NVIDIA

NVIDIA

Posted via Workday

ASIC Design Engineer - New College Grad 2027

Posted Sep 29, 2026

Role at a glance

Job function
Engineering & R&D Semiconductor & Display Engineering
Salary
Not Disclosed
Location
Santa Clara, California, United States
Employment
New Grad
Education
Pursuing or recently completed a BS or MS in Electrical Engineering, Computer Engineering or Computer Science or related field or...

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Role Summary

AI-generated

The ASIC Design Engineer - New College Graduate will work on the GPU Design team, implementing and delivering RTL for SoCs and GPUs. The role covers design trade-offs, micro-architecture, verification and synthesis/timing readiness, and collaboration across design and implementation teams.

What You'll Do

  • Implement, document, and deliver high-performance, area- and power-efficient RTL to meet design targets and specifications.
  • Analyze architectural trade-offs based on features, performance requirements, and system limitations.
  • Develop micro-architecture, implement it in RTL, and deliver a fully verified, synthesis- and timing-clean design.
  • Coordinate with architects, designers, pre- and post-silicon verification teams, synthesis, timing, and back-end teams.
  • Work on IP such as GPU work schedulers, time distribution systems, interrupt controllers, and DMA engines.
  • Architect features for silicon debug and support post-silicon validation activities.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Pursuing or recently completed a BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent experience. Knowledge of micro-architecture and RTL development (Verilog); good understanding of ASIC design flow, including RTL design, verification, logic synthesis, and timing analysis; exposure to digital systems, VLSI design, computer architecture, and computer arithmetic is required. Strong interpersonal skills and an excellent teammate.

Preferred

  • Strong C/C++, Python, or Perl skills.
  • Good debugging and analytical skills.
  • Experience with arbiters, scheduling, synchronization, bus protocols, interconnect networks, or caches.

Original job description

Content provided by the employer

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! 


We are seeking an ASIC Design Engineer - New College Graduate to implement the world’s leading SoC's and GPU's. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence.


What you'll be doing:

  • As a key member of the GPU Design team, you will implement, document and deliver high performance, area and power efficient RTL to achieve design targets and specifications.
  • Analyze architectural trade-offs based on features, performance requirements and system limitations.
  • Craft micro-architecture, implement in RTL, and deliver a fully verified, synthesis/timing clean design.
  • Collaborate and coordinate with architects, other designers, pre- and post-silicon verification teams, synthesis, timing and back-end teams to accomplish your tasks.
  • Work on a broad list of IPs such as GPU's work scheduler, time distribution system, interrupt controllers, and DMA engines.
  • Architect features to help silicon debug and support post-silicon validation activities.

What we need to see:

  • Pursuing or recently completed a BS or MS in Electrical Engineering, Computer Engineering or Computer Science or related field or equivalent experience
  • Knowledge of micro-architecture and RTL development (Verilog).
  • Good understanding of ASIC design flow including RTL design, verification, logic synthesis and timing analysis.
  • Exposure to Digital systems and VLSI design, Computer Architecture, Computer Arithmetic is required.
  • Strong interpersonal skills and an excellent teammate.

Ways to stand out from the crowd:

  • Strong C/C++, Python or Perl skills.
  • Good debugging and analytical skills.
  • Experience with arbiters, scheduling, synchronization & bus protocols, interconnect networks, caches 

NVIDIA is 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. If you are creative, autonomous and love a challenge, 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 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 October 2, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.