Principal AI Engineer

Analog Devices • Boston, MA

151d • $148,500 - $222,750

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• Medical, vision and dental coverage
• 401k
• Paid vacation
• Holidays
• Sick time
• Discretionary performance-based bonus

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees