11 hours ago

AI Developer Productivity Engineer

Zoox

On Site
Full Time
$220,000
Foster City, CA

Job Overview

Job TitleAI Developer Productivity Engineer
Job TypeFull Time
Offered Salary$220,000
LocationFoster City, CA

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Job Description

AI Developer Productivity Engineer at Zoox

Zoox is dedicated to developing state-of-the-art autonomous vehicle software for our purpose-built vehicle. We believe that an end-to-end product development approach accelerates market entry and results in a superior customer experience.

The Developer Experience team at Zoox is focused on enhancing the process of developing autonomy software, services, and applications. We establish and enforce engineering best practices across the company. Our strategy involves utilizing established programming languages and tools, and creating our own when necessary. We are actively leveraging Large Language Models (LLMs) to significantly boost development velocity and streamline engineering workflows. We are seeking an engineer with hands-on full-stack development experience, who understands large-scale engineering challenges and is adept at designing and implementing effective solutions.

In This Role, You Will

  • Architect and implement LLM-powered solutions, utilizing both commercial providers like AWS Bedrock and open-source models such as Llama.
  • Build tools designed to achieve a 10x improvement in engineer productivity through intelligent code assistance, automated code review, and context-aware documentation generation.
  • Develop systems to automate routine development tasks, including boilerplate generation, test creation, and code refactoring.
  • Create intelligent workflows that harness LLMs for bug detection, security vulnerability assessment, and code optimization.
  • Bridge the gap between developers' needs and infrastructure solutions, while establishing best practices for responsible AI integration within our development pipeline.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field with 3+ years of industry experience.
  • Solid experience as a full-stack or backend developer, demonstrating 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.

About Zoox

Zoox is pioneering the development of the first ground-up, fully autonomous vehicle fleet and the essential ecosystem to bring this technology to market. Operating at the convergence of robotics, machine learning, and design, Zoox aims to deliver the next generation of mobility-as-a-service in urban environments. We are looking for exceptional talent who share our passion and desire to be part of a fast-moving, highly execution-oriented team.

Key skills/competency

  • Large Language Models (LLMs)
  • Developer Productivity
  • Full-Stack Development
  • System Design
  • Python/C++
  • Automated Code Review
  • Vector Databases
  • AI Integration
  • Performance Optimization
  • Autonomous Vehicles

Tags:

AI Developer Productivity Engineer
LLM
developer productivity
code assistance
automated review
documentation generation
task automation
bug detection
security assessment
AI integration
Python
C++
AWS Bedrock
Llama
embedding models
vector databases
system design
data structures
algorithms
IDEs

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How to Get Hired at Zoox

  • Research Zoox's autonomous vision: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on their innovative approach to mobility.
  • Showcase LLM and full-stack expertise: Tailor your resume to highlight experience in LLM-powered solutions, developer productivity tools, and full-stack or backend development.
  • Prepare for technical depth: Be ready to discuss system design, data structures, algorithms, and practical applications of Python or C++ in a large-scale engineering context.
  • Demonstrate impact and problem-solving: During interviews, articulate how your past projects have improved engineering workflows or solved complex developer challenges.
  • Emphasize responsible AI: Discuss your understanding of ethical AI integration and best practices for leveraging AI in a development pipeline.

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