• Designing systems that allow AI to participate directly in developer workflows • Building infrastructure that connects language models with the editor and developer tools • Developing context systems that help models reason about large codebases • Designing evaluation frameworks for AI-assisted development • Improving the reliability, latency, and cost efficiency of AI features • Working closely with editor and infrastructure engineers to ship ideas quickly • Pair programming with teammates to explore ideas and refine systems together

• Evolving the core systems that power editing, navigation, and large codebases • Improving Zed’s real-time collaboration infrastructure built on CRDTs • Designing editor data structures and indexes that update incrementally as code changes • Designing data structures and memory layouts that keep editor operations fast under large projects and continuous edits • Identifying and eliminating performance regressions across rendering, input handling, and editor state • Extending Zed across macOS, Linux, and Windows • Engineers regularly measure, profile, and improve the editor while maintaining strong testing discipline.

• You continuously expand the standard feature set of our MES platform as part of the team • You also deliver smart custom solutions for individual client projects • You enjoy diving into complex issues to control large processes and equipment • You master modern web stacks such as Go (Golang)/Vue.js and contemporary SOA architectures including a REST layer effortlessly • To communicate with intralogistics systems and devices, you use TCP, gRPC and corresponding message telegrams

• Work across the full lifecycle of features, from conception and design through service delivery. • Support testing activities, production deployments and provide ongoing support. • Implement unit, functional and performance tests following the team's guidelines. • Instrument applications to capture performance data, operational logs and metrics. • Troubleshoot technical issues such as bugs and incidents and perform the necessary analyses. • Adhere to the client's policies and processes, ensuring the quality and security of deliverables. • Collaborate with the team, maintaining clear communication and strong partnership.