PHY System Engineer

Reposted Yesterday
Be an Early Applicant
Yokneam
In-Office
200K-250K Annually
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Responsible for testing and characterizing optical and electrical performance of NVIDIA's Electro-Optical chips, managing setups, and driving products to mass production.
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 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:

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

  • Link-level performance characterization, verification, and debugging.

  • Responsibility for complicated setups establishments, covering both optical and electrical components

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

  • Take an active part in silicon bring-up while managing E2E testing of the 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

What we need to see:

  • B.Sc degree in Electronic Engineering, or experienced practical engineering degree

  • 3+ years of proven experience in a high-speed electro-optical test engineering role.

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

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

  • 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.)

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).

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

Matlab
Network Analyzer
Oscilloscope
Pattern Generator
Python
Spectrum Analyzer
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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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