About Us: At Bot Auto, we build autonomous trucks to transform the way goods are transported and improve the quality of life for communities worldwide. With a start-up spirit yet long established experience, Bot Auto has the most seasoned team that has delivered several world's first and world's only. Together, we share vision, we see and build miracles and we drive the future of transportation. Join us and turn your dream into something RUNNING.
About the role:
Job Overview: We are seeking a highly skilled and motivated Senior Software Engineer to design, build, and evolve our hybrid-Cloud data plane. The ideal candidate will be a strong hands-on coder and has foundational skills in large scale data storage systems as well as data extraction & transformation pipelines and core & analytical data management. This is a rare (and fun!) opportunity to help shape the future of AI and transportation.
What we're looking for: Proven track record of python production-level development (at least 3+ years). Strong background in building modern data infrastructure including data lake (such as S3, delta lake & databricks, AWS Lake formation, Glue Catalog and etc), distributed computing framework (Spark, Presto & Athena and etc), and Business Intelligence Infrastructure (Tableau, Looker, Superset and etc) Strong background in data engineering & data mining including data modeling, data warehouse, pipeline, reporting tools, and analytics. Experienced in Full-stack development, e.g. React, Flask. Experienced in managing core data store (such as relational database and document store) Familiarity with data privacy and security. Familiarity with data retention and cost control. Familiarity with cloud infrastructure, e.g. AWS, GCP, K8s, Iac. Nice to have experience with streaming data pipeline, e.g. Kafka, Kinesis. Nice to have experience developing with C++. Ability to adapt quickly to emerging technologies.
What you'll do: Design and implement data infrastructure including data lakehouse systems such as S3, Datalake, Data Catalog, as well as common data formats such as Parquet, Avro, JSON, and more. Create a robust data collection pipeline to seamlessly transfer substantial data from autonomous systems to both on-premises data centers and cloud environments. Work with the infrastructure team to deploy and manage the data platform across hybrid cloud solutions using cloud native compute services as well as on premise data centers. Manage core Data storage, including Relational Databases, NoSQL databases, and Realtime DB. Engage in full-stack projects such as data platforms and Human-Machine Interfaces (HMIs) using a variety of technologies like Python, Node.js, React, and TypeScript. Architect container jobs and establish end-to-end workflows using Kubernetes (K8s) and distributed computing for efficient data processing and transformation. Develop a versatile data serving Software Development Kit (SDK) and API server (using either C++ or Python) to support training and simulation jobs.
Other Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. Strong problem-solving skills and attention to detail. Excellent communication and collaboration abilities. Ability to work in a fast-paced, dynamic environment.
Benefits: Competitive salary. Health, dental, and vision insurance. Flexible working hours. Opportunities for career advancement. Access to cutting-edge technology and learning opportunities. If you are passionate about autonomous technology, enjoy working in a collaborative environment, and are eager to contribute to the future of freight transportation, we invite you to join our dynamic team, and to be part of an exciting journey at the forefront of innovation in the Autonomous Driving industry.