NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains ofdata center,computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As a NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work.
NVIDIA is looking for an ASIC methodology manager who will be responsible for developing new features and optimizing silicon validation flow & process to improve productization work efficiency and quality.The qualified candidate needs to have strong programming skills, communication skills, broad ASIC design and system feature development knowledge.
What You'll Be Doing:
Collaborating with senior leaders to developnew system features architecture, and drivethe design for productization, including new feature prototype studies, ROI analysis, new solution proposal, use case analysis and process enhancement.
Develop, supervise and refinenew features developmentplans includedroadmap proposal, teamstaffing, schedules,andcontingencies. Test all plans against precision.
Continually identify and communicate the most critical priorities on theprojects. Leadtheteam to complete those priorities.
Champion a culture of excellence, continuous process improvement, including automation and corrective actions.
Engagethe cross-function teamsto achieve the highest levels of product performance and quality. Align all parties with clear requirements and timelines.
What We Need To See:
Over 15years of overall relevant experience withat least 5years of management experience in thesemi-conductorindustry.
Master's degree in Electrical Engineer, Computer Engineer or Computer Science or equivalent experience.
Detailed knowledge ofGPU and SOCarchitectures.Clear understanding of technical challenges that must be met to deliver industry leading platforms.
Proven record at Power Architecture, Clocks/Circuit Design, and Bounding-Box definition.Strong understanding ofsystemvalidation equipment, engineering tools and standard methodologies. Alert to industry trends and opportunities for improved product development.
Ability to empower and leadtheteam to tackle sophisticated System/HW/SW integration challenges.
Excellent verbal, written and presentation communications skills, organizational capabilities, and collaborative and interpersonal skills.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate on developing cutting edge methodologies to boost super complexed design, we are here waiting to hear from you!
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.