Solutions Architect, Inference Deployments

What you'll do

• Co-design inference architectures and deployment plans with customers, product, and engineering teams.
• Deploy, profile, and optimize models and synthetic-data workflows; guide production monitoring, capacity planning, testing, and troubleshooting.
• Enable customer adoption through demos, deployment recipes, onboarding materials, and operating guides.

What they ask for

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 5+ years of professional experience in a listed technical or product role, including 3+ years of direct hands-on AI inference or ML systems experience.
• Deep AI/ML and GPU inference expertise, with a track record of product integrations and production systems across edge or cloud.
• Hands-on experience building AI agents and working with Linux systems, containers, and at least one inference runtime or ML framework.

Nice to have

• Hands-on experience with NVIDIA Jetson, TensorRT Edge-LLM, Nemotron Speech, NVIDIA Riva, ROS 2, or NVIDIA Isaac in voice or robotics deployments.
• Experience with synthetic data tools or containerized inference technologies listed in the posting.

Pay

152,000 USD - 241,500 USD base salary (Level 3); 184,000 USD - 287,500 USD base salary (Level 4)

Tools

Linux, NVIDIA Jetson, TensorRT Edge-LLM, Nemotron Speech, NVIDIA Riva, ROS 2, NVIDIA Isaac, Triton Inference Server

AI focus

Deploying and optimizing AI inference for speech, action, robotics, and automation; building AI agents; improving synthetic-data workflows; and guiding production inference deployments.