We are processing vast data for Advanced Driver Assistance Systems (ADAS). We are
looking for a Senior Software Engineer to join our team and be a key contributor to our
mission. If you are passionate about electric vehicles, possess expertise in data
processing, and can work with extensive datasets, we invite you to apply.
In this role, you will be instrumental in our electric vehicle and ADAS projects, using
your skills to process and analyze/visualize large volumes of data. You will collaborate
with diverse teams, including Quality Control, UI/UX, Backend to create cutting-edge
solutions that will drive the future of transportation.
Responsibilities
• Coordinating with cross-functional teams to understand and define Data
processing pipeline requirements.
• Build and maintain Data Processing pipeline for huge amounts of data with
Airflow and K8S.
• Conducting thorough code reviews and participating in testing to ensure code
quality and reliability.
• Troubleshooting and resolving software issues and performance bottlenecks.
• Demonstrating a strong understanding of software technology and architecture
principles.
Requirements
Requirements for this position:
• Minimum of 1 year of experience in Data Processing/ETL
• Minimum of 5 years with Software Development/Data Engineering/Data Scientist.
• Proficiency in designing and developing with Apace Airflow.
• Expertise in Python and Python data processing library: Pandas, Multithreading.
• Experience with AWS or Azure cloud service.
• Experience with Docker, K8S.
• Familiarity with Machine learning and Computer vision.
• A strong focus on high-performance computing and experience code profiling
and optimizing.
• Comfort working in an agile development environment.
• Exceptional problem-solving skills and a knack for thinking outside the box to find
innovative solutions.
• A willingness to challenge the status quo and embrace new approaches.
Nice to Have
• Driver license
• Involvement in startup environments or a demonstrated willingness to thrive in a
fast-paced, entrepreneurial setting