This role pays less than
78%
of similar roles. Most pay
$181,000–$241,562
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$211k
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.
The Implementation Methodology Engineer - GPU joins the VLSI team to manage all aspects of front-end design implementation methodologies, including synthesis and formal-equivalence-checking. This role involves flow automation and application support to improve power, performance, and area on critical designs. The engineer will collaborate with logic designers, physical designers, and EDA vendors to solve complex implementation issues and develop new solutions while providing technical support for various tools and flows. Key requirements include expertise in logic optimization techniques, timing, and power trade-offs, alongside a deep understanding of physical design processes like placement, routing, and logic restructuring. Candidates should be proficient with Synopsys DC/FC or Cadence Genus/Innovus tools. Preferred skills include scripting in Python, Tcl, and Make to support the development of high-performance computing platforms for applications like Deep Learning and AI.