AI Algorithm Engineer – Edge & Emerging Hardware

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, 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 at www.analog.com and on LinkedIn and Twitter (X).

          

AI Algorithm Engineer – Edge & Emerging Hardware (P5)  

Level: P5 (Prinicipal Engineer) 
Location: Boston, MA 
Team: Frontier AI Initiative 

Role summary: Design and optimize ultra-low power (ULP), sub-millisecond latency (ULL) AI models for non-traditional compute platforms (e.g., analog, in-memory, neuromorphic) in support of ADI's Frontier AI initiatives. This role bridges the model and the sensor signal chain, ensuring AI algorithms are purpose-built for novel compute at the edge. 

Key responsibilities 

• Architect and deploy analog-aware neural networks, optimized for novel AI computational scheme leveraging, among others, charge-domain, quantized, and spiking architectures. 

• Port and adapt state-of-the-art ML models to selected startup platforms in the analog/in-memory-compute/neuromorphic arena 

• Collaborate with hardware engineers to co-design for ULP, ULL, and EA (Edge Adaptation) constraints. 

• Optimize full-stack sensor-to-AI pipelines, integrating preprocessing and embedded model flows. 

• Explore and implement continual learning algorithms for adaptive µAI on edge devices. 

Ideal profile 

• Strong experience with embedded ML, TinyML, and quantization-aware training. 

• Background in analog, event-driven, in-memory-compute model a plus. 

• Familiarity with PyTorch, ONNX, TensorFlow Lite, and hardware-adaptive toolchains 

• Exposure to neuromorphic models (SNNs, STDP learning) a plus. 

• Passion for building AI that lives inside constrained sensor environments. 

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.

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Job Req Type: Experienced

          

Required Travel: Yes, 10% of the time

          

Shift Type: 1st Shift/Days