NVIDIA Corporation

Senior Applied Machine Learning Engineer - VLSI Design

NVIDIA Corporation • $152K — $264K *
Santa Clara, CA 95051In-Person
Consumer Technology
Less than 5 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • MS/PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics, or equivalent experience
  • 4+ years experience in circuit design, VLSI, ASIC, EDA, or Silicon analysis
  • Proficiency in programming with Python and C++
  • Familiarity with machine learning (ML) and deep learning (DL) algorithms using frameworks like TensorFlow, PyTorch, or Spark

Responsibilities

  • Collaborate in multi-functional teams on pre-silicon and post-silicon hardware design projects
  • Analyze silicon data and manufacturing process variations
  • Translate project requirements into data science problems and architect solutions
  • Test and implement models that integrate with existing machine learning tools
  • Analyze datasets, validate hypotheses, and extract features for modeling
  • Optimize algorithms and models to meet quality of results (QOR)

Benefits

  • Equity participation
  • Access to a diverse and supportive work environment
  • Opportunities for continuous learning and professional growth
  • Flexible working arrangements with a hybrid model
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.

What you'll be doing:
  • Work within a multi-functional team on projects involving pre-silicon and post-silicon hardware design data, circuit optimization, SPICE correlation, and AI systems for EDA/design automation.
  • Work on applications ranging from silicon data analysis, manufacturing process variation analysis, VLSI circuit design, timing, and agent-driven design exploration and agent flow optimization.
  • Translate requirements into data science, AI/ML, and agentic system problems; architect and build solutions.
  • Test and release models and AI systems that integrate with existing machine learning, design automation, and visualization tools within the organization.
  • Analyze datasets, raise and validate hypotheses, extract relevant features, and build models and self-improving workflows on top of them.
  • Optimize models, algorithms, and autonomous optimization systems until they reach the desired QOR.


What we need to see:
  • MS/PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics, or equivalent experience.
  • 4+ years experience in circuit design, VLSI, ASIC, EDA, silicon analysis, or custom circuit design is required.
  • Prior experience in Applied Math/ML/Software programming with proven ability in writing code in Python and C++.
  • Experience with deep learning algorithms, AI agent frameworks, and tools such as PyTorch, LangChain, or LangGraph is a definite plus.


Ways to stand out from the crowd:
  • Experience building AI systems for EDA, design automation, or circuit design workflows.
  • Research or project experience in AI-driven EDA, circuit optimization, design-space exploration, or autonomous design systems.
  • Experience building agentic systems, autonomous optimization loops, self-improving AI systems, or production-scale AI/ML platforms.
  • Effective verbal/written communication and technical presentation skills.
  • Self-starter with passion for growth, 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 June 7, 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
Manufacturing & Automotive
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ
NVDA
* Ladders Estimates

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