Software Engineer - Tools & Automation
TLDR
Collaborate cross-functionally to build and maintain AI-powered tools for diagnosing technical issues in autonomous vehicle systems while ensuring robust performance and reliability.
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Design and implement agentic AI systems with structured interfaces, reasoning loops, and robust error handling
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Build and maintain data pipelines, scheduled workflows, and benchmarking infrastructure
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Develop evaluation and scoring systems to measure and continuously improve model output quality
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Integrate the platform with internal and external services, including ticketing, messaging, storage, and observability
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Collaborate with cross-functional teams to translate business requirements into technical AI solutions
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Architect and maintain production-grade AI solutions with focus on scalability, reliability, and performance
SW development, Strong Python with applications in AL/ML
Familiarity with AI agents and their applications, including prompt design, tool calling, context management, and evaluation
Experience or strong interest in Data Science and Engineering
Experience or strong interest in creating Analytical or AI/ML-based models for real-world problems
Strong problem-solving skills, especially in simplifying and modelling real-world problems
Familiarity with major LLM providers (OpenAI, Anthropic, Google, Meta, etc.) and understanding of their trade-offs in terms of performance, cost, latency, and capabilities
Experience integrating AI capabilities into applications or eagerness to learn application development
Full-stack development experience with both backend and frontend technologies
Zoox is building a fully autonomous vehicle fleet from the ground up, coupled with the ecosystem necessary to launch this technology into urban environments. By integrating robotics, machine learning, and innovative design, Zoox is paving the way for a new era of mobility-as-a-service.
- Founded
- Founded 2014
- Employees
- 500+ employees
- Industry
- Automotive
- Total raised
- $990M raised