Senior Post-Silicon PHY System Engineer

Posted 7 Days Ago
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Yokneam
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Post-Silicon PHY System Engineer will lead the validation and debugging of electro-optical and electrical products. Responsibilities include overseeing post-silicon bring-up, collaborating on silicon specs and calibration, developing methodologies for silicon validation, and conducting root-cause analysis of issues through lab experimentation.
Summary Generated by Built In

Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence, and Visualization. We are now looking for a hardworking Post Silicon Engineer to join this multifaceted and innovative team as part of Networking business unit. Working in the Silicon Solutions Engineering team, you will be responsible for the validation & debugging of Electro-optical & Electrical current and future products at NVIDIA. Focusing on testing PHY designs at system and chip level working as part of a team with logic design, circuit design, architects, FW & board engineers to ensure successful product development. The qualified candidate should be comfortable in a lab environment and should demonstrate a passion for the creation, execution, and improvement of post-silicon plans.

What you’ll be doing:

  • Leading post-silicon bring-up & characterization of new silicon with the objective of driving product to mass production

  • Involvement in setting the silicon and product specs – requirements to HW/FW/package/System arch/tools

  • Involvement in feature specs, calibration specs, test plans, and tool implementation

  • Definition of integration plan, coverage, timeline, resources, budget (lab)

  • Hands-on enablement and optimization for all Nvidia Electro-Optical and Electrical ICs

  • Leading data-driven discussions about the product functionality and areas for improvement

  • Develop new methodologies and automation to improve the silicon validation process

  • Leading root-causes analysis efforts (task forces) of silicon and optics issues through lab experimentation and collaboration with teams within NVIDIA

  • Establish complex lab setups using various high-speed electrical lab equipment (oscilloscope, Network analyzer, spectrum analyzer, BERT, etc.)

  • Supporting Application Engineering to resolve customer issues

What we need to see:

  • BSc degree in Electrical Engineering

  • 5+ years of relevant experience in a high-speed electrical test engineering role

  • Strong problem-solving, debugging, and analysis capabilities

  • Good knowledge of signal integrity and high-speed signal measurement of electro-optical high-speed interfaces

  • Proficient in the usage of electrical measurement tools such as oscilloscopes, BERTs & spectrum analyzers

  • Familiar with debugging platform-level boards /system

  • Scripting skills (Python and Matlab)

Ways to stand out from the crowd:

  • Deep understanding of technology and passion for what you do

  • Hands-on experience in lab measurements with emphasis on high-speed electro-optical designs

  • Experience with optical assembly designs/components (high-speed optical cables/lasers/diodes)

  • Strong collaborative and interpersonal skills, with an ability to successfully guide and influence

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hard-working people in the world working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA is committed to fostering a diverse work environment and is 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

Matlab
Python
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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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