
Autonomous Vehicle Perception Engineer
4 days ago
Perception System Developer
As a perception system developer, you will be responsible for designing and implementing large-scale machine learning models to perceive dynamic scenarios, track, and classify objects around our robo-taxi.
Key Responsibilities:
- Data Processing and Model Training: Participate in the full machine learning development cycle, including data preprocessing, model training, evaluation, and deployment on edge devices with optimization techniques in mind.
- Model Deployment and Optimization: Productionize and deploy large perception models on edge devices, focusing on optimization techniques such as pruning, quantization, and distributed training.
- Cross-Functional Collaboration: Collaborate with cross-functional teams to implement scalable solutions and improvements, ensuring seamless integration with other systems.
- Workflow Optimization: Troubleshoot, debug, and optimize machine learning workflows for efficiency and performance, ensuring timely project delivery.
Requirements:
- Education and Experience: Bachelor's degree or equivalent industry experience, with 1+ year of experience with deep learning frameworks such as PyTorch.
- Programming Skills: Strong programming skills in C++, TensorRT, and/or CUDA programming, along with fluency in Python, including standard scientific computing libraries and Python bindings development experience.
- Advanced Knowledge: Proven track record of developing and deploying perception systems for autonomous vehicles or robotics, with advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods.
Bonus Points:
- Embedded Systems Experience: Experience with embedded systems and real-time optimization, especially in the autonomous driving industry, is a plus.
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