Senior PHY System Engineer

Reposted Yesterday
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Yokneam
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior PHY System Engineer is responsible for end-to-end link level performance verification and debugging, using lab equipment and software tools to characterize optical and electrical performance, and manage testing flows for high-speed system engineering.
Summary Generated by Built In

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for excellent people like you to help us accelerate the next wave of artificial intelligence.

We are looking for a skilled, creative, and highly motivated Senior PHY System Engineer to join the End-to-End (E2E) physical-layer performance team, as part of the Post-silicon department

What you’ll be doing:

  • End-to-End responsibility on the link level performance characterization, verification, and debugging.

  • Debugging of link issues of NVIDIA systems, while diving into the product HW design and SW/FW operation.

  • Characterizing optical and electrical performance using lab equipment and SW tools.

  • Take an active part in silicon bring-up while managing E2E testing of newest ASICs, with the objective of driving product to mass production with first-in-class performance.

  • Characterizing products’ performance using lab equipment, such as oscilloscope, Spectrum/Network analyzer, Pattern-generator, etc.

  • Working in front of various test teams, with the responsibility of addressing issues and monitoring the test flows conducted by them

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

  • Testing NVIDIA Electro-Optical and Electrical chips and systems.

  • Defining testing requirements for new products based on electrical and optical specifications.

What we need to see:

  • B.Sc degree in Electronic Engineering.

  • 5+ years of proven experience in a High-Speed system engineering role.

  • Strong problem-solving, debugging, and analysis with examples to prove it. basic SW debug abilities.

  • Basic understanding of PCB layout and high-Speed board design issues. Basic experience in SW architectures.

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

Ways to stand out from the crowd:

  • Deep understanding of technology and passion for what you do.

  • Experience in customer technical support Experience with industry specifications such as IEEE/OIF etc.

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

  • Familiar with optical assembly designs/components (high-speed optical cables/lasers/diodes). Basic scripting skills (Python, Matlab).

  • Experience with establishing complex lab setups using various high-speed lab optical equipment (Fast O/E & E/O converters, Optical spectrum analyzer, etc.) as well as electrical (oscilloscopes, VNA, spectrum analyzers, traffic generators, etc.)

NVIDIA is 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. 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

Asics
Electronic Engineering
High-Speed Board Design
Matlab
Pcb Layout
Python
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The Company
HQ: Santa Clara, CA
21,960 Employees
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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