Sr. Engineer - Data Platform - Autonomous Driving

• MS or PHD in Computer Science, Electrical Engineering, Computer Engineering or related field
• Industry experience designing and implementing scalable solutions used for Autonomous Driving R&D applications
• Experience managing, deploying, and maintaining large-scale infrastructure on the cloud for "Big Data" applications
• Familiarity with machine learning frameworks (e.g. Tensorflow, PyTorch)
• Hands-on experience using Docker and Kubernetes
• Experience using infrastructure and configuration management tools such as Terraform, Ansible, and Helm
• Experience with workflow management tools such as Airflow, Prefect, etc.

Ideal Candidate will have:

• 3-7 years of relevant experience in a software development role (or equivalent)
• Backend development experience with a focus on data management, distributed systems, ML/AI, and high performance compute applications
• Familiarity using a programming language such as Python, Go, C/C++, Java, or Scala
• Hands-on experience using managed services from one or more of the major cloud vendors: AWS, GCP, Azure
• Experience working with distributed processing frameworks such as Spark, Hadoop, Hive, or other Apache Foundation frameworks
• Understanding of RDBMS, NoSQL DB technologies, and data warehousing solutions and tradeoffs
• Experience building RESTful web APIs and services
• Proficiency with common software engineering tools, CI/CD, and version control systems such as git, GitLab CI/CD, Jenkins, Python virtual environments, etc.
• Strong interpersonal skills and demonstrated ability to work with multi-functional teams
• Excellent communication skills

Level of Responsibility:

• Work with team leads to understand use cases and requirements
• Build proof-of-concepts to validate proposed designs and provide feedback
• Implement data management systems, data pipelines, and highly scalable distributed processing services used for autonomous driving research and development
• Deploy, manage, and support large-scale infrastructure on the cloud and on-premise
• Drive software engineering best practices within immediate and external teams