Related skills
python computer vision tensorflow pytorch lidarπ Description
- Develop auto-labeling and data augmentation for onboard perception and mapping.
- Read literature, analyze data, and design state-of-the-art solutions.
- Collaborate on algorithm design, prototyping, testing, and cloud deployment.
- Develop clean software for auto-labeling and data augmentation.
- Build and maintain industry-leading software practices and principles.
- Show initiative and be a valued team member in a fast-paced environment.
π― Requirements
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or related field and 4+ years of relevant experience (or Master's degree and 2+ years, or PhD)
- Strong ML knowledge and experience with deep learning using PyTorch or TensorFlow
- Experience in developing perception systems using camera, LiDAR, and RADAR
- Experience in developing object detection, lane detection, or semantic segmentation models
- Experience in developing/fine-tuning transformer models, diffusion models, or vision-language models (VLM)
- Development experience in Python/C++ environments
π Benefits
- High-quality medical, dental, and vision insurance
- Health savings account with employer match
- Employer-matched 401(k) with immediate vesting
- Paid parental leave
- Unlimited vacation and 15 paid holidays
- Daily lunches, snacks, and beverages
π Visa sponsorship
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