Aeva designs integrated LiDAR-on-chip sensors that detect 3D position plus instantaneous velocity, enabling autonomous systems to perceive and react faster. The tech stack—ZEMAX, Cadence, LabVIEW, MATLAB, plus automotive standards (ISO 26262, AUTOSAR, IATF 16949)—reflects a hardware-centric, safety-critical development cycle. The hiring surge is almost entirely engineering (26 of 35 roles), concentrated at senior and director levels, signaling rapid scaling of silicon photonics and firmware teams while product ramp and automotive qualification are active bottlenecks.
Aeva manufactures 4D LiDAR sensors on silicon photonics for autonomous driving, industrial robotics, and consumer electronics. The company is a public entity headquartered in Mountain View, California, with engineering and manufacturing operations spanning the United States and India. Current focus areas include photonics cell development, PCB design for mixed-signal systems, firmware and software test strategies for automotive compliance, and reliability qualification against automotive durability and safety standards. Execution bottlenecks center on delivering high-quality products on time, managing hardware–software complexity, and achieving comprehensive test coverage across multiple product releases.
Aeva builds 4D LiDAR sensors that detect 3D position plus instantaneous velocity by integrating all key LiDAR components onto a silicon photonics chip. This enables autonomous vehicles and robots to make faster, safer decisions.
Aeva uses ZEMAX (optics), Cadence (chip design), LabVIEW (embedded systems), MATLAB (signal processing), QNX and Embedded Linux (real-time firmware), plus automotive standards: ISO 26262, AUTOSAR, and IATF 16949. They're also adopting MES for manufacturing execution.
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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 →
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