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 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).

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/