Staff Embedded Software Engineer in Sydney

Staff Embedded Software Engineer in Sydney

Sydney Full-Time 49500 - 60500 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead firmware architecture for microcontrollers and FPGA interfaces in a cutting-edge environment.
  • Company: Join Q-CTRL, a leader in innovative technology based in Sydney.
  • Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team focused on groundbreaking research and development.
  • Why this job: Make a real impact by developing high-reliability systems with advanced technologies.
  • Qualifications: 8+ years of embedded experience with strong skills in Rust or C/C++.

The predicted salary is between 49500 - 60500 $ per year.

Q-CTRL is seeking a Staff Embedded Software Engineer in Sydney to lead ground-up firmware architecture for microcontrollers, FPGA interfaces, and high-reliability platforms.

You will own real-time embedded software, navigation-grade sensors, and HIL testing within Sensing R&D, partnering with hardware and software teams.

The ideal candidate has 8+ years of hands-on embedded experience, strong Rust (Embassy) or C/C++, and a track record of delivering scalable, field-ready systems.

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Staff Embedded Software Engineer in Sydney employer: Matchbox

At Firmus Technologies, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture in the heart of Sydney. Our commitment to employee growth is evident through hands-on opportunities to shape the future of AI infrastructure, with direct access to leadership and minimal bureaucracy. Join us to be part of a pioneering team where your contributions have a meaningful impact on both the business and the communities we serve.

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Contact Details:

Matchbox Recruitment Team

We think you need these skills to ace Staff Embedded Software Engineer in Sydney

Embedded Software Development
Firmware Architecture
FPGA Interfaces
Real-Time Systems
Rust (Embassy)
C/C++ Programming
High-Reliability Platforms