NVIDIA Corporation

Applied Machine Learning Engineer - AI for VLSI Design

NVIDIA Corporation$152K — $264K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Electrical/Computer Engineering or equivalent experience with 3+ years of relevant work, or PhD with 1+ year of experience.
  • In-depth knowledge of Combinatorial Optimization, Agentic AI, and large language models in the context of EDA (Electronic Design Automation).
  • Strong background in Algorithms, Data Structures, Applied Math, Machine Learning, and Software programming, proficient in Python and C++.
  • Demonstrated expertise in Machine Learning applications specifically within Chip Design and EDA sectors.

Responsibilities

  • Collaborate with a cross-functional team on Pre-silicon and Post-silicon custom circuit design projects.
  • Research and apply cutting-edge techniques in electronic design automation to enhance current processes.
  • Develop innovative agentic AI solutions aimed at solving VLSI design challenges.
  • Conduct problem analysis and dataset evaluations to formulate, test, and refine hypotheses, ultimately designing effective models and algorithms to achieve target Quality of Results (QOR).

Benefits

  • Hybrid work model allowing flexibility between remote and on-site work.
  • Equity options as part of overall compensation package.
  • Access to continuous learning opportunities and professional growth.
  • Collaborative work environment with multi-functional teams across various organizational realms.
Full Job Description
Our team builds AI-driven software systems for Circuit Design: combining automation algorithms, DL models and agentic workflows to accelerate end-to-end design automation. Come join this integral team in our Circuit Solutions Group! What you'll be doing: • Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon custom circuit design and related data, Circuit/Layout Optimization and Spice correlation • Research and implement techniques on frontier solutions of electronic design automation. • Build and innovate agentic AI solution for VLSI design problem. • Responsible for analyzing the problem or datasets, raise and validate hypotheses, design and build models and algorithm until they reach the desired QOR. What we need to see: • MS (or equivalent experience) with 3+ years' experience or PhD with 1+ years' experience in Electrical/Computer Engineering degree • Experience in the following fields is a strict requirement for this role: Combinatorial Optimization, Agentic AI and large language models, Machine Learning for Chip Design & EDA • Experience in Algorithms/Data Structures/Applied Math/Machine Learning/Software programming with proven ability in writing code in Python, C++ is required. • Experience in Applied Math/Machine Learning/Software programming with proven ability in writing code in Python, C++ is required Ways to stand out from the crowd: • Prior experience in large-scale EDA software development is a plus. • Prior experience in CMOS layout drawing, including schematic-to-layout translation and DRC/LVS compliance, is a definite plus • Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams) • Effective verbal/written communication, and technical presentation skills • Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 26, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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