In this role, you will- 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.
Required Qualifications- 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.
Desirable Qualifications- 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.
The base salary range for this position is $126,000-$201,000 per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.
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We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.