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# Implementation Methodology Engineer

- **Company:** NVIDIA Ltd.
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $136,000.0 - $218,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Very-Large-Scale Integration, Computer Engineering, Computer Graphics, Software Debugging, Logic Synthesis of Circuits, Electronic Design Automation, Design of User Interfaces, Python (Programming Language), Machine Learning, Cadence Virtuoso, Server Administration, Tcl (Programming Language), Graphics Processing Unit (GPU), Deep Learning, Parallel Computation, Information Technology, Optimization Algorithms, Front End Software Development, Physical Design
- **Published:** August 8, 2026
- **Apply:** https://www.careerbuilder.com/job-details/implementation-methodology-engineer-gpu-ca--b3b58687-e461-4d6f-b32c-af3c5d78ab36

## About the Role

We are looking for an Implementation Methodology Engineer to join NVIDIA VLSI team. If you are looking for a challenging and exciting role and you are a self-starter and highly motivated individual who loves to collaborate and find solutions to hard technical problems, join us today!, * BS or MS in Electrical Engineering, Computer Engineering, or related fields (or equivalent experience).

 * 4+ years of experience in logic design implementation and/or physical design implementation
 * Deep understanding of logic optimization techniques and relative area, timing, and power trade-offs
 * Strong understanding of physical design implementation eg: physical synthesis, placement, routing, logic restructuring, etc.
 * Should be a power user of synthesis and/or place and route EDA tools from Synopsys (DC/FC), Cadence (Genus/Innovus)
 * Good debugging and problem-solving skills
 * Strong interpersonal skills along with the ability to work in a dynamic team

Ways to stand out from the crowd :

 * Prior experience in physical implementation
 * Proficiency in Python, Tcl, Make scripting, Artificial Intelligence (AI), Automation, Autonomous Driving Systems, Cadence, Computer Engineering, Computer Graphics, Computer Systems, Deep Learning, Electrical Engineering, GPU (Graphics Processing Unit), Gaming, Human Intelligence (HUMINT), Logic Design, Machine Learning, Parallel Computing, Performance Management, Place and Route, Power Amplifier, Problem Solving Skills, Robotics, Software Administration, Synopsys Tools, User Interface Design, VLSI

## Description

* You will be responsible for all aspects of front-end design implementation methodologies (synthesis, formal-equivalence-checking), flow automation and application support.
 * Use NVIDIA implementation flows and EDA tool expertise to improve power, performance and area on NVIDIA's most critical designs
 * You will collaborate with logic designers, physical designers and EDA vendors to solve exciting implementation issues and develop new solutions.
 * Provide support for EDA tools and flows


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