initiatives and build new on-premises and cloud service offerings.
- Define and implement metrics to measure compute platform and service efficiency.
- Collect and analyze system and capacity data, develop enterprise-wide capacity plans, and coordinate implementation with management.
- Develop and maintain tools for data collection, analysis, visualization, reporting, alerting, monitoring, and performance profiling.
- Evaluate application architectures and identify containerization opportunities to improve scalability, reliability, and efficiency.
- Collaborate with leadership, senior engineers, program managers, and product managers to develop IT products and services.
Requirements
- Bachelor’s degree in Engineering, Computer Science, Mathematics, or a related field, or equivalent experience.
- 12+ years of experience in compute platform engineering focused on automation.
- Experience designing and deploying virtualization architectures.
- In-depth knowledge of SR-IOV, DPU, and GPU hardware technologies in virtualized and containerized environments.
- Strong analytical skills and experience defining and tracking key performance metrics.
- Experience developing data analysis and performance profiling tools, using Terraform, and working with configuration management tools.
- Proficiency in Go and/or Python.
- Experience operating large bare-metal, virtualized, and cloud environments containing tens of thousands of virtual machines.
- Preferred experience with infrastructure components including storage, DNS, LDAP, and security tools.
- Preferred hands-on experience with AWS, Azure, or Google Cloud Platform.
- Preferred understanding of microservices architecture, infrastructure as code, and configuration management tools.
Benefits
- Hybrid work arrangement.
- Eligible for equity and benefits.
- Applications will be accepted at least until November 17, 2026.
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.