Senior Product Manager – Accelerated Computing HW and SW Fundamentals

Senior Product Manager – Accelerated Computing HW and SW Fundamentals

Requirements

• Bachelor’s or Master’s degree in Computer Science or Computer Engineering (or equivalent experience).
• 10+ years of experience as a technical product or program manager in a multifaceted, fast-paced, high-tech environment.
• Proven understanding of the datacenter hardware and server ecosystem.
• Familiarity with Arm CPUs is a plus.
• Excellent project management and cross-functional leadership skills.
• Strong communication and teamwork skills.
• Ability to lead multiple projects and priorities in a fast-paced environment.

Responsibilities

• Drive alignment between teams responsible for architecting NVIDIA CPUs, as well as CUDA, GPU drivers, Linux Kernel and distros, BIOS, BMC and IBVs partners.
• Drive enablement plans, customer and partner adoption of key features like Confidential Compute, MPAM, advanced power management, and virtualization.
• Ensure components, documentation, and recipes are in place for the entire accelerated compute product portfolio.
• Partner with HGX and DGX product teams, CPMs, engineers, and customers to understand active issues and communicate stages of resolution.
• Guide component and system-level quality targets in partnership with platform and quality PMs.
• Drive the distribution and packaging of workarounds, patches and mitigations or experimental firmware as needed.
• Drive partnership and alignment with key 3rd parties responsible for memory modules, PCIe add-in cards, and more.

Preferred Qualifications

• Exceptional communication skills: ability to express sophisticated ideas succinctly and at audience appropriate altitude.
• Motivation: self-starting with the ability to drive frequent progress on multiple cross-team efforts.
• Ability to grapple with the unknown: role definitions and product needs are very fluid.
• Technical and architectural capability: familiarity with EE / CS, preferably with a computer architecture background and working knowledge of the Linux kernel and boot process.
• Curiosity and intellectual honesty: solving problems requires looking around corners, asking ‘why,’ and the clarity and flexibility to occasionally reflect on and accept a change of paths.
• Analytical thinking: able to build objective measurements of schedules, economic trade-offs, and competitive insights.
• Collaboration: working on incredible tech that sparks joy and taking pride in getting stuff done.