Skip to content
Senior Product Manager – Accelerated Computing HW and SW Fundamentals
| Company | NVIDIA |
|---|
| Location | Santa Clara, CA, USA |
|---|
| Salary | $168000 – $327750 |
|---|
| Type | Full-Time |
|---|
| Degrees | Bachelor’s, Master’s |
|---|
| Experience Level | Expert or higher |
|---|
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.
