Embedded Ai Tooling Engineer

Analog Devices Foundation

Base: $110,385 to $151,808; bonus: discretionary p...
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Embedded systems and computer architecture experience
End-to-end ai/ml model development and deployment
Hardware-aware neural architecture design and optimization
** Analog Devices is seeking an Embedded AI Tooling Engineer to join their team responsible for developing next-generation embedded AI deployment infrastructure. The ideal candidate will possess strong embedded systems experience, expertise in AI/ML model development, and proficiency in programming languages such as C, C++, and Python. **

Job Summary

  • The role involves building end-to-end workflows that span model development, optimization, and deployment to resource-constrained ADI embedded platforms.
  • Candidates will design novel AI model deployment tools for heterogeneous architectures like DSPs, NPUs, and CPUs as part of a larger SoC.
  • The position offers the opportunity to lead high-impact projects shaping the future of embedded AI deployment while working on cutting-edge hardware.

Matching Summary

Match Score: 75

** Analog Devices is seeking an Embedded AI Tooling Engineer to join their team responsible for developing next-generation embedded AI deployment infrastructure. The ideal candidate will possess strong embedded systems experience, expertise in AI/ML model development, and proficiency in programming languages such as C, C++, and Python. **

Salary

Base: $110,385 to $151,808; Bonus: Discretionary performance-based bonus; Benefits: Medical, vision, dental, 401k, paid vacation, holidays, sick time

Skills & Requirements

Must-have

  • Embedded systems and computer architecture experience
  • End-to-end AI/ML model development and deployment
  • Hardware-aware neural architecture design and optimization
  • Proficiency in C, C++, Python firmware development
  • Neural network quantization, pruning, and distillation techniques
  • Knowledge of NPUs, DSPs, and heterogeneous hardware execution
  • Experience with TensorFlow, PyTorch, ONNX Runtime, TVM

Nice-to-have

  • Hardware-software co-design and custom operator development
  • Neural architecture search (NAS) and automated optimization
  • Digital signal processing (DSP) algorithm implementation
  • Agentic AI systems and multi-agent frameworks
  • FPGA development including synthesis and verification
  • Zephyr RTOS and open-source ecosystem contributions
  • Compiler optimizations and code generation for accelerators

Key Requirements

  • Strong embedded systems and computer architecture background
  • Expertise in AI/ML model optimization for embedded platforms
  • Deep understanding of neural network quantization and pruning
  • Proficiency in low-level software development with C/C++/Python
  • Experience with build systems and CI/CD pipelines
  • Background in ML algorithms such as CNN, DNN, Transformers
  • US Citizenship or Permanent Resident status required for export control

Work Rights

Must be US Citizen, US Permanent Resident, or protected individual

Tailored Resume

Cover Letter