✨ About The Role
- This role involves implementing simulation-powered data pipelines to assess autonomy performance and data coverage.
- The candidate will utilize classical robotics or machine learning algorithms to evaluate the onboard autonomy system's components.
- Development of user interfaces and data visualizations for machine learning and robotics engineers is a key responsibility.
- The position requires cross-functional collaboration with autonomy and infrastructure engineers to enhance evaluation frameworks.
- The role may involve working as a generalist, expert, or data pipeline specialist, depending on the candidate's skills.
⚡ Requirements
- The ideal candidate will have at least 4 years of software engineering experience, particularly with Python.
- Strong algorithmic skills and a proven track record of independent problem-solving are essential.
- The candidate should demonstrate the ability to lead technical projects from inception to completion.
- Excellent communication skills are necessary to facilitate effective collaboration across different teams.
- A proactive mindset is important, with a focus on overcoming challenges and achieving results.