Senior Software Engineer, Data Platform

Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Forbes, Insider, Consumer Electronics Show, AUVSI, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

• Create and maintain optimal data processing pipeline architecture
• Build the infrastructure required for optimal extraction, transformation, and loading of data using SQL and big data technologies
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
• Interpret data, analyze results using statistical techniques and provide ongoing reports 
• Identify, analyze, and interpret trends or patterns in complex data sets
• Work with stakeholders including the Executive, Engineering, and Operation teams to assist with data-related technical issues and support their data infrastructure, analysis, and reporting needs
• Keep our data secure through multiple data centers and AWS regions

• MS in Computer Science, Electrical Engineering, or related field
• 3+ years of software engineering experience
• Good oral and written communication skills
• Expertise in Python, SQL, microservices, databases, data pipelines
• Technical expertise regarding data models, database design and development, data mining and segmentation techniques
• Experience with large scale data processing, e.g. MapReduce, Spark, Kafka
• Experience with AWS core technologies such as EC2, RDS, EMR, S3 and Lambda
• Extensive software design and development skills. Ability to learn and adapt to new technologies and contribute in a productive environment.
• Strong knowledge of and experience with reporting packages

• Experience with deep learning frameworks (e.g. TensorFlow, PyTorch); 
• Experience working with autonomous vehicles or robotics.