About the job
Join us as a Senior Software Engineer, where you will be integral in crafting and deploying automated workflows, advanced tooling, and insightful analytics to enhance our autonomy stack's scalability. You will be essential in transforming vast datasets into actionable engineering insights, ensuring our software releases are robust, validated, and road-ready.
Your Responsibilities:
- Create Intelligent Tooling: Design and implement advanced automation to analyze and clarify complex system behaviors, utilizing sophisticated data modeling to expedite solutions.
- Lead Analytics Development: Spearhead the creation of impactful performance visualization tools that convert raw metrics into clear, actionable insights regarding on-road performance.
- Enhance Release Engineering: Use your expertise to refine our release processes, moving towards a highly automated deployment framework that preserves quality while boosting efficiency.
- Advance Simulation Capabilities: Elevate our virtual testing environments, ensuring our simulation suites deliver high-fidelity feedback for comprehensive release understanding.
- Collaborate Across Teams: Engage within a large, multi-disciplinary codebase to guarantee seamless integration across planning, motion, and controls teams.
Qualifications We're Seeking:
- Significant experience in developing production-grade applications, tools, and pipelines using Python.
- Proficient in navigating and contributing to large, complex codebases with an emphasis on modularity and documentation.
- Demonstrated success in delivering software in a production environment, with knowledge of CI/CD, version control at scale, and stringent release cycles.
- A keen curiosity for data and the ability to derive meaningful patterns from complex, high-dimensional datasets.
- A strong passion for a driverless future and an understanding of the critical nature of deploying software that interacts with the physical world.
Bonus Skills (not mandatory):
- Experience with C++ in a Linux environment.
- Familiarity with Machine Learning frameworks or Large Language Model (LLM) integration.
- Background in robotics middleware (ROS, DDS) or autonomous systems.

