Senior Product Architect
Overview
- Added in 30 days
- 658
- At this company, still open
Skills named in this posting
- Microarchitecture
NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence.
NVIDIA is looking for a Product Architect to help define & design SoC- and GPU-based products and drive hardware/software feature improvements through collaboration with the ASIC/System/SW teams.
What you'll be doing:
• Participate in every facet of the definition, positioning, architecture, and execution of GPU and SoC-based products. Fields include but not limited to automotive, robotics, industrial PC, consumer electronics, medical devices, etc.
• Define the architecture of the products and provides guidance to the design engineers on the alignment of topologies and implementations.
• Provide guidance to the cross-function team to pursue the balance of product cost, performance, and schedule.
• Closely drive resolution of issues and bugs gating the completion of schedule.
What we need to see:
• 6+ years of experience as a Product Architect for chip, platform and hardware optimization of leading industry solutions.
• BS/MS degree (or equivalent experience) in Electronic Engineering or related field.
• Ability to delve into technical details of the product, and strong ability to justify proposed solutions with both business and technical partners within the organization.
• Have strong analytical skills including past experience in PCB design and Product.
• Motivation and ability to manage concurrent projects, constituents, and priorities with tight deadlines in a multifaceted environment.
• Excellent communication skills required to work well with multi-functional teams from algorithms and software to hardware micro-architecture and silicon design teams.
• Experience with DFx (Design for cost, test, manufacturing), Schematic, PCB Layout, Signal Integrity, Factory manufacture.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you! Come, join our Architecture team and help build the real-time, efficient computing platform driving our success in this exciting and quickly growing field.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 30, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
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Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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