Embedded AI Deployment Engineer

1010 Analog Devices Inc.; Wilmington (MA); On-site; USD 122,000 - 167,000; Full time

Benefits offered by this job

Discretionary bonus

Medical coverage

401k

Paid vacation

Holidays

Sick time

Job summary

Analog Devices, Inc. in Wilmington, MA, is seeking an Embedded AI Tools Engineer to design and deploy AI model tooling for heterogeneous architectures (DSPs, NPUs, CPUs) within ADI's SoC ecosystem.

You will build end‑to‑end workflows from model concept to production on resource‑constrained devices, develop hardware‑aware design techniques, and implement quantization/pruning pipelines for embedded hardware. This role sits in ADI's Advanced AI tooling team and offers a path to impacting next‑gen

Qualifications

• Strong embedded systems and computer architecture experience (bare‑metal, RTOS, or embedded Linux).
• Expertise in end‑to‑end AI/ML model development, from training through optimization and deployment on embedded platforms.
• Proficiency in C, C++, Python, with experience in firmware and low‑level software development.

Responsibilities

• Design, test, implement, and release novel AI model deployment tools and infrastructure for heterogeneous computer architectures such as DSPs, NPUs, and CPUs as part of a larger SoC.
• Build end‑to‑end workflows spanning model development, optimization, hardware‑specific architecture, and deployment to ADI's embedded platforms—enabling developers to seamlessly move from model conception to production on resource‑constrained devices.
• Develop tools and infrastructure for hardware‑aware model design, including architecture mapping techniques that adapt neural network structures to leverage specific hardware capabilities (DSP operations, NPU features, mixed‑precision computation).
• Design and implement model compilation and optimization pipelines that enable seamless quantization, pruning, layer fusion, and hardware‑specific code generation for ADI's embedded hardware platforms.

Job description

Analog Devices, Inc. in Wilmington, MA, is seeking an Embedded AI Tools Engineer to design and deploy AI model tooling for heterogeneous architectures (DSPs, NPUs, CPUs) within ADI's SoC ecosystem.

You will build end‑to‑end workflows from model concept to production on resource‑constrained devices, develop hardware‑aware design techniques, and implement quantization/pruning pipelines for embedded hardware. This role sits in ADI's Advanced AI tooling team and offers a path to impacting next‑gen