Join NVIDIA, a trailblazer at the forefront of graphics and artificial intelligence performance, efficiency, and innovation. From our roots as a groundbreaking graphics company, we have evolved into a global leader in artificial intelligence, pushing the boundaries and solving sophisticated challenges across diverse industries. Within NVIDIA, the Silicon Solutions Group (SSG) operates as a dynamic nexus, interfacing across various functions to craft the next generation of NVIDIA GPUs. These efforts fuel breakthrough AI, deep learning (DL), and machine learning (ML) capabilities across various applications. At SSG, we're more than a team; we're a collaborative force, engaging with numerous departments—from architecture and design to timing and productization—to bring NVIDIA's entrepreneurial, groundbreaking technologies to life.
The Opportunity: Manager, Speed and Reliability System Architecture. Our Speed, Reliability, and Power Modeling team, nestled within SSG, is dedicated to groundbreaking system architecture features that improve speed, ensure reliability, and optimize power modeling for all NVIDIA silicon projects. We are integral to NVIDIA's innovation trajectory from inception to mass production. As a Manager, you will helm the System Architecture charter for the Speed and Reliability team, driving design-to-silicon correlation and setting new standards for excellence.
What you'll be doing:
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Lead and Encourage: Drive the SSG Speed/Reliability Architecture and Methodology functions, setting a benchmark for excellence and innovation.
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Navigate Complexity: Take on intricate features with a deep understanding of architecture and design, steering the team towards groundbreaking product developments.
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Strategize and Align: Champion system architecture guidelines for speed and reliability across all chip features, ensuring cohesive alignment within NVIDIA's diverse market sectors, including data centers, consumer electronics, and automotive.
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Impact and Influence: Collaborate with SSG leadership to define operational goals and strategic policies that amplify our impact across the tech landscape.
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Empower and Lead: Champion an environment of empowerment, innovation, and resilience, mentoring team members to accept challenges and achieve remarkable outcomes.
What we need to see:
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Experienced Leader with a passion: BS or equivalent experience in Electrical Engineering (Master's preferred). With 15+ years of experience in silicon bring-up and productization, your expertise sets you apart.
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Silicon Savvy: Your expertise in silicon speed and reliability, coupled with your knowledge in PVT, process and device physics, and timing closure, enables you to translate complex concepts into tangible product innovations.
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Transformational Mentor: Your ability to guide, encourage, and mentor your team. Foster a collaborative environment ripe for breakthroughs.
At NVIDIA, you're not just joining a company; you're joining a revolution—a place where innovation thrives, and the boundaries of the possible are continuously redefined. Here, your work impacts industries, shapes markets, and contributes to projects that matter. We have some of the world's most forward-thinking and dedicated people working for us. We want to hear from you if you're creative and passionate about developing cloud services!
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The base salary range is 232,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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
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.”