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Senior Embedded Systems Engineer

Stelvio Inc.

Location

Salt Lake City, UT

Salary

$150,000 - $180,000 /yearly

Type

fulltime

Posted

Today

via linkedin

Job Description

Senior Embedded Systems Engineer

Location: Salt Lake City, UT

Salary: $150,000–$180,000 \+ Equity

Employment Type: Permanent, Full-Time

We're recruiting for an innovative AI technology company developing advanced vehicle inspection systems using cameras, sensors, and real-time data processing.

This is an exciting opportunity to join a small, fast-growing engineering team where you'll take ownership of embedded software and firmware development, influence technical direction, and work directly with cutting-edge hardware.

Key Responsibilities:

  • Architect and develop embedded Linux software and firmware for camera and sensor systems.
  • Lead technical decisions, establish best practices, and mentor engineers.
  • Develop and optimise camera triggering, synchronisation, sensor control, and fault handling.
  • Build signal processing pipelines for depth measurement, calibration, and sensor data.
  • Integrate hardware and software, troubleshooting issues from prototype through production.
  • Support testing, deployment, and continuous improvement of production systems.

What We're Looking For:

  • 6\+ years' experience in embedded systems engineering.
  • Strong programming skills in C/C\+\+ and/or Python.
  • Extensive experience with Embedded Linux and production-grade software development.
  • Hands-on hardware and sensor integration experience using UART, I2C, SPI, GPIO, CAN, RS-485, or Modbus.
  • Experience with oscilloscopes, logic analysers, board bring-up, and hardware debugging.
  • Proven technical leadership and system architecture experience.
  • Familiarity with AI-assisted development tools such as Cursor, Claude Code, or Codex.
  • A proactive, hands-on approach with the ability to thrive in a fast-paced engineering environment.

What's on Offer:

  • $150,000–$180,000 base salary \+ equity
  • Opportunity to shape the embedded architecture of an innovative AI-powered product.
  • Hands-on engineering with advanced camera, sensor, and computer vision technologies.
  • Small, collaborative team with significant technical ownership and influence.

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