AI/HPC CPU Performance Architect (Lead) – Equity Eligible

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 224,000 - 431,000

Full time

6 days ago
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Job summary

NVIDIA Corporation is seeking a senior architect to advance CPU performance across AI, HPC, cloud, gaming, and autonomous vehicle workloads. The role focuses on workload bring-up, performance analysis, and system-level bottlenecks both in silicon and full-system simulators.

You will study real-world use-cases, collaborate with CPU and interconnect teams, and benchmark NVIDIA’s CPU offerings against the competition, guiding hardware and software improvements. Equity and benefits apply.

Qualifications

  • BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.
  • 12+ years of relevant experience.
  • Experience with CPU workloads and performance analysis.
  • Knowledge of performance test development and benchmarking for CPU and I/O.
  • Deep knowledge of CPU microarchitecture and system architecture.
  • Experience with the ARM instruction set architecture (ISA) preferable but not required.

Responsibilities

  • Work on workload bring-up and performance analysis/projection on silicon and full-system simulator.
  • Study workloads for AI/DL, CSP, HPC, and autonomous vehicles.
  • Study real world use-cases and identify critical application behavior and reduce to directed test cases.
  • Analyze and debug performance scaling bottlenecks on multi-core and multi-socket CPU and CPU/GPU systems.
  • Work with CPU and interconnect architects to improve future CPU and system designs based on findings.
  • Benchmark NVIDIA’s CPU offerings against competition and suggest software or hardware improvements.

Skills

CPU workloads
Performance analysis
Benchmarking
CPU microarchitecture
System architecture
ARM ISA

Education

BS/MS in Electrical Engineering, Computer Science, or Computer Engineering

Job description

NVIDIA Corporation is seeking a senior architect to advance CPU performance across AI, HPC, cloud, gaming, and autonomous vehicle workloads. The role focuses on workload bring-up, performance analysis, and system-level bottlenecks both in silicon and full-system simulators.

You will study real-world use-cases, collaborate with CPU and interconnect teams, and benchmark NVIDIA’s CPU offerings against the competition, guiding hardware and software improvements. Equity and benefits apply.

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