Senior ASIC Front End Infrastructure Engineer

NVIDIA is looking for experienced ASIC Infrastructure engineers to enhance the tooling and environment for DV and RTL Design, impacting various product lines including GPUs, AI, self-driving cars, and supercomputers. The role focuses on improving the hardware design environment to ensure seamless operation at a global scale, allowing hardware designers to concentrate on their core tasks.

Responsibilities:

• Deploy AI toolsets at scale in secure configurations for HW Design teams.
• Utilize ML/DL/AI techniques to automate Infrastructure tasks and boost Design team productivity.
• Enhance the speed, flexibility, and extensibility of the GPU front-end build flow.
• Maintain the GPU Continuous Integration system with cutting-edge source management methodologies.
• Guide compute farm, filer, and network topology requirements at cloud scale.
• Deploy and improve compute farm technologies like containers, volume cloning, and distributed storage.
• Forecast HW Design compute resource and EDA needs, reporting to the CFO’s office.
• Implement tracking metrics to resolve operational issues and enhance design productivity.
• Apply information security methods for HW design.
• Identify and eliminate inefficiencies in processes.

Qualifications:

• Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field, or equivalent experience.
• 8+ years of relevant work experience.

Skills:

• Proficiency in programming languages such as Python, Perl, or other Systems Programming languages; OO design preferred.
• Experience with AI tools for development and automation.
• Familiarity with Make-based build systems in large, distributed computing environments.
• Experience with Continuous Integration pipelines and pre-submit verification flows, e.g., using Jenkins.
• Strong problem-solving, debugging, and analytical skills.
• Good interpersonal skills and a collaborative mindset.