5 months ago
Base Salary
$213k - $263k/yr
Responsibilities
- Develop multi-agent frameworks and tools for faster code writing and testing through spec-driven development and context-aware code generation.
- Design and deploy agentic workflows for complex engineering tasks such as root cause analysis and automated triage.
- Create specialized agents for debugging perception issues in real-world and simulated driving.
- Develop data pipelines and evaluation strategies to deploy LLMs and agentic solutions into production.
- Partner with engineering teams across Waymo to understand workflows and drive adoption of DevAI tools.
Requirements
- Hands-on experience building and deploying multi-agent frameworks and agentic AI systems.
- Deep understanding of modern software development lifecycles and improving developer velocity.
- Proven experience using spec-driven development methodologies.
- Strong expertise with Large Language Models, including prompt engineering and Retrieval-Augmented Generation.
- Proficiency architecting and delivering complex, large-scale software systems.
- At least 5 years of software development experience.
- Preferred experience in robotics, autonomous vehicles, or other safety-critical systems.
- Preferred experience with data engineering for large-scale ML model training, especially domain-specific code datasets.
- A Master’s or PhD in Computer Science or a related field focused on AI/ML is preferred.
Benefits
- Hybrid work schedule
- Eligibility for discretionary annual bonus program, equity incentive plan, and company benefits program
Categories
About Waymo
Waymo develops the Waymo Driver, a full-stack autonomous driving system, and operates the Waymo One robotaxi service that offers paid, driverless rides in select U.S. cities. The company monetizes through ride-hailing fares and partnerships integrating its technology on multiple vehicle platforms. Founded in 2009 as Google’s self-driving project, Waymo is headquartered in Mountain View and is an Alphabet subsidiary, with over 10 million rider-only trips and 100+ million autonomous miles on public roads.