• Build scalable mapping systems using crowdsourced perception data and multi-camera video collected from a vast number of vehicles • Develop 3D reconstruction, structure-from-motion, pose estimation, and multi-view geometry algorithms for large-scale road scene understanding • Build map fusion and change-detection methods that can handle noisy observations, dynamic scenes, imperfect localization, and global consistency constraints • Build C++ production systems and offline pipelines that transform fleet data into reliable map products used in self-driving and driver support technologies • Invent evaluation methods to measure map accuracy, freshness, coverage, consistency, and downstream autonomy impact • Develop visualization, debugging, and triage tools to understand reconstruction quality, map issues, localization errors, and fleet data gaps • Work closely with perception, localization, simulation, planning, and infrastructure teams to integrate crowdsourced maps into autonomous driving systems • Relentlessly improve the scale, fidelity, freshness, and reliability of maps built from real-world fleet data

• Lead-level frontend and mobile ownership • AI-first delivery • Architecture decisions • Design and own frontend and mobile application architecture across React, React Native, and Next.js • Make architecture decisions independently, focusing on scalability, maintainability, performance, and reliability • Build production-grade applications using TypeScript across web and mobile environments • Work with GraphQL APIs and define clean integration patterns across frontend, mobile, and API layers • Define scalable engineering patterns across React, React Native, Next.js, TypeScript, and GraphQL • Own application quality standards across architecture, code structure, testing, responsiveness, and developer experience • Define technical direction, not just implementation details • Set and enforce quality standards across AI-generated and manually written code • Ensure the performance, quality, and responsiveness of applications across web and mobile • Collaborate directly with clients to ensure smooth communication and strong understanding of requirements • Contribute to system design, performance strategy, testing strategy, and engineering productivity • Apply a basic understanding of native mobile development concepts in Kotlin/Java and Objective-C/Swift when working with React Native integrations, debugging, or platform-specific requirements

• Build reliable AI systems in production, including prompt/version management, evaluation and regression testing, monitoring for drift/quality, and cost performance optimization • Establish responsible AI practices for the team (privacy, data handling, model risk, human-in-the-loop workflows), and contribute to patterns/standards that scale across services • Defining architectural changes that can be implemented incrementally, while minimizing risk • Defining advancements in architecture that roll the software in the right direction • Collaborate with a variety of stakeholders to determine architectural priorities • Building, fixing, and improving code, especially high-value code • Training team members on basic practices, new techniques, and past mistakes • Helping the team to be able to build code with confidence

• Define the long-term technical vision and architecture for Docker's developer tooling platform spanning platform engineering, CI/CD, and AI-powered tools • Lead authoring of SDLC tenets in partnership with other principal engineers, Security, and Infrastructure and build the mechanisms those tenets bind to (design gates, code review gates, pipeline standards, visibility) • Establish architectural patterns, technical standards, and best practices across the developer tooling stack • Design highly available, scalable infrastructure for hosting developer tools, agents, and platform services • Drive technical decisions on tooling choices, provider strategies, build/deploy substrate, and agent orchestration frameworks • Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities • Architect and build Docker's internal developer platform, the self-service substrate enabling teams to scaffold, deploy, and operate services with minimal friction • Design and implement CI/CD and build infrastructure that supports Docker's SDLC tenets and GitOps deployment patterns • Establish reliability, security, and performance standards across developer tooling including SLOs, monitoring, incident response, and cost management • Design integration points between developer tools and existing infrastructure (CI/CD pipelines, observability platforms, deployment systems) • Evaluate emerging technologies across developer tooling, platform engineering, AI/LLM, and agent frameworks to inform Docker's technical strategy • Define and enforce the golden path, the concrete, left-to-right walkthrough of how Docker builds software, and identify where tooling closes gaps vs. where human process does • Drive technical standards for measuring developer tool effectiveness: adoption metrics, productivity gains, pipeline performance, and developer satisfaction • Lead cross-functional technical discussions influencing company-wide developer tooling architecture • Define technical approach for productizing successful internal developer tools into customer-facing offerings • Mentor senior and staff engineers on platform engineering, CI/CD patterns, design, and AI/LLM integration • Lead design reviews and technical decision-making across all developer tooling work • Foster culture of technical excellence, experimentation, and rapid prototyping within the Developer Tools team • Serve as primary technical contact and thought leader for developer tooling across Docker's engineering organization • Collaborate with platform teams (Infrastructure, Security, Agentic Platform, Supply Chain Security) to establish shared technical standards and integration patterns