Senior Software Engineer - Autonomy Integrations

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. They are seeking a Senior Software Engineer to develop automated workflows and intelligent tooling, transforming data into actionable insights while ensuring robust software releases. The role involves collaborating within a multi-disciplinary codebase and advancing simulation capabilities.

Responsibilities:

• Develop Intelligent Tooling: You will design and implement sophisticated automation to categorize and explain complex system behaviors by leveraging advanced data modeling to accelerate solutions
• Drive Analytics: You’ll lead the creation of high-impact performance visualization tools that translate raw metrics into clear, actionable insights regarding on-road performance
• Streamline Release Engineering: Your expertise will help the team evolve our release processes, moving toward a highly automated deployment framework that maintains quality while improving efficiency
• Advance Simulation Capabilities: You’ll have the opportunity to enhance our virtual testing ecosystems, ensuring our simulation suites provide the high fidelity feedback necessary to properly understand the release
• Collaborate at Scale: Work within a large, multi-disciplinary codebase to ensure seamless integration between planning, motion, and controls teams

Requirements:

• Extensive experience building production-grade applications, tools, and pipelines using Python
• Comfortable navigating and contributing to large, complex codebases where modularity and documentation are key
• Proven track record of delivering software in a production environment, including familiarity with CI/CD, version control at scale, and rigorous release cycles
• Curious about data and possess the ability to extract meaningful patterns from noisy, high-dimensional datasets
• Passionate about a driverless future and understand the high stakes of deploying software that interacts with the physical world
• 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