NVIDIA · 4 months ago
Forward Deployed Engineer, AI Accelerator
US, CA, Santa Clara
Full-time
Hybrid
Senior Level, Lead/Staff
8+ years expNVIDIA is seeking a Forward Deployed Engineer to join their AI Accelerator team, working directly with strategic customers to implement and optimize pioneering AI workloads. The role involves providing hands-on technical support for advanced AI implementations and ensuring customers achieve optimal performance from NVIDIA's AI platform across diverse environments.
Artificial Intelligence (AI)Consumer ElectronicsGPUHardwareSoftwareVirtual Reality
Responsibilities
Design and deploy custom AI solutions including distributed training, inference optimization, and MLOps pipelines across customer environments
Provide remote technical support to strategic customers, optimize AI workloads, diagnose and resolve performance issues, and guide technical implementations through virtual collaboration
Deploy and manage AI workloads across DGX Cloud, customer data centers, and CSP environments using Kubernetes, Docker, and scheduling systems for GPU
Profile and optimize large-scale model training and inference workloads, implement monitoring solutions, and resolve scaling challenges
Build custom integrations with customer systems, develop APIs and data pipelines, and implement enterprise software connections
Create implementation guides, documentation for resolution approaches and standard methodologies for complex AI deployments
Qualification
Required
8+ years of experience in customer-facing technical roles (Solutions Engineering, DevOps, ML Infrastructure Engineering)
BS, MS, or Ph.D. in CS, CE, EE (related technical field) or equivalent experience
Strong proficiency with Linux systems, distributed computing, Kubernetes, and GPU scheduling
AI/ML experience supporting inference workloads and training at large-scale
Programming skills in Python, with experience in PyTorch, TensorFlow, or similar AI frameworks
Customer engagement ability to work effectively with technical teams under high-pressure situations
Preferred
NVIDIA ecosystem experience with DGX systems, CUDA, NeMo, Triton, or NIM
Cloud platforms hands-on experience with AWS, Azure, or GCP AI services
MLOps expertise with containerization, CI/CD pipelines, and observability tooling
Infrastructure as code experience with Terraform, Ansible, or similar automation tools
Enterprise software integration experience with Salesforce, ServiceNow, or similar platforms
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
2026-01-08
Company data provided by crunchbase