Senior Applied AI Engineer

Job Title

Senior Applied AI Engineer

Role Summary

Design and deliver production AI solutions that consolidate engineering and infrastructure data for NVIDIA's ASIC networking product engineering. The role owns end-to-end delivery of AI agents, copilots, analytics, and automation to improve engineering productivity and operational workflows.

Experience Level

Senior — requires 8+ years of experience building production AI or data solutions.

Responsibilities

Own design, implementation, deployment, and maintenance of AI-driven analytics and automation for production engineering teams.

• Design, build, and maintain AI solutions for production, characterization, analysis, and operations workflows.
• Develop agentic analytics and copilots enabling engineers to query, analyze, and reason over ASIC data.
• Consolidate data from multiple infrastructure and engineering systems into scalable pipelines and reusable services.
• Partner with production engineering teams to identify pain points and deliver measurable impact.
• Build tools for data access, automation, reporting, anomaly detection, and insight generation.
• Collaborate across teams to align interfaces, improve data quality, and support scalable deployments.
• Drive continuous improvement via user feedback, monitoring, and roadmap planning.

Requirements

Core technical skills and experience required to perform the role.

• 8+ years as an AI solutions engineer, machine learning engineer, or software engineer building production AI/data solutions.
• Proven experience designing, developing, deploying, and maintaining end-to-end AI applications in production.
• Expertise in Python and modern software engineering practices.
• Practical experience with LLMs, AI agents, retrieval-augmented generation (RAG), and workflow orchestration.
• Experience building data pipelines, APIs, services, and applications for structured and semi-structured engineering data.
• Strong communication skills and an ownership-driven mindset.

Nice-to-have:

• Experience in semiconductor, hardware, product engineering, test, characterization, or manufacturing analytics environments.
• Familiarity with agent frameworks, vector databases, telemetry platforms, or internal knowledge/data systems.
• Cross-functional experience spanning software, data, infrastructure, and product engineering.

Education Requirements

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent practical experience.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.