Role at a glance
- Salary
- $136K – $264.5K/yr
- Location
- 3 Locations, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of flow and methodology development experience building flows for interposer design used by engineering teams at scale.
- Education
- BS in Computer Science, Electrical Engineering, or a related field (or equivalent experience)
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Role Summary
This role develops automation infrastructure, flows, and methodologies for NVIDIA’s advanced silicon interposer designs. The position works with interposer design engineers, package architects, and foundry partners to deliver production-quality solutions that support complex multi-die platforms and improve design workflows.
What You'll Do
- Design and develop VLSI flows and methodologies for interposer design.
- Develop maintainable, easy-to-use applications for project engineers.
- Develop flows, tools, and methodologies to construct, analyze, and validate interposer designs throughout the production flow.
- Optimize the daily workflows of interposer designers.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
BS in Computer Science, Electrical Engineering, or a related field (or equivalent experience); 5+ years of flow and methodology development experience; programming proficiency in Python and/or C++; experience applying AI/ML techniques in engineering workflows; and understanding of electrical engineering fundamentals relevant to VLSI interposer design.
Required
- BS in Computer Science, Electrical Engineering, or a related field (or equivalent experience)
- 5+ years of flow and methodology development experience building flows for interposer design used by engineering teams at scale
- Good programming fundamentals in Python and/or C++, including proficiency with data structures, algorithms, object-oriented design, and...
- Demonstrated experience applying AI/ML techniques in engineering workflows
- Strong understanding of electrical engineering fundamentals relevant to VLSI interposer design
Preferred
- Good understanding of VLSI package design along with interposer and IC physical design
- Strong expertise in developing interposer design flows and methodologies
Original job description
Content provided by the employer
Original job description
Content provided by the employer
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Interposers are one of the most technically demanding layers in advanced semiconductor packaging — a silicon bridge connecting multiple dies with thousands of micro-bumps, routing signals at densities that push the limits of current EDA. NVIDIA's interposer designs are among the most complex in the industry, and the team building automation infrastructure for them is a small group of high-impact engineers who define how that design process works. This position requires you to build flows and methodologies that automates interposer design, validates design rules, and accelerates the workflows of the interposer designers who depend on them. You'll work directly with interposer design engineers, package architects, and foundry partners to understand and solve the hardest problems and ship production-quality solutions that shape NVIDIA's next generation of multi-die platforms.
What you'll be doing:
Work with world-class interposer engineers to design and develop VLSI flows and methodologies for interposer design.
Develop applications to enable project engineers with an emphasis on maintainability and ease of use.
Develop flows/tools and methodologies to construct, analyze, and validate interposer designs at many different stages in the production flow.
Optimize the daily workflows of the world's top interposer designers.
What we need to see:
BS in Computer Science, Electrical Engineering, or a related field (or equivalent experience), and 5+ years of flow and methodology development experience building flows for interposer design used by engineering teams at scale.
Good programming fundamentals in Python and/or C++, including proficiency with data structures, algorithms, object-oriented design, and code quality practices.
Demonstrated experience applying AI/ML techniques in engineering workflows — this could include using LLMs for code generation and debugging, building ML-assisted design analysis tools, or integrating AI-assisted flows into EDA environments.
Strong understanding of electrical engineering fundamentals relevant to VLSI interposer design (signal integrity, power delivery, parasitic extraction, or equivalent).
Ways to stand out from the crowd:
Good understanding of VLSI package design along with interposer and IC physical design.
Strong expertise in developing interposer design flows and methodologies.
NVIDIA is widely considered to be the leader of AI computing, and 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're creative and autonomous, we want to hear from you.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.You will also be eligible for equity and benefits.
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.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.
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.