In this role, you will:
- Help scale a library of synthetic scenarios. This entails reading through requirements, breaking down complex functionality into modular and reusable components that need to be built, understanding how complex systems interact, and communicating in a clear and concise manner with the relevant teams.
- Find success by being a fast learner, having curiosity, focusing on results, developing intuition for prioritization, and learning to deal with ambiguity.
- Need to think at a systems-integration level, as well as dive into details to resolve specific low-level technical issues.
- Be highly cross-functional, so the ideal candidate should be able to understand how the various systems work at a high level and effectively communicate how our team’s systems work to cross-team technical and non-technical stakeholders.
- Be able to dive into large, complex systems that are already in place, as well as help design and build new systems or tools from scratch to enable automation and scale.
- Be responsible for helping to deliver mission-critical metrics to the executive team to drive major roadmap decisions. A key skill will be the ability to effectively balance short-term priorities with longer term improvements.
Qualifications:
- Fluency in Python
- Bachelor’s in computer science, applied mathematics, engineering, or other quantitative area
- At least 7 years of industry experience in systems engineering and/or software engineering
- Collaborative team player with strong written and in-person communication skills
Bonus Qualifications:
- Master’s or PhD Degree in a quantitative area
- Familiarity with autonomous vehicle systems
- Experience with quantitative analysis of complex systems, probability and statistics
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