Lyte builds vertically integrated perception hardware for robots—custom silicon, 4D sensors, and embedded AI running on ARM processors and NVIDIA Jetson platforms. The stack is deeply embedded (C++, CUDA, FPGA, SystemVerilog, RTOS) with heavy simulation work (Gazebo, Isaac Sim, Mujoco), reflecting a company optimizing silicon design and sensor fusion for real-time robotic vision. Hiring velocity is accelerating with 13 roles posted in the last 30 days, concentrated almost entirely in engineering; the project list reveals active manufacturing scale-up work—wafer probing, device packaging, assembly automation—signaling a transition from prototype to production.
Notable leadership hires: Mechanical Lead
Lyte manufactures perception hardware for autonomous systems companies building robots in industrial automation and last-mile delivery. The platform combines custom silicon photonics devices, 4D sensing hardware, and embedded AI software into a modular system designed to drop into existing robotic platforms. Founded in 2021, the company operates from Sunnyvale with a 51–200 person team. Current operational focus spans silicon photonics design, manufacturing process optimization (yield and cost reduction), assembly automation, and wafer-level testing—infrastructure typical of hardware-scale transitions.
Lyte's stack includes C++, Python, CUDA for compute; ARM Cortex processors and FPGA for embedded hardware; LiDAR sensing; simulation tools (Gazebo, Isaac Sim, Mujoco); and NVIDIA Jetson platforms for inference.
Current projects include silicon photonics device design, wafer-level probe testing, device packaging and mechanical design, assembly automation, and manufacturing process improvements focused on yield and cost reduction.
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Lyte's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.