✨ About The Role
- Design and develop a metric platform for the Perception component of the autonomous driving stack
- Work closely with data engineers, data scientists, and software engineers to build a scalable and high-performance platform for evaluating models across petabytes of multimodal data
- Develop frontends, APIs, and microservices using technologies such as Python, Plotly Dash, GRPC, Postgres, ElasticSearch, Redis, Kafka, Kubernetes, and AWS
- Monitor and optimize performance of metrics calculations and query access to ensure high availability, scalability, and reliability for mission-critical autonomous driving technology
- Collaborate with cross-functional teams to understand business requirements and design a scalable and efficient metrics platform for perception engineers
âš¡ Requirements
- Experienced Full Stack Engineer with a background in designing and developing metric platforms for autonomous driving systems
- Skilled in collaborating with cross-functional teams including data engineers, data scientists, and software engineers to build scalable and high-performance platforms
- Proficient in modern web frameworks, Python API frameworks, and backend Python code to ensure efficient generation of insights for autonomous driving perception and machine learning models
- Strong communication and collaboration skills to work effectively in a team environment
- Bachelor's or Master's degree in Computer Science, Engineering, or related field with at least 5 years of experience in software engineering and front-end application development