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Lyte AI

Robotics perception platform with silicon-level fusion

Real-Time Operating System Software Engineer

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

About the Job

Requirements

  • A Bachelor of Science or Master of Science in Computer Engineering, Electrical Engineering, or Computer Science is required.
  • At least 5 years of embedded firmware development in C on RTOS-based systems is required.
  • A deep understanding of real-time scheduling, concurrency, and synchronization is required.
  • Experience with at least one RTOS, such as FreeRTOS, Zephyr, ThreadX, or QNX, and Linux kernel driver development is required.
  • Strong debugging skills with JTAG/SWD, trace, and lab instruments are required.
  • An understanding of microcontroller and SoC architecture, including memory, interrupts, and DMA, is required.

Responsibilities

  • Design, implement, and optimize real-time firmware on an RTOS.
  • Develop task scheduling, inter-process communication, synchronization, and deterministic real-time behavior.
  • Implement device drivers and middleware within the RTOS environment.
  • Tune firmware for latency, jitter, and CPU and memory footprint.
  • Port and configure the RTOS for new SoCs and boards.
  • Debug real-time and concurrency issues, including race conditions and priority inversion.
  • Collaborate with platform, digital signal processing, and application teams.

Desired Qualifications

  • Experience with ARM Cortex-M/R is preferred.
  • Experience with low-latency, high-rate sensor data pipelines is preferred.
  • Safety-critical or functional-safety firmware experience, including ISO 26262, is preferred.
  • Experience with multi-core AMP/SMP RTOS configurations is preferred.
  • A background in robotics or autonomous systems is preferred.

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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