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Embedded Systems Engineer - Remote

Posted 6 days ago
Software Development
Full Time
USA

Overview

The Embedded Systems Engineer will be a founding engineer at Hoplynk, responsible for the end-to-end firmware architecture and ensuring reliable systems in the field.

In Short

  • Join as the first embedded specialist and a founding engineer.
  • Own firmware architecture from boot to diagnostics.
  • Spearhead system architecture and software deployment.
  • Implement robust OTA updates and manage release channels.
  • Integrate testing with software and hardware teams.
  • Develop high-performance drivers for various devices.
  • Document designs, trade-offs, and test plans clearly.
  • Collaborate on networking scheduling and QoS.
  • Work with embedded Linux and shipping hardware-backed products.
  • Contribute to a culture of candor, humility, and initiative.

Requirements

  • Deep embedded Linux experience with C/C++ and Python.
  • Strong knowledge of Yocto or Buildroot and boot processes.
  • Ability to read schematics and understand power constraints.
  • Clear communication and documentation skills.
  • Experience with NIC/wireless driver integration is a plus.
  • Background in robotics or autonomy devices is desirable.

Benefits

  • Work at a pre-seed startup with innovative technology.
  • Be part of a team shaping the future of autonomous systems.
  • Flexible remote working environment.
  • Opportunity for professional growth and development.
  • Collaborative and supportive team culture.
Hoplynk logo

Hoplynk

Hoplynk is an innovative pre-seed startup based in San Francisco, spun out of Stanford University, focused on developing the communications and networking layer for the intelligent edge. The company aims to ensure resilient connectivity for autonomous systems and mission-critical operations across various environments. By creating an embedded software and firmware stack that delivers multipath, failure-aware networking, Hoplynk is dedicated to keeping critical systems online even when traditional networks fail.

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