NVIDIA
Technology
InfrastructureAutomationEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Infrastructure Automation Engineer at NVIDIA. Skills: Infrastructure Automation, Post-silicon validation automation, SW design, C++, Python, AI/ML, Data Analysis, Large-scale infrastructure. Investigate on and design for productivity efficiency improvement solutions in alignment with business needs. drive execution from design through delivery”
What You'll Achieve.
driving the post-silicon validation automation integration and workflow visualization; making a difference in the world through the inventions; productivity efficiency improvement; streamline the system build and verification process and workflow; design, build, and maintain large-scale, and on-premises infrastructures; ensure reliability, scalability, and performance; fostering a culture of technical excellence, collaboration, and ownership; Continuously improve processes to ensure efficiency, reliability, and adaptability
Industry & Context.
logical approach to problem-solving
What They're Looking For.
Must Have
MS in EE, CE, CS, or Systems Engineering (or equivalent experience), 5+ years of large-scale software development experience, experience in framework architecture design, skills in C++, skills in Python, Hands-on experience in AI/ML, Hands-on experience in data analysis, Good communication and organization skills, logical approach to problem-solving, task prioritization skills, Effective experience working with global multi-functional teams, principals, and architects across organizational boundaries
Nice to Have
Knowledge of System Design, Knowledge of CPU architecture, Knowledge of GPU architecture, Background with large-scale full-stack development, Experience with software design flow management, Experience with project management, Demonstrable knowledge of Elastic Stack (Elasticsearch, Logstash etc), Demonstrable knowledge of Kafka, Knowledge of telemetry frameworks, Knowledge of observability frameworks, Knowledge of monitoring frameworks (e. g. , Kibana, Grafana, OpenTelemetry)
What You'll Do.
Investigate on and design for productivity efficiency improvement solutions in alignment with business needs
drive execution from design through delivery
Collaborate with cross-function engineering teams on project work dedication to streamline the system build and verification process and workflow
Co-work with global automation and Infrastructure teams to design
and maintain large-scale
and on-premises infrastructures
Stay hands-on technically
providing guidance on complex infrastructure challenges
Cross-function Collaboration with ASIC
and Operations teams to ensure reliability
Continuously improve processes to ensure efficiency
How You'll Work.
Team & Collaboration
Collaborate with cross-function engineering teams; Co-work with global automation and Infrastructure teams; Cross-function Collaboration with ASIC, SW, System Design, Product, Security, and Operations teams; Effective experience working with global multi-functional teams, principals, and architects across organizational boundaries
Communication Scope
Good communication skills; Effective experience working with global multi-functional teams, principals, and architects across organizational boundaries
Process & Methodology
project management, software design flow management
Full Job Description
NVIDIA's GPUs and SOCs are the world leaders in performance and efficiency, and we are continually innovating in creative and unique ways to improve our ability to deliver extraordinary solutions in a wide range of sectors. We are seeking Infrastructure Automation Engineers for Silicon Co-Design Group (SCG) who is passionate about driving the post-silicon validation automation integration and workflow visualization, has good leadership and SW design skills, and are committed to making a difference in the world through the inventions. As part of the Silicon Co-Design Group, we are responsible for productizing NVIDIA's chips into groundbreaking consumer, professional, server, mobile, and automotive solutions. Through this position, besides software programming/debug skills, you will learn more about GPU/SOC features and the chip validation method/process. **What you 'll be doing:** * Investigate on and design for productivity efficiency improvement solutions in alignment with business needs, and drive execution from design through delivery. * Collaborate with cross-function engineering teams on project work dedication to streamline the system build and verification process and workflow. * Co-work with global automation and Infrastructure teams to design, build, and maintain large-scale, and on-premises infrastructures. * Stay hands-on technically, providing guidance on complex infrastructure challenges. * Cross-function Collaboration with ASIC, SW, System Design, Product, Security, and Operations teams to ensure reliability, scalability, and performance, fostering a culture of technical excellence, collaboration, and ownership. * Continuously improve processes to ensure efficiency, reliability, and adaptability. **What we need to see:** * MS in EE, CE, CS, or Systems Engineering (or equivalent experience). * 5+ years of large-scale software development experience and experience in framework architecture design. * Strong skills in C++, Python. * Hands-on experience in
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