Used Tools & Technologies
Not specified
Required Skills & Competences ?
Security @ 4 Networking @ 4 Prioritization @ 4 Product Management @ 8 GPU @ 4Details
NVIDIA is building the next generation of data center technologies powered by GPU-accelerated compute. This role is responsible for owning the full product lifecycle for data center GPUs and working across hardware, system, and software domains to enable AI, HPC, cloud graphics, and video workloads.
Responsibilities
- Lead the full product lifecycle for data center GPUs: architecture definition, feature prioritization, roadmap, launch, and scale-out adoption.
- Define hardware, system, and software requirements across compute, networking, storage, and security to support AI, HPC, cloud graphics and video workloads.
- Partner with customers to capture requirements, validate designs, and ensure platform success in diverse data center environments.
- Conduct market and competitive analysis to drive next-generation GPU, interconnect, and system strategy.
- Drive alignment with engineering, architecture, operations, and supply chain teams to deliver products on time and at scale.
- Build reference architectures and data center deployment models for AI training, inference, and accelerated compute workloads.
- Create technical collateral (white papers, briefs, specifications, solution guides) and support customer-facing engagements.
- Position NVIDIA's accelerated compute solutions to technical and executive audiences, articulating performance, TCO, and AI workload benefits.
Requirements
- BS/MS or equivalent experience in Electrical Engineering (EE), Computer Engineering (CE), Computer Science (CS), or a related technical field.
- 10+ years of experience in product management or engineering.
- Demonstrated product management, solutions architecture, or platform engineering experience with emphasis on data center systems.
- Detailed understanding of GPU / accelerated compute architectures and their contributions to AI, HPC, and distributed storage systems.
- Experience with storage, security, networking, and high-performance computing workflows.
- Proven success moving products from concept to launch and achieving broad customer adoption.
- Excellent interpersonal skills and cross-functional collaboration abilities.
- Strong analytical skills and the ability to prioritize and manage multiple projects simultaneously.
Ways to stand out
- Comprehensive knowledge of AI model training/inference and secure workflows.
- Experience defining GPU, servers, data center infrastructure, or disaggregated architectures (GPU/DPU/accelerators).
- Track record in outlining hardware/software roadmaps for compute platforms.
Compensation & Benefits
- Base salary ranges by level (determined by location, experience, and comparator pay):
- Level 4: 168,000 USD - 258,750 USD
- Level 5: 208,000 USD - 327,750 USD
- Eligible for equity and benefits. (See provided benefits link in original posting.)
Additional information
- Location: Santa Clara, CA, United States (listed location).
- Applications for this job will be accepted at least until December 12, 2025.
- NVIDIA is an equal opportunity employer committed to fostering a diverse work environment and does not discriminate on the basis of protected characteristics.