Overview
On Site
USD 125,250.00 - 187,875.00 per year
Full Time
Skills
Semiconductors
Health Care
LinkedIn
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Mergers and Acquisitions
Bridging
Scheme
Art
Startups
Arena
Collaboration
Enterprise Architecture
Algorithms
Embedded Systems
Machine Learning (ML)
PyTorch
TensorFlow
Computer Hardware
Artificial Intelligence
Sensors
Licensing
Military
Law
Training
Market Analysis
Job Details
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 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
Ideal profile
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 s, 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.
EEO is the Law: Notice of Applicant Rights Under the Law.
Job Req Type: Experienced
Required Travel: Yes, 10% of the time
Shift Type: 1st Shift/Days
The expected wage range for a new hire into this position is $125,250 to $187,875.
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 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 AI 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 s, 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.
EEO is the Law: Notice of Applicant Rights Under the Law.
Job Req Type: Experienced
Required Travel: Yes, 10% of the time
Shift Type: 1st Shift/Days
The expected wage range for a new hire into this position is $125,250 to $187,875.
- Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
- This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
- This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.