Senior AI Developer Productivity Engineer
Listed by employer · Checked
Posting date unknown
- Work arrangement
- onsite
- Employment
- Full-time
- Stated compensation
- USD 180,000–276,000 per-year-salary
- Stated sponsorship
- Not stated
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Requirements
2 with evidence7 unclear or unstated- Remote policy
- onsite
“Provider workplace type: onsite”
From employer posting metadata - Minimum experience (years)
- 7
“Bachelor's or Master's degree in Computer Science, Engineering, or a related field with 7+ years of industry experience.”
See matched passage in original description ↓ - Employment type
- Full-time
- Compensation
- USD 180,000–276,000 per-year-salary
7 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Work authorization
- Not specified
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Original job description
Reading view uses normalized posting text so exact evidence excerpts can be highlighted.
Zoox is developing state-of-the-art autonomous vehicle software for our purpose-built vehicle. We believe that developing the end-to-end product will get us to market faster and result in a superior customer experience.
The Developer Experience team at Zoox is dedicated to improving the process of developing autonomy software, services, and applications. We define and enforce the best practices for engineering across the company. Our approach involves using established programming languages, and tools and, when necessary, developing our own. We're leveraging Large Language Models (LLMs) to improve development velocity and streamline engineering workflows. We're looking for an engineer with firsthand experience as a full-stack developer, who knows the engineering challenges at scale and feels comfortable designing and implementing solutions to address them.
In this role, you will:
Show less description
Architect and implement LLM-powered solutions using frontier models like Claude, Gemini, GPT.
Build tools that leverage AI and improve engineer productivity by 10x through intelligent code assistance, automated code review, and improving zoox’s operational efficiency.
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
About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Follow us on LinkedIn
AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
Original formatting and links
Zoox is developing state-of-the-art autonomous vehicle software for our purpose-built vehicle. We believe that developing the end-to-end product will get us to market faster and result in a superior customer experience.
The Developer Experience team at Zoox is dedicated to improving the process of developing autonomy software, services, and applications. We define and enforce the best practices for engineering across the company. Our approach involves using established programming languages, and tools and, when necessary, developing our own. We're leveraging Large Language Models (LLMs) to improve development velocity and streamline engineering workflows. We're looking for an engineer with firsthand experience as a full-stack developer, who knows the engineering challenges at scale and feels comfortable designing and implementing solutions to address them.
Architect and implement LLM-powered solutions using frontier models like Claude, Gemini, GPT.
Build tools that leverage AI and improve engineer productivity by 10x through intelligent code assistance, automated code review, and improving zoox’s operational efficiency.
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.
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
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 ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Follow us on LinkedIn
AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
In this role, you will:
Qualifications
Bonus Qualifications
Follow us on LinkedIn
AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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