NVIDIA is looking for a highly motivated Senior Silicon Engineer to join our multifaceted and fast-paced Applied Power Arch team! With competitive salaries, generous benefits package and an outstanding culture, we are widely considered to be one of the technology world’s most desirable employers. The Applied Power Architecture Team architects and delivers innovative power features for productizing NVIDIA's chips into consumer, professional, server, mobile, and automotive markets. The team also is responsible for building power estimation tools and architecture driven models. As part of the team, we are responsible for silicon power characterization, correlation to arch & design expectations, development and silicon calibration of power models and building infrastructure for power measurements. Dealing with challenges of the cutting edge process node technologies is also part of the work. We are looking for one who has passion towards electronics & hardware in general. The person should have sufficient orientation towards system level interactions of hardware and software.
What you'll be doing:
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Work with Arch, Design & validation teams to perform power bring up, characterize power saving & power management features
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Perform correlation of silicon KPIs with pre-si expectations.
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Work with HW and SW teams to optimize silicon power and perf/watt
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Create test plans and design experiments to accomplish goals identified for various studies
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Collect and analyze silicon power data to enable future chips’ power estimation models, design experiments to finalize modelling methods
What we need to See:
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BTech/BE degree in Electronics with at least 4 years of work experience. MTech is preferred too
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Experience in post silicon validation/silicon bring up is highly preferred
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Familiarity with scripting languages like perl and/or python
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Good knowledge in board and system design considerations, Power supply design
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Very good problem solving and hardware debugging skills
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Very good data analysis and logical reasoning skills
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Experience in working with windows & Linux
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An understanding of PC and SOC architecture and various commonly used buses
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Must be a true team mate and ready to work with global teams from diverse cultural backgrounds in a high energy environment
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
Top Skills
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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