In this role, you will:

• Develop frontends, APIs, and microservices using technologies such as Python, Plotly Dash, GRPC, Postgres, ElasticSearch, Redis, Kafka, Kubernetes, and AWS, that data scientists and ML engineers can use to effectively generate insights into the performance of autonomous driving perception and machine learning models.
• Monitor and optimize the performance of metrics calculations and metrics query access to ensure high availability, scalability, and reliability, to support the development of mission-critical autonomous driving technology.
• Collaborate with ML engineers, software engineers, data engineers, and data scientists to understand business requirements and design a scalable and efficient metrics platform that enables perception engineers to build their own metrics and abstracts the complexity of the platform.
• Integrate the metrics platform into the organization’s CI/CD pipeline, to ensure that metrics are tracked and analyzed throughout the development lifecycle.
• Develop frameworks and processes for the metrics lifecycle, including: designing metrics, efficiently implementing metric calculations, comparison and traceability of metrics over time, visualization of metrics and insight.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in software engineering and front-end application development.
• Experience designing and building modern data-intensive applications such as data warehouses that query and visualize data at a large scale.
• Experience with modern web frameworks (e.g. react, angular, vue), python API frameworks (e.g. FastAPI, Django), and writing high-quality backend Python code.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

Bonus Qualifications

• Experience with model evaluation and metric frameworks for autonomous driving or machine learning applications.
• Experience with modern data processing technologies such as Apache Spark, Apache Kafka, and Databricks.
• Experience with Dash Plotly or related frontend frameworks for data visualization