Principal AI Engineer

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).

Role Overview:
The Edge AI team is seeking a Principal AI Engineer to lead the development of next-generation AI building blocks for constrained hardware devices. This role focuses on creating and optimizing AI models and frameworks that push the boundaries of machine learning on resource-limited platforms. As a technical leader, you will take responsibility for the entire lifecycle of AI models and solutions, from development and optimization to benchmarking, implementation, and delivery.

Key Responsibilities:

• Lead the design, development, and optimization of AI models for deployment on Edge AI hardware accelerators.
• Drive hardware benchmarking efforts to evaluate model performance and resource utilization.
• Implement techniques such as quantization, pruning, and other optimization methods to enable efficient AI execution on edge devices.
• Collaborate with cross-functional teams to integrate AI solutions into hardware and software platforms.
• Take ownership of the full model lifecycle, including prototyping, implementation, validation, and delivery.
• Provide thought leadership and technical mentorship to team members, fostering innovation and growth.
• Stay updated on the latest developments in AI and hardware optimization techniques and apply them to improve performance and efficiency.

Qualifications:

• Master’s degree or equivalent experience.
• 8+ years of industry experience in AI/ML model development, optimization, and deployment.
• Strong expertise in AI model optimization techniques, including quantization, pruning, and other performance-enhancing methods.
• Solid understanding of hardware benchmarking and the trade-offs of deploying AI on constrained devices.
• Proficiency in Python and C++ for AI model development and integration.
• Familiarity with AI frameworks such as TensorFlow, PyTorch, or ONNX, and their deployment across various hardware targets.
• Experience with edge hardware platforms, including CPUs, NPUs, and accelerators.
• Proven ability to lead major technical projects and collaborate across multidisciplinary teams.

Preferred Skills:

• Experience with designing custom AI architectures for edge devices.
• Knowledge of Analog Devices hardware platforms or similar embedded environments.
• Strong communication and leadership skills, with a demonstrated ability to mentor and grow engineering talent.

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.

EEO is the Law: Notice of Applicant Rights Under the Law.

• 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.