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REQ_ID // HW-04A
Embedded Systems Lead
NODE_LOCSF / LAB_01
EMP_TYPEFull-Time
DOMAINEdge Optimization
CORE_STACKRTOS, TensorRT, ARM/RISC-V
The Mission
The brain must talk to the body. You are responsible for ensuring that the neural policies generated by our simulation environments run flawlessly on raw edge hardware. We deploy highly compressed TensorRT graphs onto constrained silicon.
If the robot fails because of a context-switching delay or a missed hardware interrupt, the responsibility is yours.
Core Responsibilities
- Inference Optimization: Compile and quantize Large Behavior Models into raw edge-execution formats. Achieve sub-millisecond inference across complex neural architectures.
- RTOS Execution: Maintain strict, deterministic timing bounds using Real-Time Operating Systems. Zero garbage-collection tolerance.
- Sensory Array Fusion: Integrate IMU, LIDAR, and Vision inputs into the central nervous pipeline without buffering delays.
- Hardware Abstraction: Engineer a universal hardware abstraction layer that allows our policies to be flashed onto bipeds, quadrupeds, or industrial arms seamlessly.
Qualifications
- Years of bare-metal embedded C/C++ experience and custom board bring-up.
- Fluency in embedded architectures (ARM Cortex, RISC-V, Nvidia Jetson).
- Understanding of neural network deployment (ONNX, TensorRT, TVM).
- Proficiency with RTOS platforms (Zephyr, FreeRTOS, VxWorks) and hardware interrupt management.
The Iacon Standard
Your code controls heavy machinery in dynamic spaces. The code must be perfect. We accept no compromise on safety or performance.
SYSTEM_UPLOAD // APPLICATION_PAYLOADAWAITING_INPUT