This role pays more than
65%
of similar roles. Most pay
$127,887–$222,000
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$175k
for comparable roles.
Based on 240 similar postings.
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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
As an EDA Workflow Optimization Engineer, you will join a specialized team to partner with engineering teams worldwide in optimizing the full chip design process from inception through production. You will investigate flaws and opportunities within workflows, construct performance metrics for services and infrastructure, and build new systems in an agile, production software environment. Your daily work involves participating in the full life-cycle of tool development, testing, and deployment while improving how workflows utilize compute and storage environments to enhance chip development quality and time to market. The role requires expertise in UNIX systems programming, automation using Python, Shell, or Perl, and experience with C/C++. You will leverage knowledge of ASIC, VLSI, CAD/EDA, and mixed-signal design environments, while utilizing tools like IBM Spectrum LSF or SLURM to manage GPU-based workloads in distributed batch computing environments.