Infrastructure Automation Engineer - Silicon Co-Design Group

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 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/