Santa Clara, CA · Westford, MA · Austin, TX · Hillsboro, OR · Durham, NC
Salary
$168,000–$264,500 / yr
Posted
47 days ago
Market check
Salary context
Above market
How this pay compares to similar roles
Similar $186k
This role $216k
$123k
most similar roles pay here
$280k
This role pays more than
77%
of similar roles. Most pay
$155,925–$216,250
— the shaded band above.
At the midpoint, this role pays about
$216k
versus about
$186k
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
563 open roles
on FindRole.
Listed pay typically runs
$168,000–$264,500
across 556 roles with salary data.
NVIDIA is seeking a Software Engineer to join its small team building custom high-impact VLSI CAD software. This full-cycle role involves designing, developing, reviewing, testing, and supporting high-capacity chip design and visualization tools, with tasks ranging from modeling to algorithms. The candidate will write innovative code for desktop engineering applications, participate in agile practices, and collaborate globally with internal customers to define new tool requirements. Ideal candidates have a minimum of 10 years’ experience in CAD/EDA tool development, expertise in C++, Java, or C#, proficiency with modern software platforms like git and CI/CD tools, and knowledge of physical VLSI design automation data models. The role requires adaptability as the team expands to shape next-generation design tools for NVIDIA’s core product lines.
C++
Python
ICCAD tools
Innovus
Computational geometry
Graph theory
Algorithm development
Multithreading
Distributed computing
High performance software design
GUI development
Machine learning
VLSI Physical Design
SystemVerilog
UVM
Python
TcL
Perl
Cadence Genus
Cadence Conformal
Cadence Innovus
Cadence Voltus
Cadence Tempus
Cadence Modus
Low power design methods
DSP
Digital Analog Boundary (DAB) crossings
A2D
D2A
Lab automation methods
Agentic AI