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NVIDIA
NVIDIA

Pioneering accelerated computing and AI

Solutions Architect, Inference Deployments

직무솔루션 아키텍트
경력미들급
위치Santa Clara, United States
근무오피스 출근
고용정규직
게시2개월 전
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필수 스킬

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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NVIDIA 소개

NVIDIA

NVIDIA

Public

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

10,001+

직원 수

Santa Clara

본사 위치

$4.57T

기업 가치

리뷰

10개 리뷰

4.4

10개 리뷰

워라밸

2.8

보상

4.5

문화

4.2

커리어

4.3

경영진

3.8

78%

지인 추천률

장점

Cutting-edge technology and innovation

Excellent compensation and benefits

Great team culture and collaboration

단점

High pressure and expectations

Poor work-life balance and long hours

Fast-paced environment leading to burnout

연봉 정보

79개 데이터

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

7개 리포트

$170,275

총 연봉

기본급

$130,981

주식

-

보너스

-

$155,480

$234,166

면접 후기

후기 5개

난이도

3.0

/ 5

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience