2 months ago
Bengaluru, IndiaStaff+
Responsibilities
- Lead initiatives to transform the IT Compute Core Team architecture and create new on-premises and cloud service offerings.
- Design, scale, and deploy globally reliable DNS, NTP/PTP, DHCP, and LDAP infrastructure, including automation, monitoring, high availability, capacity planning, and lifecycle management.
- Define service-efficiency metrics and implement software and hardware optimizations using SR-IOV and DPU technologies.
- Use eBPF and XDP for observability and DDoS mitigation.
- Collect, analyze, and review system capacity data; develop enterprise-wide capacity plans and coordinate infrastructure changes.
- Develop and maintain tools for data collection, analysis, visualization, reporting, alerting, and monitoring.
- Collaborate with NVIDIA 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.
- 15+ years of compute platform engineering experience focused on automation.
- Experience designing and deploying containerization architectures and distributed systems infrastructure.
- Experience evaluating application architectures and identifying containerization opportunities to improve scalability, reliability, and efficiency.
- Strong analytical skills and experience defining and tracking key performance metrics.
- Experience developing data-analysis and performance-profiling tools, with Terraform and configuration management tools.
- Proficiency in Go and/or Python.
- Proficiency with Linux and Linux kernel internals.
- Experience operating large bare-metal build infrastructure environments.
- Understanding of networking protocols and architectures including VLAN, VxLAN, SDN, BGP, and Anycast.
- Preferred experience with containers, large-scale DNS and LDAP deployments, infrastructure as code, configuration management tools, and infrastructure components such as security tools.
Benefits
- Hybrid work arrangement, as indicated by the #LI-Hybrid designation.
- Opportunity to work with NVIDIA leadership and cross-functional technical teams on large-scale infrastructure services.
- Collaborative and supportive environment focused on innovation and professional impact.
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.