Your role is remote but it does require frequent travel to the HQ office, to work on the actual hardware, and potential visits to customer sites.

What You'll Do:

• Implement end-to-end AI applications and deploy them to production on real-world and simulated robotic systems.
• Monitor, diagnose, and address issues in deployed AI applications (Docker, edge devices, etc.).
• Set up logging, observability, and alerting systems to track application health and behavior.
• Collaborate with other teams to integrate and deliver solutions.
• Generate and curate data to improve our models and applications.
• Set-up and maintain perception hardware.
• Own technical delivery from application design, to deployment and iterative improvement.
• Re-train, perform A/B testing, and re-deploy algorithms in production.
• Offer expert support to our FDE team when issues arise.

Who You Are:

• A skilled and experienced computer vision or machine learning engineer who has a professional background in 2D/3D Computer Vision and 2D/3D Deep Learning.
• A professional software engineer who has implemented solutions for production grade systems for 2+ years.
• You have extensive experience with Python.
• You are familiar with deep learning frameworks such as PyTorch and Tensorflow, computer vision frameworks such as OpenCV.
• You are familiar with model optimization, model conversion, model deployment for edge device compute.
• You have experience with imaging hardware, such as industrial cameras, 3D cameras and stereo systems.
• You have experience using MLOps systems - experiment tracking, data versioning and model serving on platforms such as MLFlow, W&B, CometML, ClearML.
• You have a product oriented mentality.
• You have the ability to break down complex problems into small sub problems and build efficient hierarchical solutions.
• You have the capacity to work with multidisciplinary and international teams and are an excellent communicator who can articulate problems and their solutions in a clear, compelling manner.
• You are passionate about robotics, automation, and the transformative potential of intelligent systems.

Good to Have:

• You have experience with synthetic data generation, domain transfer and an ability to design smart and optimized data collection strategies.
• Experience with ROS/ROS2, Docker, Kubernetes, AWS / GCE.
• Experience with NVIDIA edge devices and their robotics stack.
• Experience with ABB robots and their software suite.

Why Sunrise Robotics?

• Play a pivotal role in defining the future of intelligent robotics and manufacturing.
• Be part of a company that is at the forefront of technological innovation, with a clear mission and vision.
• Competitive compensation, including equity, and a flexible work environment that values innovation, learning, and excellence.