Aeva builds FMCW-style 4D LiDAR on silicon photonics, pairing perception software with chip-level hardware. Its stack spans ROS 2, CUDA and Bazel alongside QNX, Zephyr and FreeRTOS, plus requirements tools like IBM DOORS, Polarion and Jama Connect, a safety-critical automotive engineering profile. MES adoption and pain points around yield, test time and supply chain scaling point to a push from prototype toward high-volume production.
Notable leadership hires: Sales Director
Aeva is a public company headquartered in Mountain View, California, founded in 2017, with 201–500 employees. It develops perception sensors that integrate lidar, processing and perception algorithms onto silicon, measuring both velocity and position of objects. Target applications include automated driving, industrial automation, smart infrastructure, robotics and consumer devices. Hiring is concentrated in senior engineering roles across the United States and India, with smaller operations, sales and manufacturing functions.
Aeva uses Python, C++, MATLAB, CUDA, ROS 2, Bazel, Docker and Kubernetes, with embedded platforms QNX, Zephyr, FreeRTOS and Embedded Linux, plus SAP, NetSuite and Oracle for business systems.
Aeva is headquartered in Mountain View, California, and hires in the United States and India.
Aeva's job posts reference optical module test development, silicon photonics tapeouts, active alignment systems, next-generation lidar sensors and a go-to-market strategy for laser displacement solutions.
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Aeva'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.
