Distinguished Engineer, End-to-End Scaling Performance Architecture

What you'll do

• Translate AI, HPC, and accelerated-computing workload behavior into architectural requirements, performance targets, and investment priorities.
• Evaluate system-level trade-offs and align architecture teams around shared scaling metrics, models, and strategy.
• Advise senior leaders, mentor performance architects, and connect measured application behavior with future architecture choices.

What they ask for

• MSEE, MSCE, PhD, or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 18+ years of relevant industry or academic experience, including setting architecture direction for complex, high-performance systems.
• Deep understanding of system performance and scaling, including DRAM behavior, high-bandwidth fabrics such as NVLink, and C2C communication.
• Demonstrated ability to advance multi-generation technical strategy through influence across silicon, systems, software, and application teams.

Nice to have

• Experience with workload characterization, performance modeling, bottleneck analysis, and architecture trade-off evaluation.
• Examples of measurable end-to-end improvements in performance, efficiency, or scaling for priority applications.

Pay

320,000 USD - 488,750 USD (base salary)

Tools

DRAM, NVLink, C2C, GPU, CPU

AI focus

Architectural scaling for AI applications and workloads; NVIDIA also states that it uses AI tools in its recruiting processes.