Join our Developer Relations team as a Senior Developer Advocate to drive hands-on technical engagement with CSP AI engineering teams, accelerating adoption of NVIDIA software and platforms across the AI stack. You will build strong relationships with key developer leads, deliver guidance on SDKs/libraries, and develop reference implementations to expedite time-to-production. Your responsibilities include leading performance investigations, executing a robust developer engagement plan, and creating high-quality technical content that showcases NVIDIA solutions in relevant scenarios. Success in this role requires a BS/MS in Computer Science or equivalent experience, with at least 12 years of professional experience in software engineering, developer relations, and AI software stacks. Strong skills in Python/C++/CUDA, distributed systems, ML inference/serving, and cloud platforms are essential, along with proven ability to influence cross-functional teams and work effectively with hyperscalers or first-party platform teams.
Skills
Python
C++
CUDA
Distributed Systems
ML Inference/Serving
GPU Acceleration
Profiling Tools
Cloud Platforms
Developer Relations
CI/CD
NVIDIA SDKs
Model Serving
Terraform
AWS
Kubernetes
Prometheus
Grafana
Git
Jupyter Notebooks
What you'll do
Serve as primary technical interface for CSP AI engineering teams to drive NVIDIA software adoption.
Develop reference implementations and sample code to accelerate time-to-production for AI projects.
Lead performance investigations with AI engineers, resolving issues by partnering with NVIDIA engineering.
Build and execute a developer engagement plan, reporting progress and feedback to internal stakeholders.
Create high-quality technical demos and content to showcase NVIDIA solutions in relevant scenarios.
Capture structured developer feedback to influence internal roadmap decisions across various teams.
What we're looking for
Minimum 12+ years professional experience in technology industry with hyperscalers.
At least 5+ years hands-on AI software stacks and services experience.
Strong background in Python/C++/CUDA, distributed systems, ML inference/serving, performance engineering, cloud platforms.
Proven track record of technical enablement, troubleshooting, and shipping production-grade artifacts for developers.
Excellent communication skills to translate complex technical concepts into clear guidance.
Experience with GPU acceleration stacks, ML serving toolchains, profiling, and optimization workflows.
Demonstrated ability to influence cross-functional partners and drive outcomes across engineering/product/field organizations.
Market check
Salary context
This
$224,000–$356,500
range sits above
96%
of similar postings on FindRole.
Peer median band
$127,332–$213,480
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,400–$206,400
Middle half of comparable postings.
Based on 239 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.