Senior Mixed Signal Design Engineer

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Santa Clara, CA
Internship
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice and join us today!

We are looking for mixed-signal/analog design engineers to be part of the team building next generation High Speed IOs for GDDR/HBM Memory Interfaces. This position offers the opportunity to have real impact in a dynamic, 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:

  • You will be responsible for the development and implementation of high speed interfaces and analog circuits.

  • Hands on experience taking creative integrated circuit designs at data rates of 20Gbps and higher from concept through silicon characterization.

  • Define circuit requirements and complete design from schematic, layout, and verification to characterization.

  • Conduct schematic design of deep-submicron CMOS technologies using Spectre, Hspice or like.

  • Take ownership for the architecture, transistor design and verification using industry standard EDA tools such as Cadence virtuoso.

  • Optimize circuit to meet the specifications for system performance.

  • Work with layout engineers by providing detailed floorplan and guidance for matching and high-speed routings.

  • Provide support for post-silicon bring-up and debugging.

What we need to see:

  • Master of Science or foreign equivalent degree in Electrical Engineering, Computer Engineering or related field with strong analog design background (or equivalent experience).

  • 5+ years of proven experience in crafting test bench environments for component and top level circuit verification.

  • Strong Mixed-signal/Analog circuit design fundamentals.

  • CMOS Analog / Mixed Signal Circuit Design Experience in deep sub-micron process (especially in FINFET).

  • Experience with design and verification tools (Cadence's IC design environment, analog circuit simulation tools like Spectre, HSpice, Finesim, XA).

  • Behavioral modeling of analog and digital circuits.

  • Strong debugging and analytical skills.

  • Analog simulation for noise analysis, loop stability analysis, ac/dc/tran analysis, monte-carlo, etc.

  • Strong interpersonal skills and ability and dream to work as an outstanding teammate are huge plus.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you!

The base salary range is 164,000 USD - 304,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse 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.

The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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