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Lead Embedded Software Engineer
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Full-time
- Backed by Celesta Capital, Continental, Robert Bosch, GreatPoint Ventures, Toyota AI Ventures, BMW i Ventures, The Mayfield Fund, and other leading VC partners, the company is headquartered in San Jose, California with additional operations in Munich, Germany.
- As a senior member of Recogni's embedded software team, you will be responsible for implementing the software that runs inside a high-performance and low-power convolutional neural network accelerator ASIC that forms the core of the company's flagship perception module product for autonomous driving applications.
- Running in the ASIC, this software orchestrates the computational accelerators and system interfaces to form an end-to-end vision perception module that achieves record-breaking computational performance at low power, interfacing with an autonomous vehicle's central path planning system from multiple points on the vehicle.
- Work as a principal technical contributor in the definition, design, implementation and verification of the embedded software of a high-performance AI-based camera and perception module for ADAS systems.
- Collaborate with hardware engineers designing application-specific integrated circuits (ASIC) in the selection of embedded CPU cores (e.g. ARM, RISC-V, etc.)
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