Join NVIDIA’s VLSI team as a senior front-end design implementation engineer responsible for all aspects of synthesis, formal-equivalence-checking, flow automation, and application support. You will leverage your expertise in EDA tools to enhance power, performance, and area on critical designs while collaborating with logic designers, physical designers, and EDA vendors to solve complex issues and develop innovative solutions. The role requires a deep understanding of logic optimization techniques, proficiency in Synopsys (DC/FC) and Cadence (Genus/Innovus) tools, and strong interpersonal skills for dynamic team collaboration. Ideal candidates have an MS or BS in Electrical Engineering, Computer Engineering, or related fields with 8+ years of experience in logic and physical design implementation, along with scripting proficiency in Perl, Python, Tcl, and Make. Contribute to the development of real-time computing platforms driving advancements in Deep Learning, AI, Robotics, Autonomous Driving, Gaming, and High Performance Computing.
Skills
Perl
Python
Tcl
Make
Synopsys DC
Synopsys FC
Cadence Genus
Cadence Innovus
VLSI
EDA
Logic Design
Physical Design
Place and Route
Synthesis
Formal Equivalence Checking
CI/CD
What you'll do
Implement front-end design methodologies including synthesis and formal-equivalence-checking.
Optimize power, performance, and area for NVIDIA's critical designs using EDA tools.
Develop new solutions to solve complex implementation issues with cross-functional teams.
Automate design flows and provide support for EDA tool applications.
Collaborate with logic designers, physical designers, and EDA vendors on challenging projects.
What we're looking for
BS or MS in Electrical/Computer Engineering with 8+ years of relevant experience.
Expertise in logic design implementation and physical design optimization techniques.
Proficiency in Synopsys (DC/FC) and Cadence (Genus/Innovus) EDA tools.
Strong understanding of physical synthesis, placement, routing, and logic restructuring.
Experience with Perl, Python, Tcl scripting for automation and tool support.
Ability to collaborate effectively within a dynamic team environment.
Market check
Salary context
This
$168,000–$264,500
range sits above
80%
of similar postings on FindRole.
Peer median band
$119,782–$212,750
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$140,075–$200,075
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.
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