Technical Lead – AI Embedded Toolchains

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, 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 $12 billion in FY23 and approximately 26,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible. Learn more at www.analog.com and on LinkedIn.

          

Job Title: Technical Lead – AI Embedded Toolchains

Location: Cork-Ireland, Limerick-Ireland, Edinburgh – UK

About Analog Devices

Analog Devices (ADI) is a global leader in high-performance analog, mixed-signal, and digital signal processing (DSP) technologies. Our AI/ML initiatives focus on delivering cutting-edge solutions that empower embedded developers to seamlessly integrate AI into their applications.

About the Role

We are seeking a Technical Lead – AI Embedded Toolchains to spearhead the development of a superior toolchain for compiling, optimizing, and deploying AI models to ADI’s embedded hardware platforms, including those powered by state-of-the-art DSPs and NPUs. This role will build upon existing AI toolchains such as Cadence NeuroWeave SDK, Arm Vela, and others to create a best-in-class experience for embedded developers.

The ideal candidate will have a strong background in embedded development, compiler toolchains, and cross-compilation. Familiarity with AI toolchains for embedded systems—such as model conversion workflows, inference engines, or optimization techniques—is highly desirable but not mandatory.

Key Responsibilities

• Lead the development of an AI toolchain for ADI’s embedded hardware, enabling seamless model compilation, optimization, and deployment.
• Encapsulate and extend existing toolchains like Cadence NeuroWeave SDK and Arm Vela to create a unified and enhanced developer experience.
• Optimize AI inference for ADI’s DSPs and NPUs, improving performance, memory efficiency, and power consumption.
• Collaborate with internal teams, including hardware architects, compiler engineers, and AI researchers, to refine toolchain capabilities.
• Develop cross-compilation workflows that support various AI frameworks (TensorFlow, PyTorch, ONNX) and target embedded platforms.
• Integrate and enhance inference engines such as TensorFlow Lite Micro (TFLM), ONNX Runtime, or proprietary engines into the toolchain.
• Improve debugging, profiling, and visualization tools to support embedded AI developers.
• Stay up to date with industry trends in AI compilers, model optimization techniques, and embedded AI deployment.

Required Qualifications

• Strong experience (7+ years) with embedded development and toolchains, including cross-compilers, linker scripts, and low-level optimizations.
• Proficiency in C/C++ and Python for toolchain development.
• Experience with compiler toolchains such as LLVM, GCC, or proprietary backends for embedded targets.
• Knowledge of DSPs and NPUs, including vectorization techniques and hardware acceleration for AI workloads.
• Familiarity with AI toolchains for embedded systems (e.g., model conversion, quantization, runtime optimization).
• Understanding of AI frameworks (TensorFlow, PyTorch, ONNX) and their deployment workflows.
• Strong debugging and performance tuning skills for embedded workloads.

Preferred Qualifications

• Experience working with Cadence NeuroWeave SDK, Arm Vela, or similar AI toolchains.
• Familiarity with inference engines such as TensorFlow Lite Micro (TFLM), ONNX Runtime, or similar.
• Knowledge of model optimization techniques such as quantization, sparsity, and graph optimizations.
• Contributions to open-source AI compilers (TVM, Glow, MLIR) or inference runtimes.
• Experience with RTOS and real-time AI constraints for embedded applications.
• Experience integrating AI models into automotive, industrial, or IoT applications.

Why Join Us?

• Work on cutting-edge AI acceleration for embedded systems.
• Collaborate with top-tier hardware and AI engineers in a fast-growing AI division.
• Drive real-world AI deployments on power-efficient, high-performance ADI platforms.
• Competitive compensation, benefits, and opportunities for career growth.

If you’re passionate about pushing the boundaries of embedded toolchains and enabling AI on ADI’s advanced hardware, we’d love to hear from you!

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For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export  licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls.  As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

Job Req Type: Experienced

          

Required Travel: Yes, 10% of the time

          

Shift Type: 1st Shift/Days