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Lyte AI

Robotics perception platform with silicon-level fusion

Senior PHY Algorithm Engineer

Electrical EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree in Electrical Engineering, Computer Science, or a closely related field is required.
  • At least 5 years of algorithm development experience spanning concept, modeling, and implementation for signal processing and/or advanced communication systems is required.
  • Proficiency in Python, MATLAB, and C/C++ for developing, integrating, and validating algorithms within end-to-end digital signal processing pipelines is required.
  • Demonstrated expertise in fixed-point design and implementation of computationally intensive algorithms, including delivery of bit-exact and cycle-accurate fixed-point models and detailed specifications, is required.
  • Experience collaborating with Digital Front-End designers, verification engineers, and embedded digital signal processing software developers is required, including generating test vectors for bit-exact algorithm implementations in RTL and embedded software.
  • Strong analytical, debugging, and problem-solving capabilities are required.
  • Excellent written and verbal communication skills are required.
  • Ability to work effectively across multidisciplinary engineering teams is required.

Responsibilities

  • Research, design, and develop advanced signal processing algorithms for sensing applications.
  • Define, document, and maintain algorithmic specifications and technical documentation.
  • Perform fixed-point analysis and modeling to support efficient hardware and software implementations.
  • Develop and execute end-to-end algorithm pipeline simulations using MATLAB and/or Python.
  • Evaluate and validate algorithm performance at block and system levels within simulation environments.
  • Optimize platform and hardware architectures, focusing on effective hardware/software partitioning.
  • Collaborate with front-end design, verification, architecture, software, and system teams throughout the development lifecycle.
  • Support silicon bring-up and end-to-end system integration, including data analysis and validation.
  • Develop, optimize, and provide long-term support for high-performance digital signal processing algorithm pipelines.

Desired Qualifications

  • Experience in algorithm development and data analysis across application domains such as automotive systems, Internet of Things, robotics, and multimodal sensor platforms.
  • A strong foundation in signal processing, including spectrum analysis, filter design, estimation and detection theory, and optimization techniques.
  • Experience developing computer vision and machine learning algorithms, including clustering, tracking, classification, and 3D point-cloud processing.
  • Experience porting and optimizing digital signal processing algorithms for dedicated hardware accelerators and heterogeneous CPU/DSP/GPU architectures, particularly for radar and LiDAR sensor applications.

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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