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职位NVIDIA

Solutions Architect, Inference Deployments

NVIDIA

Solutions Architect, Inference Deployments

NVIDIA

US, CA, Santa Clara

·

On-site

·

Full-time

·

2mo ago

必备技能

Kubernetes

We’re forming a team of innovators to roll out and enhance AI inference solutions at scale, demonstrating NVIDIA’s GPU technology and Kubernetes. As a Solutions Architect focused on inference, you’ll collaborate closely with our engineering, DevOps, and customers to develop enterprise AI solutions. Together, we'll deliver generative AI to production!

What you'll be doing:

  • Build inference pipelines with tools like NVIDIA Dynamo, distributing tasks among GPU workers to improve efficiency.

  • Collaborate with DevOps teams to orchestrate disaggregated inference using Kubernetes for complex workloads.

  • Accelerate inference pipelines using TensorRT-LLM, vLLM, SGLang, and other backends to ensure seamless integration with disaggregated inference.

  • Provide mentorship and technical leadership to customers and internal teams, guiding them through the deployment of disaggregated inference systems and resolving complex issues.

What we need to see:

  • 5+ Years in Solutions Architecture with a proven track record of deploying distributed systems and AI inference workloads on Kubernetes.

  • Experience with one of NVIDIA Dynamo, Triton Inference Server, or TensorRT-LLM for model optimization and serving.

  • GPU orchestration using NVIDIA GPU Operator, NIM Operator, and Multi-Instance GPU (MIG) partitioning.

  • Solving sophisticated GPU allocation, memory hierarchies (HBM, DRAM, SSD), and low-latency networking (RDMA, UCX).

  • Demonstrated success in tuning large language models for low-latency inference in enterprise environments.

  • BS in CS/Engineering or equivalent experience.

Ways to stand out from the crowd:

  • Prior experience deploying NVIDIA inference technologies such as Dynamo, NIM, NIXL and Grove.

  • Deep understanding of transformer neural network, and inference acceleration technologies like quantization, speculative decoding, WideEP etc.

  • NVIDIA Certified AI Engineer or similar credentials.

  • Contributions to open-source projects including NVIDIA Dynamo, vLLM, KServe, or SGLang.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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关于NVIDIA

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

员工数

Santa Clara

总部位置

$4.57T

企业估值

评价

4.4

10条评价

工作生活平衡

2.8

薪酬

4.5

企业文化

4.2

职业发展

4.3

管理层

3.8

78%

推荐给朋友

优点

Cutting-edge technology and innovation

Excellent compensation and benefits

Great team culture and collaboration

缺点

High pressure and expectations

Poor work-life balance and long hours

Fast-paced environment leading to burnout

薪资范围

79个数据点

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

7份报告

$170,275

年薪总额

基本工资

$130,981

股票

-

奖金

-

$155,480

$234,166

面试经验

5次面试

难度

3.0

/ 5

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience