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Principal Systems Architect - Edge AI

๐Ÿ•’ 6 days ago
Embedded SystemsAudio TechnologyMachine LearningAI-enabled Engineering

๐Ÿ“œ Description

  • Architect complex embedded hardware/software solutions for future Bose technologies.
  • Evaluate new concepts for technical feasibility and architectural tradeoffs.
  • Translate audio, sensing, ML, and AI technologies into reusable system architectures.
  • Build simulations and prototypes to evaluate candidate solutions.
  • Develop AI workflows for architecture exploration and verification.

๐Ÿ› ๏ธ Requirements

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or equivalent practical experience.
  • Significant experience developing or architecting complex embedded hardware and software systems.
  • Strong systems architecture experience across hardware and software.
  • Experience with embedded processors, SoCs, DSPs, real-time systems, and Linux-based platforms.
  • Strong knowledge of digital audio signal processing and audio system architectures.
  • Experience implementing or deploying machine learning models on embedded or edge devices.
  • Understanding of edge-ML constraints including compute, memory, power, latency, and hardware acceleration.
  • Demonstrated experience using AI to solve meaningful technical problems.

โœจ Benefits

  • Comprehensive health and welfare benefits.
  • 401(k) plan.
  • Exclusive perks designed to support your wellbeing.
  • Generous employee discount on products.
Full job description

Join Bose as a Principal Systems Architect in Edge AI, where you'll shape the future of audio technology through innovative embedded systems and AI solutions.

Description

  • Architect complex embedded hardware/software solutions for future Bose technologies.
  • Evaluate new concepts for technical feasibility and architectural tradeoffs.
  • Translate audio, sensing, ML, and AI technologies into reusable system architectures.
  • Build simulations and prototypes to evaluate candidate solutions.
  • Develop AI workflows for architecture exploration and verification.

Requirements

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or equivalent practical experience.
  • Significant experience developing or architecting complex embedded hardware and software systems.
  • Strong systems architecture experience across hardware and software.
  • Experience with embedded processors, SoCs, DSPs, real-time systems, and Linux-based platforms.
  • Strong knowledge of digital audio signal processing and audio system architectures.
  • Experience implementing or deploying machine learning models on embedded or edge devices.
  • Understanding of edge-ML constraints including compute, memory, power, latency, and hardware acceleration.
  • Demonstrated experience using AI to solve meaningful technical problems.

Benefits

  • Comprehensive health and welfare benefits.
  • 401(k) plan.
  • Exclusive perks designed to support your wellbeing.
  • Generous employee discount on products.
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