Distinguished Engineer, Scaled Out Inferencing

Nvidia

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$320,000–$488,750 / yr
Employment
Full-time
Posted
77 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $231k
This role $404k
$131k $527k
below market most similar roles pay here above market

This role pays more than 99% of similar roles. Most pay $194,500–$267,562 — the blue band above. At the midpoint, this role pays about $404k versus about $231k 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.

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At a glance

TL;DR · Distinguished Engineer, Scaled Out Inferencing

The Distinguished Engineer, Scaled Out Inferencing joins the team to lead the global strategy for scaled-out AI inferencing. This role involves architecting high-throughput, low-latency distributed pipelines and model serving strategies for massive-scale production reliability. You will define the technical roadmap for full-lifecycle model management, including automated deployment, versioning, and intelligent scaling across cloud and datacenter environments. Key responsibilities include hardware-software co-optimization, performance tuning at the kernel and driver level, and optimizing GPU resource management. You will utilize technologies such as CUDA, kernels, and cloud-native architectures for multi-tenant model serving. Additionally, you will guide open source projects including Dynamo, TensorRT-LLM, vLLM, SGLang, Linux, Kubernetes, and Ray to enable advanced AI models to run with peak efficiency on accelerated computing hardware.

What does a Engineer earn in California?

Median $199500 from 103 postings across 31 companies.

See salary data

What you'll do

  • Architect high-throughput, low-latency distributed pipelines for massive-scale AI inference workloads.
  • Define the technical roadmap for full-lifecycle model management, including deployment, versioning, and automated scaling.
  • Establish systems and orchestration layers to run advanced AI models efficiently on accelerated hardware.
  • Perform hardware-software co-optimization and performance tuning at the kernel and driver levels.
  • Guide and influence open-source projects like TensorRT-LLM, vLLM, and SGLang to support NVIDIA hardware.
  • Lead the design, development, and operations of large-scale production distributed systems across cloud and datacenter environments.
  • Synthesize cross-functional needs into technical architectures and guide internal execution across diverse engineering teams.

What we're looking for

  • Experience in technical roles with a focus on AI infrastructure and large-scale inference orchestration.
  • 7-10+ years of leadership experience.
  • BS/MS or higher or equivalent experience in systems/software engineering or related engineering fields.
  • Proficiency in GPU architecture, hardware acceleration, and low-level performance tuning including CUDA and kernels.
  • Proficiency in cloud-native architectures for multi-tenant model serving.
  • Proven track record building secure, highly available, and durable production distributed systems.
  • Experience building systems to support AI/ML workloads (preferred).
  • Familiarity with open source ecosystems and projects such as Dynamo, TensorRT-LLM, vLLM, SGLang, and Ray (preferred).

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