Field AI Engineer — Edge & Data Pipelines

Analog Devices, Inc.; San Jose (CA); Híbrido; USD 230 000 - 316 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical vision dental

401k

Paid vacation

Holidays

Sick time

Discretionary bonus

Resumo da oferta

Analog Devices, Inc. in the United States seeks a Forward Deployed Engineer to blend software engineering with field consulting, embedding within strategic customers to implement and scale ADI's AI and edge technology.

You will write production-grade data pipelines and APIs, work across CSG, VBU, SDP, and Edge AI teams, and own the architecture to solve complex customer problems. Travel up to 10% is expected as you deliver measurable outcomes and create reusable assets that extend ADI's reach

Qualificações

• BS/MS in CS, EE, or related; 10+ years building production software
• Strong Python plus experience with data pipelines, APIs, and MLOps/AI workflows
• Comfort deploying and debugging on-site in complex enterprise environments
• Excellent communication; able to translate customer needs into architecture
• Willingness to travel and embed with strategic clients

Responsabilidades

• Write production-grade code: custom data pipelines, API integrations, and MLOps/AI workflows
• Embed on-site with clients, partnering across CSG, VBU, SDP, and Edge AI teams
• Frame customer problems and own the architecture that solves them
• Drive rapid iteration and field learning to deliver measurable customer outcomes
• Produce reusable, ADI-owned assets that create defensible wedges

Conhecimentos

Python

Data pipelines

APIs

MLOps/AI workflows

On-site deployment

Communication

Travel readiness

Formação académica

BS/MS in CS or EE

Descrição da oferta de emprego

Analog Devices, Inc. in the United States seeks a Forward Deployed Engineer to blend software engineering with field consulting, embedding within strategic customers to implement and scale ADI's AI and edge technology.

You will write production-grade data pipelines and APIs, work across CSG, VBU, SDP, and Edge AI teams, and own the architecture to solve complex customer problems. Travel up to 10% is expected as you deliver measurable outcomes and create reusable assets that extend ADI's reach