NVIDIA
AI
Manager,PCIeFirmware
“Manager, PCIe Firmware at NVIDIA. Skills: PCIe Firmware, Engineering Management, Physical Layer. Lead a focused team of physical layer firmware engineers. Own the team's delivery for PCIe link bring-up, equalization, recovery, and physical-layer-related customer escalations across multiple products”
What You'll Achieve.
delivery for PCIe link bring-up, equalization, recovery, and physical-layer-related customer escalations; turn point fixes into reusable improvements
Industry & Context.
guiding debug directly; drive issues to root cause; turn point fixes into reusable improvements; technical reference on physical layer scope; cleanly identifying when an issue is not physical layer
What They're Looking For.
Must Have
8+ overall years of engineering experience, 3+ years in engineering management or equivalent tech lead experience on a path into management, PCIe foundation: link training, equalization, recovery flows, and cross-generation behavior, A track record of personally driving hard link issues to root cause, working from state traces and eye diagrams alongside silicon and signal integrity engineers, Proven ability to grow engineers, run a delivery cadence, and make prioritization calls under constraint, An active operator: when execution is blocked, you step in, Clear communicator across engineers, partners, and customers
Nice to Have
Hands-on PCIe link bring-up on real silicon, signal integrity work, lane margining, or cross-generation interop, Direct experience with high-speed SerDes behavior, thermal-sensitive link issues, or customer-facing escalation work, Practical use of AI/ML tools in engineering — pattern matching across logs, summarizing state machine traces, building shared knowledge bases, Familiarity with networking products, Linux, and scripting in Python, Experience operating across HW/FW/SW boundaries
What You'll Do.
Lead a focused team of physical layer firmware engineers
Own the team's delivery for PCIe link bring-up
and physical-layer-related customer escalations across multiple products
Drive issues to root cause and turn point fixes into reusable improvements
Act as the technical reference on physical layer scope
Champion AI-native engineering inside the team and across the organization
Applying AI tools to triage
and knowledge capture
How You'll Work.
Team & Collaboration
Partner with Chip Design, Architecture, Software, Validation, and Customer Engineering; Clear communicator across engineers, partners, and customers
Communication Scope
Clear communicator across engineers, partners, and customers
Process & Methodology
run a delivery cadence, make prioritization calls under constraint
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