• Spearhead efforts for the Perception subsystem of our autonomy stack • Close the safety case for the perception subsystem • Collaborate with autonomy and systems engineers to establish problem taxonomies and identify critical performance covariates • Influence requirements from the perspective of problem understanding, covariate coverage, and testing capabilities/challenges • Validate the test strategy and provide early feedback to developers • Create and automate reporting dashboards • Be a bridge between Perception and the Systems Readiness and Performance organization • Advocate for and adopt common processes, technology, and terminology

• Assist in developing, testing, and maintaining software applications based on project requirements • Write clean, efficient, and well-documented code under the guidance of senior developers • Troubleshoot software issues, debug errors, and support system improvements • Collaborate with cross-functional teams to understand user requirements and implement solutions • Participate in code reviews, software testing, and deployment activities • Maintain technical documentation and ensure applications meet performance and security standards

• Design, develop, and deploy end-to-end product features across the full technology stack, including frontend interfaces, backend services, APIs, and AI-powered functionality. • Architect and maintain scalable, secure backend systems and data models for a multi-tenant SaaS environment. • Integrate and operate LLM-based features such as streaming outputs, structured outputs, tool and function calling, retrieval-augmented generation, and multi-step agents in production systems. • Leverage Claude and contribute to agent orchestration processes that improve product capability and development efficiency. • Evaluate and adopt emerging AI tools, frameworks, and evaluation methods to improve team productivity and product performance. • Collaborate directly with customers and stakeholders to gather feedback, validate features, and help inform roadmap decisions. • Implement observability, monitoring, and logging to diagnose issues and debug systems using telemetry and production data. • Establish and maintain testing strategies, including evaluation frameworks for non-deterministic AI outputs. • Document system architecture, APIs, and engineering practices to support maintainability and team scalability. • Ensure compliance with security, privacy, and regulatory requirements in a multi-tenant SaaS and AI-driven environment. • Partner cross-functionally with teams such as product and design to align technical solutions with user needs and experience goals. • Use agentic coding tools as a primary development workflow and help shape the team’s approach to agent orchestration in software development. • Perform other duties as assigned by leadership.

• Design, develop, and deploy end-to-end product features across the full stack, including frontend interfaces, backend services, APIs, and AI-enabled functionality. • Build and maintain scalable backend services and data models that support a multi-tenant SaaS application. • Integrate LLM-based features into product workflows with attention to cost, latency, and reliability in production environments. • Use agentic coding tools such as Claude Code, Cursor, or similar solutions as part of the development workflow and help improve engineering practices. • Evaluate emerging AI and software development tools and recommend practical improvements where they can add value. • Partner with product, design, and other cross-functional teammates to deliver features aligned to user needs and product goals. • Use customer feedback to refine features, identify issues, and guide continuous product improvement. • Implement logging, monitoring, and observability practices to troubleshoot issues using production data and system metrics. • Develop and maintain test coverage, including basic evaluation methods for AI-driven features to support reliability and accuracy. • Document system components, APIs, and development workflows to improve maintainability and knowledge sharing.