Senior ASIC Front End Infrastructure Engineer
At a glance
AI generatedTL;DR
NVIDIA is hiring an experienced ASIC Infrastructure Engineer to join its dynamic team focused on enhancing the hardware design environment for leading-edge GPUs used in consumer graphics, AI, self-driving cars, and supercomputers. This role involves deploying AI toolsets at scale in secure configurations, automating infrastructure work with ML/DL techniques, improving build flow efficiency, and maintaining cutting-edge CI systems. The ideal candidate will have a master’s degree or equivalent experience, proficiency in Python or Perl, and expertise in continuous integration pipelines like Jenkins. They should also possess strong problem-solving skills, particularly for complex, intermittent issues, and be adept at using AI tools for development and automation in large-scale distributed computing environments.
Skills
What you'll do
- Deploy AI toolsets at scale in secure configurations for HW Design teams.
- Use ML/DL/AI techniques to automate Infrastructure work and enhance team productivity.
- Improve GPU front-end build flow speed, flexibility, and extensibility.
- Keep GPU Continuous Integration system updated with cutting-edge methodologies.
- Guide cloud-scale compute farm, filer, and network topology requirements.
- Forecast HW Design compute resource needs and report to CFO’s office.
What we're looking for
- Masters Degree in Electrical Engineering, Computer Science or equivalent experience.
- 8+ years of relevant work experience in hardware design infrastructure.
- Proficiency in Python or other systems programming languages with OO design.
- Experience using AI tools for development and automation in secure environments.
- Expertise in Make-based build systems and continuous integration pipelines.
- Ability to root cause and fix complex, intermittent infrastructure issues.
- Verification domain knowledge with complex ASICs or CPUs using advanced methodologies.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 825 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 813 roles with salary data.
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