Automation Integration Lead - Silicon Solution Group

NVIDIA is seeking an Automation Integration Lead Engineer for the Silicon Solution Group (SSG) to drive post-silicon validation automation and workflow visualization. This role involves defining and executing productivity improvement solutions, leading cross-functional teams, and partnering with global automation and infrastructure teams to build and maintain large-scale cloud and on-premises infrastructures. The successful candidate will provide architectural guidance, ensure reliability and scalability, and continuously improve processes, contributing to NVIDIA's groundbreaking consumer, professional, server, mobile, and automotive solutions.

Must Have

• Define clear vision and roadmap for productivity efficiency improvement solutions.
• Drive execution from design through delivery.
• Lead cross-function engineering teams on project deliverables commitment.
• Partner with global automation and Infrastructure teams to design, build, and maintain large-scale infrastructures.
• Stay hands-on technically, providing architectural guidance on complex infrastructure challenges.
• Cross-function Collaboration with ASIC, SW, System Design, Product, Security, and Operations teams.
• Continuously improve processes to ensure efficiency, reliability, and adaptability.
• MS in EE, CE, CS, or Systems Engineering (or equivalent experience).
• 10+ years of large-scale software development experience and framework architecture design.
• Strong skills in Python, Javascript.
• Experience in HTML5, CSS, NodeJS, or React.
• Hands-on experience in AI/ML and data analysis.
• Good communication and organization skills, with a logical approach to problem-solving, and task prioritization skills.
• Effective experience working with global multi-functional teams, principals, and architects across organizational boundaries.

Good to Have

• Knowledge of System Design, CPU and/or GPU architecture.
• Background with large-scale full-stack development.
• Experience with software design flow management or project management.
• Demonstrable knowledge of Elastic Stack (Elasticsearch, Logstash etc) and Kafka.
• Knowledge of telemetry, observability, or monitoring frameworks (e.g., Kibana, Grafana, OpenTelemetry).

Perks & Benefits

• Highly competitive salaries
• Comprehensive benefits package
• Two free days each quarter to recharge

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 Automation Integration Lead Engineer for Silicon Solution Group (SSG) 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 Solutions 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:

• Define clear vision and roadmap for productivity efficiency improvement solutions in alignment with business needs, and drive execution from design through delivery.
• Lead cross-function engineering teams on project deliverables commitment to streamline the system design and verification process and workflow.
• Partner with global automation and Infrastructure teams to design, build, and maintain large-scale, cloud-based and on-premises infrastructures.
• Stay hands-on technically, providing architectural 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).
• 10+ years of large-scale software development experience and experience in framework architecture design.
• Strong skills in Python, Javascript.
• Experience in HTML5, CSS, NodeJS, or React
• Hands-on experience in AI/ML and data analysis, preferably with exposure to large-scale datasets.
• Good communication and organization skills, with a logical approach to problem-solving, and task prioritization skills.
• Effective experience working with global multi-functional teams, principals, and architects across organizational boundaries.

Ways to stand out from the crowd:

• Knowledge of System Design, CPU and/or GPU architecture.
• Background with large-scale full-stack development.
• Experience with software design flow management or project management.
• Demonstrable knowledge of Elastic Stack (Elasticsearch, Logstash etc) and Kafka.
• Knowledge of telemetry, observability, or monitoring frameworks (e.g., Kibana, Grafana, OpenTelemetry).

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and talented people in the world working with us and our engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for GPU/SOC platform software/tools, we want to hear from you.