Senior Signal Integrity Design Engineer

Posted 2 Days Ago
Be an Early Applicant
Santa Clara, CA
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Signal Integrity Design Engineer will work on crafting innovative Signal Integrity solutions, perform modeling and optimization using 3D EM tools, conduct system-level simulations, and correlate SI models using lab measurements in collaboration with a cross-functional team.
Summary Generated by Built In

We are now looking for a Senior Signal Integrity Design Engineer! 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 imagination and intelligence. This is a dynamic team working with state of the art, unique technology. If you are someone that loves a challenge, come join this diverse team and help move the needle!

What you'll be doing:

  • Work on crafting creative Signal Integrity solutions to complex system design problems.

  • Modeling and Optimization of vias, connectors, sockets, breakouts and various system components in 3D EM tools.

  • System-level signal integrity simulations in any one of the high-speed GDDR7/6X, LP5X, DDR4/5, HBM3/4, DRAM interface

  • SI model correlations using lab measurements to improve modelling tool/methodology. 

  • Package substrate and board layout SI design constraint creation, review with pre/post layout SI

  • Opportunity to work in a dynamic cross-functional role to optimize package, PCB, ASIC, SerDes designs.

What we need to see:

  • BS/MS-Electrical Engineering or equivalent experience

  • 3+ years of industry experience.

  • SI work on one or more signaling standards like PCI express, USB, SATA, HDMI, HBM, DDR5, GDDR6, LPDDR5X, etc.

  • Hands on use of 3-D modeling tools like ANSYS HFSS/Q3D, 2.5-D with ANSYS SIWAVE or similar and 2D such as Ansys2D.

  • Familiarity with a system level timing or loss budget including silicon, package and board impairments.

  • Background with use of VNA, TDR, DSO, ParBERT and use of tools/applications like ADS, Ansys Designer, JMP, Matlab, Cadence Allegro will be a plus.

Ways to stand out from the crowd:

  • Expertise in one or more of the high speed interface SI/PI design on any industry standard system platforms.

  • Experience with lab measurements, debugging, SI lab correlation using oscilloscope/ spectrum analyzer/ VNA.

  • Knowledge of circuit design, board/pkg technology & design flow,  link architecture, timing budget methodologies.

  • Familiarity with PDN evaluation using layout extraction tools for packages and PCBs.

The base salary range is 136,000 USD - 471,500 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.

Top Skills

Ads
Ansys Designer
Ansys Hfss
Ansys Siwave
Ansys2D
Cadence Allegro
Jmp
Matlab
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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