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Principal Software Engineer
| Company | NVIDIA |
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| Location | Santa Clara, CA, USA |
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| Salary | $248000 – $391000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Expert or higher |
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Requirements
- Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field, or equivalent experience
- 15+ years of proven experience in compute platform engineering with a focus on automation
- Proven experience in designing and deploying virtualization architectures
- In-depth knowledge of hardware technologies, including SR-IOV, DPU, and GPU, with a track record of implementing these in virtualized and containerized environments
- Proven experience evaluating existing application architectures and identify opportunities for containerization to improve scalability, reliability, and efficiency
- Strong analytical skills with the ability to define and track key performance metrics
- Experience in developing tools for data analysis and performance profiling, Development with Terraform, Config Management tools
- Proficiency in programming languages such as Go and/or Python
- Experience with running large environments consisting of BareMetal, large scale virtualized environments with a mix of tens of thousands of VM’s and cloud infrastructure.
Responsibilities
- Lead initiatives to transform IT Compute platform architecture to build new service offerings across On-Prem & Cloud.
- Define and implement metrics to measure the efficiency of compute platforms & services and drive efficiency.
- Collect and review system data for capacity and planning purposes, analyze capacity data and develop plans for appropriate level enterprise-wide systems, and coordinate with management personnel in implementing changes.
- Develop and maintain tools for collecting, analyzing, and visualizing data for reporting, alerting, monitoring.
- Collaborate with NVIDIA leadership, senior engineers, program managers, and product managers to develop compelling IT products and services that meet customer needs.
Preferred Qualifications
- Deep understanding of other infrastructure components like Storage, DNS, LDAP, Security Tools etc..
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Solid understanding of microservices architecture, infrastructure as code (IaC) and configuration management tools.
