Senior Technical Marketing Engineer – Semiconductor Design

at Nvidia

📍 Santa Clara, United States

USD 160,000-322,000 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 Communication @ 7 Machine Learning @ 4 Marketing @ 7 Parallel Programming @ 4 Software Development @ 7

Details

NVIDIA's Industrial Engineering organization is pushing the boundaries of accelerated computing in the electronic design automation (EDA) domain. The role focuses on creating technical content that educates developers and engineers about groundbreaking EDA solver technologies, encourages adoption of the NVIDIA platform, and demonstrates the platform's value through examples, documentation, tutorials, and workflow benchmarks.

Responsibilities

Collaborate with internal engineering and marketing teams and external partners to build product-based how-to technical content.
Deliver high-quality technical materials to engineers, developers, and scientists, including blogs, training materials, and whitepapers.
Maintain a suite of EDA benchmarking results to demonstrate the value of the NVIDIA platform in the EDA industry.
Build training materials and documentation that enable researchers and developers to solve ambitious technical problems.

Requirements

Bachelor's degree or equivalent experience in Physics, Engineering, Computer Science, or a related field.
6+ years of meaningful experience in software development, technical evangelism, technical marketing, developer marketing, or a similar area.
3+ years of experience with EDA or semiconductor workflows.
Strong communication and interpersonal skills.
Proven understanding of AI and machine learning techniques, parallel programming techniques, and software engineering.
Passion for communicating complex ideas in simple ways.
Hands-on familiarity with one or more industry tools, such as PrimeSim, Spectre X, Cadence Innovus, Cadence Voltus, Synopsys/Ansys Lumerical, Synopsys/Ansys Speos, Synopsys/Ansys Zemax OpticStudio, or Synopsys VCS.

Preferred Qualifications

Master's degree or higher from a leading university in an Engineering or Computer Science-related field.
Experience developing engineering applications using NVIDIA technologies.
Existing public-facing technical content or forum contributions.
Extensive experience in the EDA or semiconductor industry.

Compensation and Benefits

Base salary range of USD 160,000–253,000 for Level 4.
Base salary range of USD 200,000–322,000 for Level 5.
Eligibility for equity and benefits.

NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment. Applications will be accepted at least until July 31, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.