NVIDIA Corporation

Physical Design Methodology and Operations Engineer - New College Grad 2026

NVIDIA Corporation$100K — $189K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science or Computer Systems Engineering (or equivalent experience).
  • Proficiency in programming and scripting languages such as Python, Perl, C, or JavaScript.
  • Familiarity with distributed systems and large-scale compute infrastructure.
  • Demonstrated knowledge of web technologies and programming.
  • Experience with Linux.

Responsibilities

  • Design and support mechanisms for coordinating large-scale semiconductor design tasks globally.
  • Own, debug, and enhance production services across web browsers, containers, and bare-metal Linux hosts.
  • Develop web interfaces for configuring, launching, and analyzing EDA tools and design flows.
  • Modernize legacy services by migrating and re-architecting backends for improved reliability and observability.
  • Analyze job execution telemetry and tool quality data to enhance workflows and detect regressions.
  • Contribute to the invention of next-generation semiconductor design methodology.
  • Optionally participate directly in the physical design of GPU/SoC products.

Benefits

  • Equity participation opportunities.
  • Comprehensive benefits package.
Full Job Description
We are now looking for a Physical Design Methodology and Operations Engineer! You9ll join an small team that owns the infrastructure powering NVIDIA9s semiconductor design flows - coordinating hundreds of thousands of jobs per day across datacenters with 10,000+ hosts, serving over 1,000 chip designers worldwide. Our platform spans job orchestration, event-driven trigger systems, global service interconnection, web interfaces to tools, and a Jenkins-like CI/CD backbone - a production system with direct stakes in GPU, CPU, SoC and networking tapeouts. You9ll lead a functional area within the team while contributing across broader operations. There9s genuine latitude here: our stack includes mature Perl and Python services alongside modern React frontends and Elasticsearch-based telemetry, and we9re actively modernizing. If you want to inherit something real, improve it, and leave it better than you found it, this role is for you. What you9ll be doing:
  • Designing and supporting mechanisms for coordinating and maintaining large-scale semiconductor design tasks across multiple global datacenters.
  • Owning, debugging, and improving production services spanning web browsers, containerized microservices, and bare-metal Linux hosts.
  • Building web interfaces to configure, launch, and analyze EDA tools and design flows.
  • Contributing to the modernization of legacy services - migrating and re-architecting backends, improving reliability and observability.
  • Mining and analyzing large datasets of job execution telemetry and tool quality-of-results data to improve flows and catch regressions.
  • Helping invent next-generation semiconductor design methodology.
  • Optionally, contributing directly to the physical design of GPU/SoC products - a rare opportunity for an infrastructure engineer.
What we need to see:
  • Recent graduate with a Bachelor9s or Master9s degree in Computer Science or Computer Systems Engineering (or equivalent experience).
  • Programming and scripting skills in one or more languages such as Python, Perl, C, or JavaScript.
  • Knowledge about distributed systems and how large-scale compute infrastructure works.
  • Shown knowledge in web technologies and programming.
  • Linux experience.
Ways to stand out from the crowd:
  • Any exposure to workflow orchestration concepts or tools (Airflow, Argo, Luigi, or similar).
  • Experience with containerization technologies such as Docker or Kubernetes.
  • Familiarity with Elasticsearch / Kibana / Vega for telemetry and dashboarding.
  • Familiarity with MSSQL/Mysql/SQLite or other relational and NoSQL datastores.
  • Exposure to Static Timing Analysis or VLSI physical design.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 19, 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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