Senior Applied AI Engineer

NVIDIA

Senior Applied AI Engineer at NVIDIA designing and developing infrastructure for AI applications. Collaborating on innovative solutions and scaling AI technology within chip design.

Posted 7/17/2026full-timeSanta Clara • California, North Carolina, Oregon, Texas, Washington • 🇺🇸 United StatesSenior💰 $152,000 - $241,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing scalable AI infrastructure, with a strong focus on Python engineering and production-grade software systems. Proven ability to collaborate across teams and drive improvements in architecture, performance, and reliability of AI applications.

Highest-signal resume keywords

Python EngineeringAI/LLM-Powered ApplicationsProduction-Grade Software SystemsEnd-to-End Ownership of Engineering SolutionsCollaboration Across Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI Infrastructure DesignAPI DevelopmentAutomation WorkflowsPrototypingProductionizationLLM-Powered AgentsIntegration DevelopmentScalable InfrastructureSoftware Engineering Fundamentals

Soft Skills

Excellent CommunicationCollaborative ApproachProactive Problem Solving

Certifications & Qualifications

MS or Higher Degree in Computer ScienceEngineeringAI

Industry Keywords

AI ApplicationsProduction EnvironmentsAutomationAgentic WorkflowsPerformance ImprovementReliability

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design, develop, and improve scalable infrastructure to support the next generation of AI applications
Drive improvements in architecture, performance, and reliability
Collaborate across hardware, software, and research teams
Stay informed of the latest advancements in AI infrastructure

Requirements

What you’ll need

MS or higher degree (or equivalent experience) in Computer Science, Engineering, AI, or a related technical field
5+ years of hands-on software engineering experience building production-grade software systems
Demonstrated experience shipping AI/LLM-powered applications, agents, or automation workflows into real production environments
Strong Python engineering skills
Ability to design, prototype, and productionize AI-enabled services, APIs, integrations, automation workflows, and internal tools
Practical experience building LLM-powered agents or agentic workflows
Solid software engineering fundamentals and production mindset
Ability to identify repetitive, high-friction, or knowledge-intensive workflows and turn them into practical AI-enabled tools
Demonstrated end-to-end ownership of engineering solutions
Excellent communication skills and a collaborative, proactive approach.

Benefits

Comp & perks

Equity
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