- Robot type
- Autonomous Vehicle
- Location
- Mountain ViewCaliforniaUSA
- Job type
- Software
- Posted
- Dec 23, 2025
- Salary
- $175,000–$215,000 a year
Senior Software Engineer, Configuration & Experiments
Job description
The Configurations team is dedicated to ensuring Waymo's cars drive with the desired features based on the car’s current state (location, driving mode etc). We are also responsible for managing release deployments to our fleet of cars.
The team works with different parts of the company to achieve its mission - other engineering teams to validate and roll out new features, release organization for managing qualifications and deployments, operations for ensuring stability of configurations and validating so that we don’t mistakenly drive with incorrect configurations and so on.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver.
Job responsibilities
- Design, implement, and maintain the large-scale backend services that deliver configurations and features to a large, real-world fleet of autonomous vehicles.
- Help build and evolve one or more mission-critical commercialization tools and systems as we scale and serve new markets.
- Collaborate with Product, Ops, Data Science, and other teams to develop systems as our needs grow and evolve
- Implement robust configuration rollout processes to manage the complexity of updating the fleet of Waymo vehicles as we scale up and deploy in new markets.
- Enable launching new features in a safe way - evaluation, A/B testing, gradual rollouts.
Job requirements
- 5+ years of professional software engineering experience.
- 3+ years of experience working on large-scale distributed systems.
- Proven track record of driving collaboration effectively across organizational boundaries and the ability to partner across organizational boundaries to optimize workflows and drive strategic alignment.
- Strong ability to document technical designs, processes, and communicate clearly with cross-functional teams.
- A commitment to system safety and reliability, with experience in developing mechanisms to detect and prevent the impact of configuration or software failures in a high-stakes environment.
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