Distinguished Engineer, End-to-End Scaling Performance Architecture

NVIDIA
United States
Workplace: OnsiteFull timeUSD 320,000 - 488,750 annuallyFunction: Architecture & Urban PlanningExperience: 18+ yearsEducation: phdSkills: ["Leadership","Communication","Sound judgment","Mentoring","Technical community building"]

Define long-term end-to-end performance architecture for accelerated computing systems, guiding how applications scale from single-processor to multi-die, multi-GPU, and multi-node platforms. Translate AI/HPC workload behavior into architectural requirements and measurable targets across DRAM, NVLink, and chip-to-chip interconnects. Evaluate system-level trade-offs, align domain teams on shared scaling strategy, recommend opportunities to shape product and technology decisions, and mentor performance architects.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
1 month ago

Distinguished Engineer, End-to-End Scaling Performance Architecture

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Define long-term end-to-end performance architecture for accelerated computing systems, guiding how applications scale from single-processor to multi-die, multi-GPU, and multi-node platforms. Translate AI/HPC workload behavior into architectural requirements and measurable targets across DRAM, NVLink, and chip-to-chip interconnects. Evaluate system-level trade-offs, align domain teams on shared scaling strategy, recommend opportunities to shape product and technology decisions, and mentor performance architects.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Architecture & Urban Planning
Seniority: Mid level

Key Responsibilities

  • •Define multi-generation end-to-end application scaling strategy 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 view of how bottlenecks shift 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.
  • •Align architecture teams around shared performance limits and high-value opportunities; provide recommendations to senior leaders and mentor system performance architects.

Pay and Benefits

Salary: USD 320,000 - 488,750 annually
Equity and Bonus:Equity

Key Requirements

  • •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 interactions among DRAM behavior, high-bandwidth fabrics such as NVLink, and C2C communication.
  • •Strong application-level intuition connecting workload algorithms, parallelism, communication, locality, and data movement to architecture choices and measurable outcomes.
  • •Track record of identifying cross-domain opportunities and advancing multi-generation technical strategy across silicon, systems, software, and application teams.
Experience:18+ years
Education:PhD / Doctorate in Electrical Engineering, Computer Engineering, Computer Science
Skills:LeadershipCommunicationSound judgmentMentoringTechnical community building
Tech Stack:DRAMNVLinkChip-to-chip (C2C)GPUCPUAIHPC

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
WebsiteLinkedInGlassdoor