NVIDIA Silicon Solutions Group is now looking for an IO Electrical and power validation Engineer to be part of team! As a member of this team, you are responsible for developing methodologies for electrical and interface power requirements. You will cover products in all business units that NVIDIA provides solutions for. Prior experience in the lab with system level post silicon High speed electrical validation, characterization of analog/mixed signal IP and associated debug

What you will be doing:

• Drive planning and execution of electrical and PHY power bring up, system level feature validation, corner qualification and resulting debug on NVIDIA Silicon

• Drive related schedule, programming guides, customer escalations, manufacturing yield improvements and design feedback

• Coordinate with logic design, circuit design, board design, Simulation, diagnostics, ATE, firmware, driver and marketing teams

• Develop new methodologies to improve the silicon validation process

• Find innovative solutions to complex silicon and system level problems to productize silicon and refine future designs.

What we need to see:

• BTech/BE degree with at least 3 years of relevant experience working in analog, serdes IP validation

• Strong EE fundamentals, knowledgeable in digital design, signal integrity, statistics, timing analysis, fault analysis, and computer architecture.

• Excellent knowledge of Signal integrity concepts, Jitter, Silicon characteristics and high-speed interface electrical characterization interfaces (any of PCIe-gen3/Gen4, USB3, Thunderbolt, SAS, DDRx or similar protocols)

• Thorough knowledge of lab/measurement equipment (DSOs, BERT, VNA, Protocol analyzers, Data Acquisition units) is required

• Strong data analysis skills. Prior experience working with volume data is a plus.

• Expert programming skills in one or more of Python, JavaScript, C/C++

Ways to stand out from the crowd:

• Deep understanding of technology and passionate about what you do.

• Familiarity with statistical methods and tools for data analysis.

• Strong collaborative and communication skills, specifically a shown ability to effectively guide and influence within a dynamic environment.

• Strive to be a standout colleague and be ready to work with global teams from diverse cultural backgrounds in a high energy environment.