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Lyte AI

Robotics perception platform with silicon-level fusion

Platform Software Engineer

Embedded EngineeringConfirmed live in the last 24 hours
Full-timeBucharest, RomaniaIn-person

About the Job

Requirements

  • A BS or MS in Computer Engineering, Electrical Engineering, or Computer Science is required.
  • At least 7 years of embedded firmware or driver development experience in C and C++ is required.
  • Strong understanding of microcontrollers and systems-on-chip, memory, interrupts, and concurrency is required.
  • Device-driver and peripheral bring-up experience, including SPI, I2C, UART, DMA, and similar interfaces, is required.
  • Board bring-up and debugging experience using lab tools such as oscilloscopes, logic analyzers, and JTAG is required.
  • Familiarity with real-time operating systems and Linux kernel driver development is required.

Responsibilities

  • Develop and maintain platform firmware and board support packages for Gen2 hardware.
  • Write and optimize low-level device drivers for SPI, I2C, UART, GPIO, and DMA.
  • Bring up new boards and systems-on-chip from power-on through functional firmware.
  • Implement bootloaders, hardware abstraction layers, and power management.
  • Integrate firmware with a real-time operating system.
  • Debug hardware and firmware issues using oscilloscopes, logic analyzers, and JTAG/SWD.
  • Optimize for performance, memory footprint, and real-time constraints.
  • Collaborate with silicon, hardware, and application teams on interfaces.

Desired Qualifications

  • Experience with ARM Cortex-M/R.
  • Experience with bootloaders, secure boot, or over-the-air updates.
  • Experience with video RGB, RGB MIPI (CSI-2) camera interfaces, and image signal processor pipelines.
  • A background in robotics, sensors, or autonomous systems.

About the Company

Lyte AI

Robotics perception platform with silicon-level fusion

Lyte AI builds an end-to-end perception stack for robots, from custom sensing silicon to software. Its LyteVision platform combines camera data, inertial measurements, and a 4D distance-velocity sensor into a single synchronized data stream at the silicon level. This reduces latency and calibration drift that can occur when stitching together separate sensors. The system is designed for industrial uses such as inspection, logistics, and manufacturing robots, and also aims to power broader Physical AI platforms. The company differentiates itself through its fully integrated, silicon-level sensor fusion and a pedigree of engineers who helped create depth sensing for devices like Face ID and Kinect, backed by substantial funding to scale silicon production and deployments. Its goal is to provide reliable, low-latency robot perception to enable scalable automation across industrial settings.

Company size
51-200
Company stage
Series C
Total funding
$272M
Headquarters
Mountain View, CA
Founded
2021

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