Responsibilities

• Design and implement high-performance, high-availability distributed data pipelines and services.
• Build and maintain distributed systems that can handle large volumes of data in real-time.
• Develop and deploy scalable tools and services to handle machine learning training and inference.
• Design and implement data analytics and reporting tools for R&D as well as business uses.
• Collaborate with cross-functional teams to define data requirements and ensure that data is collected, stored, processed, and analyzed in a secure, efficient, and scalable manner.
• Develop and maintain data quality checks and monitoring systems to ensure the accuracy and integrity of the data.
• Continuously improve the performance, scalability, and reliability of our data infrastructure.
• Up the bar on sustainable engineering by improving best practices, producing best in class of code, documentation, testing and monitoring.

Required Skills

• MS in Computer Science, Electrical Engineering, or related field
• 3+ years of backend software engineering experience.
• Good oral and written communication skills.
• Expertise in Python, microservices, databases, data pipelines.
• Experience with large volumes of sensor data processing.
• Extensive software design and development skills. Ability to learn and adapt to new technologies and contribute in a productive environment.
• Bonus: Experience with deep learning frameworks (e.g. TensorFlow, PyTorch); Experience with front-end development; Experience working with autonomous vehicles or robotics.