As part of this position, you will work closely with experienced engineers to address intriguing and complex challenges within the ADAS/AD domain. Our team is actively gathering extensive data, amounting to Terabytes, to support autonomous driving operations. you will play a crucial role in developing and maintaining software solutions to process, manage, and analyze the vast amounts of data collected for our autonomous driving operations.

This role is on-site at Headquarters in Newark, Ca.

Role and Responsibilities

• Design, develop, and maintain software applications and tools for processing and managing large-scale datasets collected for autonomous driving, enabling a modular and scalable architecture.
• Develop efficient algorithms and data processing pipelines to preprocess, clean, and augment the collected data to support various machine learning tasks and ADAS system requirements.
• Implement effective strategies for managing, organizing, and optimizing large datasets related to sensors, ensuring efficient data access, retrieval, and storage while maintaining data integrity and operational efficiency in databases.
• Engage in cross-functional collaboration to unify and integrate data from diverse sources, including sensors, cameras, LiDAR, and GPS, into a cohesive and streamlined data pipeline.
• Develop tools and processes for data analysis and visualization to enable data-driven decision-making and enhance the understanding of ADAS performance.
• Apply data analytics techniques to gain insights from the collected data, identify patterns, and propose improvements to enhance the overall performance of the ADAS system.
• Maintain clear and comprehensive documentation of all algorithms, experiments, and development processes to facilitate knowledge sharing and future improvements.
• Utilize cloud computing platforms (such as AWS, Google Cloud, or Azure) to deploy and manage ADAS data-related services, ensuring high availability and scalability.

Required Qualifications:

• Bachelor in Computer Science / Engineering, Electrical Engineering
• 2 years of relevant software engineering experience is preferred.
• Strong proficiency in programming languages such as Python, Golang, C , or similar for algorithm development and implementation.
• Familiarity with developing microservices and understanding their role in building scalable and modular systems.
• Experience with deployment tools: Docker, Kubernetes, Pytest, AWS, SQL, Git, Linux etc.
• Ability to write clean, efficient, and maintainable code along with version control practices using tools like Git.
• Exhibits strong analytical and problem-solving skills to adeptly tackle complex ADAS data challenges.
• Proven expertise in managing and handling extensive datasets. In-depth understanding of database design and query optimization.
• Demonstrated ability to approach complex problems creatively and independently, propose innovative solutions, and adapt to changing requirements.
• Understanding of software development methodologies and agile development practices.
• Ability to work collaboratively within a team environment, communicate effectively, and actively contribute to achieving team goals.

Preferred Qualifications:

• MS in Computer Science / Engineering, Electrical Engineering
• Familiarity with ADAS principles, sensor technologies, and autonomous driving concepts will be considered a plus.