Description
NVIDIA's Silicon Co-Design Group is seeking a Senior Infrastructure Automation Engineer to innovate, develop, and integrate innovative AI solutions into the design and automation infrastructure that powers our chips.
Every CPU, GPU, and Tegra SoC NVIDIA has shipped in the past four years passed through our toolchain on its way to production , over 200 product SKUs were optimized during the Blackwell generation alone. Now we're rebuilding that toolchain around AI, and we're looking for the engineer to lead that charge.
In this role, you will architect and implement solutions that enhance the efficiency, scalability, and intelligence of our workflows, driving initiatives from concept to deployment.
Responsibilities:
- 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.
- Build production-grade AI-assisted automation infrastructure for Silicon Co-Design use cases, including reliable orchestration, observability, evaluation, guardrails, and human-in-the-loop controls where needed.
- Drive Cross-function Collaboration with ASIC, SW, System Design, Product, Security, and Operations teams to ensure reliability, scalability, and performance.
- Drive hard debugging and root-cause analysis across infrastructure, automation, data, and HW/SW boundary issues.
Requirements:
- MS or PHD in EE or equivalent experience.
- Strong software engineering background with 8+ years significant experience designing large-scale infrastructure, framework architecture, or developer platforms.
- Strong proficiency in Python and at least one static language (C, C++, C#, Java, Scala, etc).
- Hands-on experience in AI/ML and data analysis, preferably with exposure to large-scale datasets.
- Strong EE fundamentals, including computer architecture, high-speed interfaces, timing, power basics, and a solid understanding of firmware/driver structures and hardware interaction.
- Excellent problem-solving, communication, and collaboration skills.
Benefits:
NVIDIA offers highly competitive salaries and a comprehensive benefits package. You can learn more about our benefits at www.nvidiabenefits.com/