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Senior, niche embedded Edge AI skillset and specialized tooling reduce applicant density.
Requires embedded systems, DSP, Simulink and edge ML expertise, making industry transferability limited.
Multiple explicit years and mandatory embedded ML, Simulink, and toolchain requirements enforce strict filters.
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Design, develop, test, optimize, and deploy DSP and ML/AI algorithms on resource-constrained embedded edge platforms.
Define end product workload use cases, implement and characterize model performance for embedded systems.
Work closely with stakeholders and engineering teams to deliver production-grade Edge AI solutions using Agile methodologies.
Bachelor's or Master’s degree in Electronics or Electrical Engineering with electives/thesis in embedded systems or model-based design.
8+ years of progressive experience in embedded systems development with proven product delivery in production environment.
6+ years experience using MATLAB/Simulink including automatic code generation and HIL testing.
3+ years hands-on experience with AI/ML on edge, using frameworks like TensorFlow Lite and edge-specific ML libraries.
Strong systems and digital signal processing knowledge combined with expertise in model-based development and embedded AI.
Experienced in Agile development processes with hands-on use of Jira, Bitbucket, and Confluence in global team environments.
Proven problem solver with experience debugging on hardware and delivering optimized, unit-tested code for embedded edge AI applications.