- We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
- Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Design and optimize distributed evaluation execution engines to orchestrate large volumes of inference steps across TPU and GCU pools with high throughput and low latency.
Build foundational abstractions for evaluating complex LLM agent loops, tool use, and automated LLM-as-a-judge rating systems.
Design robust error classification, automated retry policies, and observability dashboards to maintain strict SLOs for evaluation pipeline success rates.
Partner closely with GDM research scientists and data science teams to anticipate frontier model evaluation requirements and translate them into scalable infrastructure solutions.
Mentor fellow engineers, set high standards for code quality (Python in Google3), and advocate rigorous testing and system design practices.
Minimum qualifications
Bachelor's degree in Computer Science, Software Engineering, Mathematics, or a related STEM field, or equivalent practical experience.
5 years of experience coding in one or more general purpose languages (e.g., Python, Java, C or C++).
5 years of experience designing and launching large-scale production software products or foundation AI systems.
4 years of experience in software development.
3 years of experience leading software design and system architecture for high-throughput distributed systems, foundation model runtimes, or client applications.
Preferred qualifications
Master's degree or PhD in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
5 years of experience in a technical leadership role setting technical direction and guiding project teams.
3 years of experience driving complex cross-functional initiatives across research, engineering, product management, and UX design in complex matrixed environments.
Experience developing, evaluating, or serving large language models, agentic workflows, multimodal pipelines, or AI runtime APIs (e.g., PyTorch, JAX, Triton, vLLM, Gemini API).
Bachelor's degree in Computer Science, Software Engineering, Mathematics, or a related STEM field, or equivalent practical experience.
5 years of experience coding in one or more general purpose languages (e.g., Python, Java, C or C++).
5 years of experience designing and launching large-scale production software products or foundation AI systems.
4 years of experience in software development.
3 years of experience leading software design and system architecture for high-throughput distributed systems, foundation model runtimes, or client applications.
