Embedded AI/ML Engineer – CodeFusion Studio AI Toolchain Developer

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Embedded AI/ML Engineer – CodeFusion Studio AI Toolchain Developer, Cork

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Client:Location:

Cork, Ireland

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

d513590f0df2

Job Views:

8

Posted:

12.08.2025

Expiry Date:

26.09.2025

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Job Description:

About Analog Devices

Analog Devices, Inc. (NASDAQ:) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible. Learn more atand onand.

Title: Embedded AI/ML Engineer – CodeFusion Studio AI Toolchain Developer

Analog Devices is uniquely positioned for success at the boundary of the physical and digital worlds. Analog Devices transforms physical phenomena – sound, light, radio waves, voltages, currents, and motion – into high fidelity data. Our mission is to build the Intelligent Edge where AI transforms the way we solve challenging problems by combining deep application knowledge, close customer relationships, extraordinary data, advanced circuits, and breakthrough algorithms.

Build Embedded Algorithm Software for the Intelligent Edge.

You will join the core technology team within the Software & Digital Platforms Business Unit, playing a key role in advancing Code Fusion Studio—Analog Devices' integrated development environment on embedded platforms. Your work will directly support the development of cutting-edge tools and workflows that empower engineers to design, deploy, and optimize AI applications on ADI's embedded hardware.

In your first year, you will contribute to several critical milestones:

• Collaborate with machine learning researchers to integrate novel ML algorithms and data processing pipelines into Code Fusion Studio, enabling seamless edge AI development.
• Design and implement robust software tools, plug-ins, and compilers within the IDE to streamline AI model deployment and performance optimization across ADI's embedded platforms.
• Play a central role in shaping the strategy and architecture for quality assurance, developer experience, and long-term maintainability of embedded AI toolchains across the company.

Desired Skills and Experience:

• Experience developing software tools and frameworks for embedded AI workflows
• Background in machine learning algorithms (CNN, DNN) and experience deploying them on embedded systems
• Familiarity with model optimization techniques (quantization, pruning, compilation) and deployment pipelines for embedded AI
• Familiarity with neural network accelerators and strategies for efficient neural network execution on such hardware
• Strong background in embedded software and computer architecture
• Excellent problem-solving and troubleshooting skills
• Proficient in C/C++ programming

Bonus Points for:

• Experience with Zephyr, FreeRTOS or other embedded operating systems.
• Familiarity with the Xtensa architecture and toolchains (e.g., Xplorer, XCC, XNNC)
• Solid understanding of ARM Cortex-M architecture (ARMv6/7/8-M) and associated toolchains (e.g., GCC, Clang)

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Job Req Type: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/Days

About Analog Devices

Analog Devices, Inc. (NASDAQ:) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible. Learn more atand onand.

Title: Embedded AI/ML Engineer – CodeFusion Studio AI Toolchain Developer

Location: Limerick, Ireland; Cork, Ireland

Analog Devices is uniquely positioned for success at the boundary of the physical and digital worlds. Analog Devices transforms physical phenomena – sound, light, radio waves, voltages, currents, and motion – into high fidelity data. Our mission is to build the Intelligent Edge where AI transforms the way we solve challenging problems by combining deep application knowledge, close customer relationships, extraordinary data, advanced circuits, and breakthrough algorithms.

Build Embedded Algorithm Software for the Intelligent Edge.

You will join the core technology team within the Software & Digital Platforms Business Unit, playing a key role in advancing Code Fusion Studio—Analog Devices' integrated development environment on embedded platforms. Your work will directly support the development of cutting-edge tools and workflows that empower engineers to design, deploy, and optimize AI applications on ADI's embedded hardware.

In your first year, you will contribute to several critical milestones:

Collaborate with machine learning researchers to integrate novel ML algorithms and data processing pipelines into Code Fusion Studio, enabling seamless edge AI development.Design and implement robust software tools, plug-ins, and compilers within the IDE to streamline AI model deployment and performance optimization across ADI's embedded platforms.Play a central role in shaping the strategy and architecture for quality assurance, developer experience, and long-term maintainability of embedded AI toolchains across the company.

Desired Skills and Experience:

Experience developing software tools and frameworks for embedded AI workflowsBackground in machine learning algorithms (CNN, DNN) and experience deploying them on embedded systemsFamiliarity with model optimization techniques (quantization, pruning, compilation) and deployment pipelines for embedded AIFamiliarity with neural network accelerators and strategies for efficient neural network execution on such hardwareStrong background in embedded software and computer architectureExcellent problem-solving and troubleshooting skillsProficient in C/C++ programmingPython is essential; JavaScript experience is a plus

Bonus Points for:

Experience developing extensions or plugins for Visual Studio Code (e.g., using TypeScript/JavaScript, VS Code API)Experience with Zephyr, FreeRTOS or other embedded operating systems.Familiarity with the Xtensa architecture and toolchains (e.g., Xplorer, XCC, XNNC)Solid understanding of ARM Cortex-M architecture (ARMv6/7/8-M) and associated toolchains (e.g., GCC, Clang)

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Job Req Type: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/Days#J-18808-Ljbffr

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