Senior Solutions Architect, Generative AI

Nvidia

Remote

Quick summary

Work type
Remote
Location
Canada
Salary
$184,000–$287,500 / yr
Posted
44 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k
This role $236k
$156k most similar roles pay here $302k

This role pays more than 71% of similar roles. Most pay $170,000–$246,150 — the shaded band above. At the midpoint, this role pays about $236k versus about $208k 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 984 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 970 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Solutions Architect, Generative AI

NVIDIA seeks an experienced AI Solutions Architect for a customer-facing role, requiring hands-on expertise in efficient AI model training and deployment. This senior-level position involves collaborating with customers to enhance workload performance and reduce costs, leading technical engagements, developing proof-of-concepts for AI solutions in the Consumer Internet industry, and creating necessary documentation. The ideal candidate will develop and debug software using NVIDIA’s and open-source AI frameworks, partnering closely with internal teams to secure design wins based on customer feedback. Essential qualifications include a degree in Computer Science or related field, 8+ years of experience coding in Python and C++ with GPUs, proficiency in profiling and optimizing model performance, and strong communication skills for conveying technical ideas effectively. Additional desirable skills encompass full-stack knowledge from deep learning frameworks to CUDA/CUTLASS/cuDNN/NCCL, familiarity with MLOps technologies like Kubernetes, and creative problem-solving abilities.

What you'll do

  • Collaborate with customers to enhance workload performance and reduce costs.
  • Lead proof-of-concept development for AI solutions in the Consumer Internet industry.
  • Develop and debug software for NVIDIA’s AI frameworks and libraries.
  • Secure design wins by partnering with internal teams based on customer feedback.
  • Profile and optimize model training/inference performance on GPUs.

What we're looking for

  • 8+ years of experience as an AI/Software Engineer with proven track record in Python/C++.
  • Experience profiling and optimizing model training/inference performance on GPUs.
  • Strong background in developing and optimizing GPU kernels for deep learning.
  • Full stack experience from DL frameworks to lower-level CUDA/CUTLASS/cuDNN/NCCL.
  • Familiarity with MLOps technologies including containers, Kubernetes, and data center deployments.
  • Excellent communication skills for conveying ideas through GitHub, documentation, and presentations.

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