Software Engineer - Tools & Automation

As a Software Engineer and member of the Platform Stability team, you will help build, fine-tune, and maintain a novel AI-powered tool for diagnosing technical issues and identifying root causes. You will collaborate cross-functionally to gather requirements, develop AI/ML and analytical models, and drive data-driven insights — all as part of a high-performing team. About Zoox Zoox 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 Accommodations If 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. country: US all locations: [Foster City, CA] commitment: Full-time department: Software location: Foster City, CA team: Embedded Software & Systems Integration In this role, you will:: Design and implement agentic AI systems with structured interfaces, reasoning loops, and robust error handling Build and maintain data pipelines, scheduled workflows, and benchmarking infrastructure Develop evaluation and scoring systems to measure and continuously improve model output quality Integrate the platform with internal and external services, including ticketing, messaging, storage, and observability Collaborate with cross-functional teams to translate business requirements into technical AI solutions Architect and maintain production-grade AI solutions with focus on scalability, reliability, and performance Qualifications: BS in relevant engineering discipline and 4+ years of relevant work experience 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 Bonus Qualifications: 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