Forward Deployed Engineer

Analog Devices; San Jose (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Analog Devices, Inc. is seeking a Forward Deployed Engineer (FDE) to embed within strategic customer environments and implement ADI's AI and edge technologies.

The role blends software development with customer-facing consultancy, requiring strong Python capabilities, data pipelines, APIs, and MLOps workflows, plus willingness to travel and work on-site with clients.

Qualifications

• BS/MS in CS, EE, or related field required.
• Strong Python and data pipelines, APIs, and MLOps/AI workflows experience.
• Excellent communication; able to translate customer needs into architecture.
• Willingness to travel and embed with strategic clients.
• Experience deploying and debugging on-site in complex enterprise environments.

Responsibilities

• Write production-grade code: data pipelines, API integrations, and MLOps/AI workflows.
• Embed on-site with clients, partnering across 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.

Skills

Python

Data pipelines

APIs

MLOps/AI workflows

Communication

On-site deployment

Education

BS/MS in CS, EE, or related

Job description

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X .

Forward Deployed Engineer (FDE)

Analog Devices | Customer-embedded, AI/SW-centric applications engineering

Role overview

A hybrid software engineer and technical consultant who embeds within a strategic customer to implement, customize, and scale ADI's AI and edge technology into their real-world infrastructure.

Key responsibilities

• 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

Required qualifications

• 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

Preferred

• Edge AI, LLM/agentic systems, or signal-processing background
• Prior forward-deployed, field, or solutions-engineering experience