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AI Embedded Engineer IV
Autonomous Solutions
Mendon, USA
Full-time
Senior · 10+ years experience
Onsite
Discovered 1 weeks ago
CC++TensorRT
Free
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CC++TensorRT
Key Skills for This Role
CC++TensorRT
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Responsibilities
- Deploy trained models to embedded Central Processing Units (CPUs) and Graphics Processing Units (GPUs) on vehicle compute, owning export, optimization, quantization, and latency budgets.
- Retrain and fine-tune existing models when field performance drifts, and validate the result on the vehicle rather than only on a benchmark.
- Build and maintain ROS nodes, topics, and interfaces running on the vehicle, and keep them stable under real workloads.
- Write the Python and C++ bridges that connect compute to robot control, sensor drivers, and the rest of the autonomy stack.
- Profile and tune runtime performance against real constraints, including compute headroom, memory, thermal limits, and power budgets.
- Bring up new sensors and compute hardware, including NVIDIA Jetson platforms, LiDAR units, and depth and vision systems, through provisioning, configuration, and calibration.
- Design and build sensor and data-collection rigs, covering sensor selection, mounting, wiring, power, networking, and onboard recording, then take them into the field.
- Debug hard cross-boundary problems spanning timing, synchronization, coordinate frames, machine motion, and compute limits.
- Fabricate and modify the mounts, brackets, and fixtures your hardware needs, and build and debug supporting wiring, harnesses, and small custom circuits.
- Characterize what you deliver honestly, including where it works, where it fails, and what conditions break it, so downstream teams know what they are inheriting.
- Document approaches, assumptions, results, and known limitations, and hand off work the production teams can build on with confidence.
- Provide technical guidance to other engineers on embedded deployment, sensor integration, and on-vehicle debugging.
Required Qualifications
- Bachelor's degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or a related technical field.
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