GPU Silicon Validation Engineer

l development. We work hand-in-hand with the design, verification, productization, hardware and software teams to enable world-class GPUs in the embedded space. In this role, you will be responsible for a variety of silicon validation tasks such as functional testing, silicon characterization, analyzing and reporting results, power and performance validation, and triaging complex hardware and software issues.

Description

In this role you will:

• Define, execute, and communicate plans to perform GPU functional and electrical testing.

• Lead LVcc and margin analysis methodologies and tool development.

• Architect validation methodologies for upcoming technology advances and product changes.

• Identify and drive improvements in validation and debug methodology and tools.

• Lead discussions with stakeholders on manufacturing test suites, debug, and improvements.

• Lead fail triage and debug of underlying embedded GPU issues.

• Learn and support all GPU silicon validation tasks.

• Maintain, develop, and improve automation tools for validation and debug.

• Configure system HW and SW for silicon validation.

Preferred Qualifications

Experience with LVcc / margin analysis.

Expertise with device physics and transistor behavior.

Experience leading debug of hardware and software issues in an embedded system.

Experience with performing electrical measurements.

Experience with manufacturing test methodology.

Leadership and/or mentoring experience in an engineering environment.

Experience managing a validation project from planning through final execution.

Experience with data collection and analysis using lab equipment.

Ability to work well on a team in order to be productive under aggressive product schedules.

Strong written and verbal communication skills.

Experience reading schematics.

Experience performing performance and power measurements.

Minimum Qualifications

BS + 10 years of relevant experience.

Previous silicon validation experience required.

Experience in C/C++ and one or more of the following scripting languages: python, TCL/expect.

Experience with system and SOC architectures.

Experience with CPU or GPU architectures.

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