Platform Software Product Manager

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Product Manager for NVIDIA's datacenter products, focusing on GPU and CPU product lines. The role involves understanding customer requirements, working with engineering teams, developing product requirements, and leading technical direction and roadmap. Requires 8+ years of experience in technology, BS/MS in a technical field, and knowledge of processor, software, and server architectures.

What you'd actually do

  1. Develop a deep understanding of requirements for datacenter products, closely working with customers, industry specialists, and various teams in NVIDIA
  2. Work with engineering teams to compose, evaluate, and review the customer product presentations, whitepapers, and other technical collateral
  3. Engage directly with our largest customers to capture feedback and requests, develop effective sales collateral and tools to scale the impact our products make
  4. Develop written product requirements which would include platform and device telemetry, software lifecycle management, and serviceability metrics
  5. Work with internal teams as well as our partners to ensure availability of key IP, tools, and software for product success

Skills

Required

  • 8+ years of total experience in technology with design management, engineering, or design experience highly valued
  • BS or MS in engineering, computer science, or another technical field, or equivalent experience
  • Direct technical knowledge of processor, software and server architectures
  • Understanding SoC hardware design and typical interfaces
  • Strong desire to learn
  • strong problem solving
  • developed ability to make sophisticated trade-offs

Nice to have

  • MBA a plus
  • Examples of customer facing technical whitepapers, presentations, and similar
  • In-depth knowledge of server platform design, microprocessor design, and SoC firmware
  • Direct experience running GPU datacenter server programs
  • Recent experience in key data center technologies such as, server architectures, software containers, job schedulers and parallel computing
  • Deployment and operation of systems at large scale
  • resilient system design
  • clustering compute resources along with networking infrastructure

What the JD emphasized

  • proven track record in technology
  • proven ability to fully contribute in one or more of the areas above within 3 months