Full-Time

Physical Design Interposer Engineer

Updated on 9/9/2026

Deadline 9/13/26
NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$168k - $310.5k/yr

+ Equity

Company Historically Provides H1B Sponsorship

California, USA + 2 more

More locations: Austin, TX, USA | Santa Clara, CA, USA

Remote

Bachelor's

Category
Software Engineering
Required Skills
LLM
Python
Data Structures & Algorithms
Machine Learning
C/C++

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Requirements
  • A Bachelor of Science degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
  • At least 8 years of flow and methodology development experience building flows for interposer design used by engineering teams at scale.
  • Programming proficiency in Python and/or C++, including data structures, algorithms, object-oriented design, and code quality practices.
  • Experience applying artificial intelligence or machine learning techniques in engineering workflows, such as using large language models for code generation and debugging, building machine-learning-assisted design analysis tools, or integrating artificial-intelligence-assisted flows into electronic design automation environments.
  • Strong understanding of electrical engineering fundamentals relevant to very-large-scale integration interposer design, including signal integrity, power delivery, and parasitic extraction, or equivalent knowledge.
Responsibilities
  • Work with interposer engineers to design and develop very-large-scale integration flows and methodologies for interposer design.
  • Develop applications that enable project engineers, with an emphasis on maintainability and ease of use.
  • Develop flows, tools, and methodologies to construct, analyze, and validate interposer designs at different stages in the production flow.
  • Optimize the daily workflows of interposer designers.
Desired Qualifications
  • Understanding of very-large-scale integration package design, interposer design, and integrated-circuit physical design.
  • Expertise in developing interposer design flows and methodologies.

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

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Simplify Jobs

Simplify's Take

What believers are saying

  • Amazon ordered 2 million GPUs for 2027-2028, validating hyperscaler demand.
  • August 2026 Lancium investment secured 4 GW leased capacity and 15 GW pipeline.
  • Blackwell Ultra and Vera Rubin shipments began; production ships in late 2026.

What critics are saying

  • Taiwan prosecutors indicted NVIDIA staff August 24, 2026 over illegal China server exports.
  • China’s antitrust probe still threatens fines, remedies, and slower mainland sales.
  • China export controls and ASIC substitution can cut NVIDIA off from a trillion-dollar market.

What makes NVIDIA unique

  • CUDA and NVLink lock developers into NVIDIA’s full-stack AI platform.
  • FY2026 revenue hit $215.9 billion, with data center revenue $193.7 billion.
  • Rubin launched February 2026, targeting 10x lower inference costs than Blackwell.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
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NVIDIA has delivered a 14,460% return over the past decade, turning $10,000 into approximately $1.45 million. The company's stock currently trades near $226.18, with analysts setting a 12-month price target of $308.85, implying 36.55% upside. NVIDIA reported fiscal Q2 FY27 revenue of $96.22 billion, up 105.85% year-over-year, with data centre revenue hitting $89.02 billion. The company projects Q3 revenue of $108 billion at 74% gross margins. CEO Jensen Huang stated that demand significantly exceeds NVIDIA's current supply capacity. Management guided fiscal 2028 revenue growth of approximately 70%, describing it as supply-constrained. Top-five hyperscaler capital expenditure is projected at nearly $800 billion in 2026 and $1.3 trillion in 2027.

Fortune
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Nvidia CEO declares AGI achieved with OpenAI's Astra, but markets remain unmoved

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