
Perception Systems Developer
16 hours ago
We are seeking a skilled Machine Learning Engineer to join our Perception team and contribute to the development of Level 4 autonomous driving technology.
This is an exciting opportunity for you to work on the tech stack responsible for perceiving dynamic scenarios, tracking, and classifying objects around our robo-taxi.
Key Responsibilities:- Participate in the full machine learning development cycle, including data preprocessing, model training, evaluation, and deployment.
- Productionize and deploy large perception models on edge devices, considering optimization techniques such as pruning and quantization.
- Optimize training with large data and distributed machines.
- Collaborate with cross-functional teams to implement scalable solutions and improvements.
- Troubleshoot, debug, and optimize machine learning workflows for efficiency and performance.
- Bachelor's Degree. Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics, or a related field; or equivalent industry experience.
- 3+ years of experience with deep learning frameworks such as PyTorch.
- Strong programming skills in C++, TensorRT, and/or CUDA programming.
- Fluency in Python, including standard scientific computing libraries and Python bindings development experience.
- Proven track record of developing and deploying perception systems for autonomous vehicles or robotics.
- Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods.
- Experience with embedded systems and real-time optimization, especially in the autonomous driving industry.
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