1 day ago
Base Salary
$184k - $357k/yr
Responsibilities
- Define and own complete platform architecture for NICs and network management across computing clusters and data centers.
- Drive the strategic vision for coordinated platform solutions supporting AI training, AI inference, and cloud-native workloads.
- Lead cross-functional collaboration across GPU, NIC, DPU, network-management, hardware, software, and product teams.
- Define platform-level software stacks, APIs, and management frameworks for orchestrating networking, compute, and acceleration resources.
- Research emerging network technologies, GPU-networking convergence, and large-scale cluster management.
- Define and communicate software requirements with hardware platform architects for future hardware builds and architectural decisions.
- Direct large-scale, cross-functional engineering programs from architecture definition through delivery.
Requirements
- Bachelor's or master's degree in Computer Engineering, Computer Science, or Electrical Engineering, or equivalent experience.
- At least 8 years of experience in systems or platform architecture, including at least 5 years in a senior leadership or director-level role.
- Strong knowledge of NIC and DPU architectures, GPU computing, and large-scale network management.
- Demonstrated experience defining and delivering complex, multi-component platform solutions.
- Ability to align hardware, software, and product teams and influence at the executive level.
- Strong communication and presentation skills, adaptability, and ability to drive innovative solutions for complex requirements.
- Experience directing large-scale, cross-functional engineering programs through delivery at scale is preferred.
- Familiarity with UFM, DOCA, or Kubernetes networking is preferred.
- Background defining platform standards or reference architectures adopted across the industry is preferred.
Benefits
- Eligible for equity and benefits.
- Position is based in Santa Clara.
- Applications will be accepted at least until November 9, 2026.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.