NVIDIA is known as 'the AI computing company' and is seeking a strong technical architect for end-to-end manageability architecture in data centers. The role involves driving server management, collaborating with various teams, and ensuring the delivery of high-quality firmware for large data centers.
Responsibilities:
- Drive server management for large clusters and data centers deploying GPUs and Grace solution from Nvidia
- Work with data center architects and cloud customers to narrow down on requirements for implementation to ensure speed of light product development
- Work with internal teams to make sure requirements are designed and implemented in right way with each firmware and software module
- Collaborate with other leads to design & build data center health management workflow
- Drive reliability and optimization in firmware architecture from a data center view point
- Work closely with cluster bring up team and resolve issues at Speed of Light
- Own firmware delivered to data centers in terms of quality, reliability and telemetry performance
Requirements:
- 15+ years of relevant experience working on server firmware (BMC) and platform software development
- BS, MS, or PhD in EE/CS or related field of education or equivalent experience
- Hands on experience with data center health management workflow. Proven record of delivering server firmware for large data centers
- Strong knowledge of data center management, server architecture and server manageability in data centers and strong and demonstrable skill in C/C++ and Python
- Experience programming and debugging skills for server platforms
- Experience in SCM (e.g. Git, Perforce) and project management tools like Jira
- Excellent written and oral communication skills, good work ethics, high sense of team-work, love to produce quality work and commitment to finish your tasks every single day
- Self-starter who loves to find creative solutions to complicated problems and hands on with coding
- Hands on experience with data center health management
- Hands on with x86 or ARM system architecture
- Proven technical leaders to drive large complex problem with 50+ engineers working