NVIDIA Corporation

Applied Research Engineer, Chip Design

NVIDIA Corporation • $192K — $356K *
Santa Clara, CA 95051In-Person
Telecommunications & Hardware
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • MS or PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, or related field.
  • 8+ years of proven industry experience
  • Domain and technical expertise in front-end ASIC with project experience applying AI to chip design.
  • Hands-on experience building LLM-based agents or AI tooling for real user contexts.
  • Experience with custom model training and proprietary technical data.
  • Excellent self-motivation and collaboration skills.
  • Experience building infrastructure (Docker, Slurm, CI/CD, etc.).

Responsibilities

  • Apply LLMs and agentic systems to core ASIC design problems.
  • Deliver on NVIDIA's internal chip design schedules to enhance ASIC teams' efficiency.
  • Build robust data generation and evaluation methodology for automation decisions.
  • Integrate coding agents into EDA and validation flows for enhanced productivity.
  • Push the limits of chip design using models and research on open-source foundations.
  • Collaborate with the Nemotron team to improve models with domain-specific feedback.

Benefits

  • Hybrid work model allowing flexibility in work location.
  • Eligibility for equity as part of compensation.
  • Opportunity to work with cutting-edge AI and chip design technologies.
  • Collaborative environment fostering creativity and innovation.
  • Access to training and professional development resources.
Full Job Description
What you'll be doing:
  • Apply LLMs, coding agents, and agentic systems - to core ASIC design problems: RTL generation, Design and Formal verification, PPA prediction and optimization.
  • Hands-on experience with LLMs, RL, RLHF/RLAIF, post-training, evaluation, graders, synthetic data, model training, coding agents, tool-using agents, and production ML systems
  • Deliver against NVIDIA's internal chip design schedules and activities - your success is measured by how much faster the ASIC teams move, not by research output alone.
  • Build robust data generation (including synthetic data) and meticulous evaluation methodology that separates working systems from demos and use evaluation to decide what to automate next.
  • Wire coding agents and agentic AI into EDA and validation flows - simulation, regressions, waveform and log analysis, script generation - so engineers can drive complex tasks and cut ramp time.
  • Push the limits of what's possible in chip design with models and research harnesses on top of open-source foundations and iterating fast from prototype to production.
  • Partner closely with NVIDIA's internal Nemotron team to improve our models with domain-specific data, feedback, and post-training, feeding ASIC-design expertise back into the models.


What we need to see:
  • MS or PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, or related field.
  • 8+ years of proven industry experience
  • Domain and technical expertise in front-end ASIC (design, verification, timing) combined with project experience applying agentic AI to chip design and optimization problems, with a track record of driving ideas from conception through experimentation to production.
  • Hands-on experience building LLM-based agents or AI tooling that real users depend on context engineering, tool integration, orchestration, and failure analysis, with a focus on evaluation.
  • Experience with custom model training, fine-tuning, or post-training (SFT, RLHF/DPO) over proprietary technical data.
  • Excellent self-motivation, creativity, and a passion for applied research, plus tight-knit collaboration skills and the ability to work effectively within a team.
  • Experience building and maintaining infrastructure (Docker, Slurm, CI/CD, etc.).
  • Excellent written and verbal communication, with proven experience presenting and explaining complex technical work.


#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 192,000 USD - 304,750 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 July 27, 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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