Software Engineer II, Pipeline Automation & Acceleration

Aurora Innovation•Pittsburgh, PA

3h•$126,000 - $201,000•Hybrid

About The Position

Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Software Engineer II, Pipeline Automation & Acceleration.

Requirements

Experience with cloud automation, data and test automation
Experience with modern programming languages such as Python or C++
Experience with developing in a Linux or Unix environment.
Experience with cloud offerings such as AWS or GCP.
Experience with cloud storages such as S3, Postgres and Redis.

Nice To Haves

Experience in Self Driving / Autonomy Driving.
Experience in Robotics / Mappings / Motion Planning is a plus.
Experience in Distributed Systems and Concurrency.
Experience in Scaling Data Pipelines through Observability and Traceability.
Experience in Event Queues such as Kafka, SQS or SNS.
Experience in Cloud Security Concepts such as JWT and mTLS.

Responsibilities

Design, develop, and validate onboard and off-board autonomy software.
Develop tools for increasing the development speed of building and evaluating autonomy software.
Develop tools for introspection, visualization, and performance analysis.
Improve the performance of autonomy systems through architectural and algorithmic optimizations
Collaborate with stakeholders including Autonomy Engineers, Test Engineers, Product, Cloud Platform and Safety to ensure timely delivery of validation data set.