PL Robotics Engineer IndaiatubaSP

As a PL Robotics Engineer at John Deere based at the Indaiatuba/SP unit in the RDC you will be responsible for developing and implementing scalable computer vision and machine learning algorithms for automation products.
You will also perform rapid prototyping to design algorithms for agricultural construction and forestry machinery platforms developing applications and tools for algorithm validation prototyping and demonstration.
Collaborate with cross-functional teams to integrate and support the solutions ensuring they are aligned with customer needs and operational requirements.

Key Responsibilities

• Develop and deploy scalable computer vision and machine learning algorithms for John Deere automation and autonomy product;
• Perform rapid prototyping to design algorithms for John Deere agricultural construction and forestry machinery platforms;
• Develop applications and tools for algorithm evaluation prototyping and demonstration;
• Accelerate and optimize CVML algorithms for low latency efficient resource utilization and low power consumption on production edge hardware;
• Collaborate with cross-functional teams to integrate and support CVML solutions into existing products ensuring they align with customer needs and operational requirements.

Skills You Need

• Bachelors degree in Computer Science Computer or Electrical Engineering Mechanical Engineering Robotics Machine Learning or equivalent degree in a related field;
• Advanced English: broad vocabulary strong grammar skills able to lead meetings articulate arguments negotiate effectively and deliver trainings;
• Proven experience working in products using computer vision and/or machine learning technologies;
• Proficiency in programming languages and tools used in CVML development (C Python OpenCV ROS etc.) and large data handling (Spark Databricks etc.);
• Knowledge of machine learning and computer vision libraries such as PyTorch TensorFlow TensorRt scikit-learn scikit-learn PIL etc;
• Experience with handling processing and visualizing large datasets and creating insights and performance reports;
• Self-motivated responsible excellent written and verbal interpersonal skills;
• Ability to work as a team player: taking ownership and working collaboratively to deliver exceptional results;

What Makes You Stand Out

• Solid grasp of CVML algorithms development pipelines ML lifecycle management data management etc;
• Foundation in computer vision machine learning deep learning statistical methodology predictive modelling and algorithms development;
• Experience with cloud platforms (AWS) containerization (Docker) and version control (Git);
• Experience developing tools for visualization debugging and testing frameworks;
• Ability to learn rapidly and adapt cutting-edge technology.