Principal AI Engineer

Analog Devices-posted 3 months ago
$148,500 - $222,750/Yr
Full-time • Senior
Boston, MA
5,001-10,000 employees
Computer and Electronic Product Manufacturing
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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.

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