At Motional, we are looking for a Staff Software Engineer to join our Engineering Enablement team. In this role, you will lead initiatives to drive developer productivity across the organization by defining and evolving our internal developer platform, services, and toolchains.

What You'll Do

Architect and lead the development of scalable services, CI/CD pipelines, build systems, toolchains and platforms that can support developer workflows.
Drive initiatives with engineering teams throughout the company to understand their needs, identify pain-points and drive initiatives to improve their development workflows.
Lead the development of a unified Developer Productivity dashboard that integrates signals from across the company to surface industry-standard KPIs such as DORA and DX Core 4.
Improve system reliability, performance, scalability, and observability across distributed systems by introducing new tools and/or building new features.
Monitor system performance and health, proactively identifying and resolving issues before they impact users.
Lead system architecture decisions and technical roadmaps.

What We're Looking For

Bachelor Degree in Computer Science, Engineering, or equivalent knowledge and work experience.
8+ years in Software Engineering or related roles with the past 2 years in a tech lead position.
Strong background in modern programming languages (our stack includes Python, Go, C++).
Experience with Unix-like environments, software, and toolchains.
Knowledge of CI/CD tools (e.g. GitLab CI, Jenkins), cloud platforms (e.g. AWS, GCP) & infrastructure as code (Terraform, CloudFormation).
Expertise in software development lifecycle including the ability to understand ambiguous goals and convert them into software requirements.
Strong communication and interpersonal skills and ability to thrive in a fast-paced, dynamic environment.

Nice to Have

Experience in the AV industry or robotics.
Deep expertise with monorepo software development tools and services (e.g. Bazel).
Previously been on on-call roster to support P1 & P0 systems.
Experience with AI/LLM integration, specifically building/extending Model Context Protocol (MCP) servers to enhance developer productivity and system automation.