below marketmost similar roles pay hereabove market
This role pays more than
99%
of similar roles. Most pay
$195,000–$270,500
— the blue band above.
At the midpoint, this role pays about
$404k
versus about
$233k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
JOB TITLE: Distinguished Engineer, End-to-End Scaling Performance Architecture
The Distinguished Engineer, End-to-End Scaling Performance Architecture joins the architecture organization to define how future accelerated computing systems scale from single processors to multi-die, multi-GPU, and multi-node platforms. This role involves setting long-term performance strategies across applications, systems, and architecture, specifically focusing on DRAM, NVLink, and chip-to-chip interconnects. You will identify bottlenecks in data movement, communication, memory behavior, and topology to guide multiple product generations. Key responsibilities include translating AI and HPC application behaviors into architectural requirements, evaluating trade-offs in bandwidth, latency, and power, and mentoring system performance architects. Required expertise includes MSEE, MSCE, or PhD degrees with over 18 years of experience in electrical or computer engineering, focusing on high-performance systems, workload characterization, and analytical or simulation-based performance modeling.
Establish common workload scenarios, scaling metrics, and decision frameworks for architecture teams.
Identify architectural discontinuities and emerging technology opportunities to shape long-term product decisions.
Align diverse architecture teams around shared performance limits and high-value technical opportunities.
Mentor system performance architects and generate sustained intellectual property for accelerated computing.
What we're looking 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.
Experience setting architecture direction for complex, high-performance systems.
Deep understanding of system performance and scaling, including DRAM behavior, NVLink, and C2C communication.
Ability to connect workload algorithms, parallelism, communication, locality, and data movement to architecture choices.
Experience with workload characterization, analytical or simulation-based performance modeling, bottleneck analysis, and architecture trade-off evaluation.
Demonstrated ability to create and advance a multi-generation technical strategy through influence across silicon, systems, software, and application teams.
Experience mentoring senior engineers into broader architecture leadership roles and building strong technical communities.
Remote (Santa Clara, CA)77 days ago
$320,000–$488,750
GPU Architecture
CUDA
TensorRT-LLM
vLLM
SGLang
Ray
Kubernetes
Linux
Distributed Systems
Model Serving
Hardware Acceleration
Cloud-Native Architecture
High-Performance Computing
Dynamo