🛠 Tech Stack

💼 About This Role

You'll join the annotation automation team to accelerate high-quality ground truth for autonomous trucking. You'll build and deploy large-scale ML pipelines on AWS for camera/lidar object detection, tracking, fusion, and HD map creation. This role offers the chance to work on production-grade self-driving data systems at a company partnered with Daimler.

🎯 What You'll Do

• Implement and test offline object detection, tracking, and fusion modules.
• Support and enhance auto-labeling pipelines on AWS.
• Assist in deployment and performance tuning of cloud-based ML pipelines.
• Contribute to data-centric AI workflows for data quality and model uplift.

📋 Requirements

• Bachelor's or Master's in CS, CE, Robotics, or related field.
• 2+ years of professional experience in autonomous driving, robotics, or computer vision.
• Strong Python or C++ skills.
• Practical experience with deep learning framework like PyTorch or TensorFlow.

✨ Nice to Have

• Familiarity with AWS services (S3, EC2, SageMaker).
• Experience with Lidar point clouds or sensor fusion.
• Exposure to DNN optimization tools like TensorRT or ONNX.

🎁 Benefits & Perks

• 🏖️ Flexible schedule and generous paid vacation available immediately.
• 💼 Competitive compensation including bonus and stock options.
• 🏥 100% paid medical, dental, and vision for full-time employees.
• 💰 401K plan with 6% employer match.
• 🛡️ AD&D and Life Insurance.