Jobs at ETH juniors

Develop and maintain scalable Python backend services (FastAPI or Django), deploy and manage applications on Kubernetes, optimize CI/CD pipelines, integrate databases and messaging systems, and use AI tools to improve development efficiency and code quality.

Analyze existing Java Swing UI masks, rebuild ~300 masks using the Vaadin framework, ensure visual and functional parity, and collaborate with the internal development team to incorporate architecture feedback and maintain consistency.

Develop, validate, and improve an existing AI-driven crypto trading engine and build/optimize the platform GUI. Implement and refine AI trading logic and recommendation systems, ensure code quality, performance, and scalability, and iterate on the live proof-of-concept toward a full pilot.

Act as a technical partner for input management: configure software solutions, implement integrations (APIs, data mapping), support clients, and apply AI tools and prompt engineering to optimize processes and analyses.

Own and evolve the data infrastructure for a personalised AI health platform. Design reliable, secure, and scalable backend systems, APIs, and infrastructure; build data pipelines, data models, and ML-ready systems; integrate third-party APIs (wearables, genomics, diagnostics); collaborate with stem-cell research expertise to support AI systems.

Part-time Product Manager owning the product pipeline across internal dashboards, partner/client tools, and iOS/Android apps. Run sprint planning, prioritize backlog, coordinate with engineering, translate business needs into technical requirements, and keep roadmap and teams aligned.

Support day-to-day sourcing, logistics, and process coordination. Manage supplier communication, optimize workflows, and collaborate with stakeholders on operations, sustainability, and industrial processes in a fast-paced startup environment.

Analyze and fix compatibility issues for an existing Android app to ensure functionality on the latest Android versions. Stabilize, debug, refactor, and maintain the legacy mobile codebase, improve app architecture, and support API/backend integrations. Potentially assist with migration efforts from Xamarin to .NET MAUI.

Act as an on-site AI consultant driving enterprise-wide AI adoption: train employees, translate use cases into agent systems, evaluate deployment architectures, implement hands-on demos, and align roadmaps with the core AI team and Chief of Staff.

Build and scale ETL/ELT pipelines, design logical data models and an enterprise data model, implement automated data quality checks and lineage, write performant PySpark and SQL code, and collaborate with data scientists and business stakeholders to deliver reliable data products.

Design and implement FEM-based multiphysics simulation software for axial flux electric motors. Develop electromagnetic, thermal, structural, and fluid dynamics features, optimize performance and accuracy, and collaborate with the engineering team to support motor design and development.

Build and deploy AI-driven solutions for industrial operations: prototype features, implement customer deployments, translate deployment learnings into scalable product improvements, collaborate with engineers and stakeholders, and drive product strategy with founders.

Design and build cloud architectures and scalable software solutions, primarily using Go and Ruby on Rails. Implement infrastructure as code with Terraform, collaborate with DevOps and engineering teams, and optionally design and operate Kubernetes environments. Contract role with potential for permanent hire.

Build end-to-end product features for an AI-enabled health platform, integrating frontend, backend, and LLM-based AI systems. Work in a small project team with founders to design, implement, and refine features, emphasizing design sensibility and personalised health data integration.

Design, develop and maintain interactive Power BI dashboards and reports. Collaborate with stakeholders to translate business requirements into data-driven reporting solutions, optimize reporting processes, and ensure data quality. Perform data modeling, DAX and Power Query development, and SQL-based data extraction from relational databases.

Support the ERP lead to build reporting structures, design Power BI dashboards, analyze Jira support data, advise on data governance and reporting best practices, translate insights into business recommendations, and support survey or data-collection design.

Full‑stack investor role focused on sourcing and evaluating early-stage deals, networking with founders, conducting diligence and quantitative analysis, and supporting portfolio company work. Requires strong analytical ability, intellectual curiosity, autonomy, and fluency in English (and German for Berlin).

Map and digitalize manual processes (onboarding, compliance reporting, recurring tasks). Design and implement workflow automations within Microsoft 365 (Power Automate, Dynamics 365, SharePoint, Teams). Replace paper steps with digital solutions (e-signatures, automated forms), introduce supporting tools (call transcription/analysis), document processes, and enable the team to operate them independently to streamline compliance and reporting.

Build the technical foundation for a pilot data platform: analyze system landscape, design and implement ETL pipelines connecting planning, trading, forecasting and ERP systems, automate high-friction manual steps, embed tiered data classification and RBAC, validate outputs against live operations, document architecture and governance, and prepare a rollout template.

Build and scale ETL/ELT pipelines in Palantir Foundry, integrate data from various sources, model within the Foundry ontology, and write clean PySpark/Python and SQL to transform large datasets. Collaborate with data scientists, analysts, and business teams to deliver analytics-ready data products.