NVIDIA Corporation

Senior AI Systems Engineer, Chip Design

NVIDIA Corporation$184K — $356K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS/MS/PhD in Computer Science, Electrical/Computer Engineering, or a related field (or equivalent experience).
  • 6+ years of experience building AI-driven software systems, ideally in complex engineering workflows.
  • Strong programming skills in Python and experience developing production-quality systems.
  • Demonstrated experience with AI agents or learning-based decision systems (e.g., RL, planning, LLM-based agents).
  • Proficiency with modern ML frameworks (PyTorch, TensorFlow) and data-driven model development.
  • Strong problem-solving and collaboration skills. Well-versed in translating design challenges into agent-driven solutions.

Responsibilities

  • Create and integrate AI agents to enhance VLSI design efficiency, productivity, and quality.
  • Collaborate on the design and implementation of algorithms to optimize VLSI design processes.
  • Contribute to developing software tools and frameworks supporting AI integration in VLSI design.
  • Analyze and interpret data for patterns that inform AI-driven design methodologies.
  • Keep updated on advancements in machine learning, deep learning, and VLSI design to enhance solutions.

Benefits

  • Generous benefits package that includes equity options.
  • Opportunities to work within a highly diverse and supportive team environment.
  • Exposure to cutting-edge technology and methodologies in AI and VLSI design.
Full Job Description
We are looking for talented Software Engineers to work on developing and deploying an AI agent that leverages machine learning models to solve complex problems in VLSI design. The ideal candidate will have a strong background in computer science, electrical engineering, or a related field, with experience in machine learning, deep learning, and software development. The successful candidate will work closely with our team of experts in VLSI design, machine learning, and software engineering to create and integrate machine learning-based solutions that enhance the efficiency, productivity, and quality of our VLSI design flows.

What you will be doing:
  • Create and integrate AI agents to enhance the efficiency, productivity, and quality of VLSI design flows.
  • Collaborate on the design and implementation of algorithms and models that can optimize VLSI design processes.
  • Contribute to the development of software tools and frameworks that support the integration of AI in VLSI design.
  • Analyze and interpret data to identify patterns and insights that can inform the development of AI-driven design methodologies.
  • Stay ahead of the latest advancements in machine learning, deep learning, and VLSI build to continuously improve our solutions.


What We Need to See:
  • BS/MS/PhD in Computer Science, Electrical/Computer Engineering, or a related field (or equivalent experience).
  • 6+ years of experience building AI-driven software systems, ideally applied to complex engineering workflows.
  • Strong programming skills in Python, with experience developing production-quality systems.
  • Demonstrated experience designing and applying AI agents or learning-based decision systems (e.g., RL, planning, LLM-based agents) to optimize processes.
  • Proficiency with modern ML frameworks (PyTorch, TensorFlow) and data-driven model development.
  • Strong problem-solving and collaboration skills, with the ability to translate complex design challenges into agent-driven solutions.


Ways to stand out from the crowd:
  • Experience with Large Language Models (LLMs) and their applications in software and AI development
  • Proficiency in standard methodologies for software development, including version control, testing, and CI/CD.
  • Deeply interested in learning disparate concepts and putting them together in innovative new ways


With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 4, 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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