Software Engineer - Tools & Automation

Zoox's Hardware Software Integration team is responsible for ensuring various hardware subsystems work reliably on our vehicle platform on a day-to-day basis. You will oversee the deployment of next-generation compute, sensor, and data networking systems for autonomous vehicles.

This role is essential and fundamental to the execution stage of Zoox's vehicle program, ensuring that hardware systems operate predictably at all times. You will also be responsible for supporting bring-up and manufacturing operations for the vehicle. You will have excellent communication skills and are excited about being the first responder to triage and debug difficult hardware-software integration issues.

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