In this role, you will:
- Architect and implement LLM-powered solutions using both commercial providers like AWS bedrock and open-source models like (Llama)
- Build tools that aim to improve engineer productivity by 10x through intelligent code assistance, automated code review, and context-aware documentation generation
- Develop systems to automate mundane development tasks like boilerplate generation, test creation, and code refactoring
- Create intelligent workflows that leverage LLMs for bug detection, security vulnerability assessment, and code optimization
- Bridge the divide between developers' needs and infrastructure solutions while establishing best practices for responsible AI integration in our development pipeline
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field with 7+ years of industry experience.
- Solid experience as a full-stack or backend developer, showcasing a deep understanding of system design, data structures, and algorithms.
- Fluency in at least one of the following languages: Python or C++.
- Experience with LLM evaluation metrics and performance optimization
- Knowledge of using embedding models and vector databases
Bonus Qualifications:
- Experience working with IDEs and LSPs
- Experience developing and/or integrating debuggers with build systems
- Experience managing and optimizing large monolithic repositories, including build systems, version control workflows, and developer tooling
Top Skills
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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