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Open nowPosted 25 hours ago

Embedded Software Engineer II

Brady Corporation152 open roles

Where
Boston, MA, USA
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Your applicationOpen nowEmbedded Software Engineer IIBrady Corporation · Boston, MA, USA

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Brady Corporation's own form.

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The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market. Brady Corporation postings stay open a median of 8 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted 25 hours ago

Brady Corporation median: 8 days open

The posting

Brady Engraving Solutions is seeking an Embedded Software Engineer to design, architect, and maintain high-performance embedded systems and edge-compute platforms for our next-generation industrial laser marking products.

This full-stack embedded role covers low-level CPU firmware, real-time control, edge AI acceleration, custom Embedded Linux distributions, zero-latency vision pipelines, embedded web applications, and industrial networking. You will own hardware-software partitioning, interface contracts, device driver development, and system security compliance.

  • Evaluate and partition hardware-software components across edge compute and controller platforms.
  • Lead end-to-end new feature development & lifecycle software delivery from technical requirements definition and system design to unit testing, cross-functional integration, and production release deployment.
  • Build and maintain CI/CD pipelines, static analysis, and automated testing.
  • Develop and debug real-time, multithreaded firmware in C and modern C++.
  • Customize and maintain Embedded Linux distributions, custom drivers, and system software.
  • Lead board bring-up by collaborating with hardware, software, and optics teams.
  • Implement security features like secure boot, root-of-trust, and OTA updates.
  • Design low-latency camera vision pipelines for edge vision and laser alignment.
  • Optimize ML inference runtimes to achieve sub-100ms latency on edge AI frameworks.
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