Senior Physical Design Interposer Engineer

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CAAustin, TX
Salary: $168,000–$264,500 / yr
Employment: Full-time
Posted: 23 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $195k

This role $216k

$137k most similar roles pay here $278k

This role pays more than 75% of similar roles. Most pay $172,000–$217,500 — the shaded band above. At the midpoint, this role pays about $216k versus about $195k 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 1047 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 833 roles with salary data.

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At a glance

TL;DR · Senior Physical Design Interposer Engineer

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As a Senior Physical Design Interposer Engineer, you will join a specialized team focused on building automation infrastructure for complex interposer designs in advanced semiconductor packaging. You will develop VLSI flows, methodologies, and applications to construct, analyze, and validate interposer designs while optimizing the daily workflows of designers. Your work involves solving technical challenges related to high-density signal routing and multi-die platforms by collaborating with package architects and foundry partners. The role requires proficiency in Python and C++, including strong programming fundamentals like data structures and object-oriented design. You will also apply AI/ML techniques, such as LLMs for code generation or ML-assisted analysis tools, to engineering workflows. Essential expertise includes electrical engineering fundamentals like signal integrity and power delivery, alongside experience in interposer and IC physical design within a production flow environment.

Skills

Python C++ VLSI EDA AI LLMs Signal Integrity Power Delivery Parasitic Extraction IC Physical Design Data Structures Algorithms Object-Oriented Design

What you'll do

Develop VLSI flows and methodologies to automate complex interposer design processes.
Build applications for project engineers with a focus on maintainability and ease of use.
Create tools to construct, analyze, and validate interposer designs at various production stages.
Optimize daily workflows for interposer designers to improve efficiency and speed.
Solve technical problems related to signal integrity, power delivery, and parasitic extraction.
Integrate AI/ML techniques into engineering workflows and EDA environments.
Deliver production-quality solutions for next-generation multi-die platforms.

What we're looking for

BS in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
8 years of flow and methodology development experience building flows for interposer design used by engineering teams at scale.
Proficiency in Python and/or C++ including data structures, algorithms, object-oriented design, and code quality practices.
Demonstrated experience applying AI/ML techniques in engineering workflows such as LLMs or ML-assisted design analysis tools.
Strong understanding of electrical engineering fundamentals relevant to VLSI interposer design like signal integrity and power delivery.
Good understanding of VLSI package design along with interposer and IC physical design (preferred).
Strong expertise in developing interposer design flows and methodologies (preferred).

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