Distinguished Engineer, End-to-End Scaling Performance Architecture
NVIDIA· Distinguished Engineer
Santa Clara, CA, Austin, TX, Redmond, WA$320k - $488.8kfull-timePosted 2mo ago
About the role
Architectural leader focused on end-to-end scaling of accelerated computing systems—from single processor to multi-die, multi-GPU, and multi-node platforms. Defines long-term performance strategy across applications, systems, and architecture (DRAM, NVLink, C2C interconnects) and translates workload behavior into architectural requirements and investment priorities.
Responsibilities
- Define multi-generation strategy for application scaling across DRAM, NVLink, C2C, compute, and the supporting software stack.
- Translate behavior of important AI, HPC, and accelerated computing applications into architectural requirements, performance targets, and investment priorities.
- Build a clear view of bottleneck shifts as workloads scale across dies, GPUs, nodes, model sizes, data sets, and communication patterns.
- Evaluate system-level trade-offs across bandwidth, latency, capacity, topology, coherence, power, area, cost, programmability, and resiliency.
- Establish common workload scenarios, scaling metrics, models, and decision frameworks for architecture teams to compare proposals against application outcomes.
- Identify architectural discontinuities and emerging technology opportunities to shape product and technology decisions, aligning DRAM, NVLink, C2C, GPU, CPU, system, and software architects around shared performance limits and opportunities.
- Mentor system performance architects, strengthen technical communities, generate intellectual property, and influence the direction of large-scale accelerated computing.
Qualifications
- MSEE, MSCE, PhD, or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science, or related field.
- 18+ years of relevant industry or academic experience, including experience setting architecture direction for complex, high-performance systems.
- Deep understanding of system performance and scaling, including interactions among DRAM behavior, NVLink, and C2C communication.
Skills
Required:System performance analysis and bottleneck identificationCross-domain influence and multi-generation strategy
Benefits
- equity
- comprehensive benefits package (see company benefits page)
Last updated Jul 31, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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