Senior Engineering Manager, Edge Software

Liveviewtechnologiesinc

American Fork, United States
On-site (with limited consideration for fully remote candidates)
Edge ai deployment on resource-constrained hardware
Golang, c++ or similar languages
Quantization, pruning, knowledge distillation
LiveView Technologies is seeking a Senior Engineering Manager for Edge Software to lead a team focused on developing AI-driven solutions at the intersection of IoT and edge computing. The ideal candidate will have extensive experience in engineering leadership and deep learning deployment, with a strong emphasis on innovation and operational excellence

Job Summary

  • Lead a high-performing technical team at the intersection of IoT, hardware, and Edge AI.
  • Partner with Architects and Principal Engineers to drive the design of a robust edge platform capable of handling growing complexity.
  • We invest in our crew’s health, families, and financial futures with a benefits package designed to support you inside and outside the office.

Matching Summary

Match Score: 85

LiveView Technologies is seeking a Senior Engineering Manager for Edge Software to lead a team focused on developing AI-driven solutions at the intersection of IoT and edge computing. The ideal candidate will have extensive experience in engineering leadership and deep learning deployment, with a strong emphasis on innovation and operational excellence.

Skills & Requirements

Must-have

  • Edge AI deployment on resource-constrained hardware
  • GoLang, C++ or similar languages
  • Quantization, pruning, knowledge distillation
  • Deploying software across thousands of IoT devices
  • Balancing technical debt with innovation

Nice-to-have

  • Fostering a culture of innovation
  • Bridging cloud and edge environments
  • Data-driven decision making
  • Transparency and alignment across organization

Key Requirements

  • 7+ years of engineering experience
  • 3+ years managing direct reports
  • Deploying deep learning models on resource-constrained hardware
  • Experience with Yocto and Zephyr frameworks
  • Experience with TensorRT, OpenVINO, or TensorFlow Lite
  • Practical experience deploying and managing software across thousands of remotely distributed IoT devices
  • Degree in Computer Science, Engineering, or related technical field

Work Rights

Authorized to work in the U.S.

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