As a Frontend Engineer, you will play a key role in building a high-performance, data-intensive web application that transforms complex automotive time-series data into intuitive, actionable insights.
The platform enables engineers and analysts to upload, process, validate, and explore vehicle signal data across a multi-step workflow—from ingestion to quality validation and visualization. Your work ensures that these workflows are reliable, responsive, and easy to use, even when handling large datasets and real-time updates.
Your primary responsibility is to design and implement scalable, maintainable frontend systems that integrate seamlessly with backend services and real-time pipelines. As the product grows in complexity, your expertise will be critical in maintaining performance, usability, and architectural consistency.
Your Role in More Detail
Frontend Architecture and Development
Data Visualization and User Workflows
State Management and Data Integration
Real-Time Data and Event Handling
Quality, Testing, and Maintainability
Collaboration
Documentation and Knowledge Sharing
About the Role
You will be working on a modern frontend stack built around React, TypeScript, and a strongly modular architecture. The application includes:
The environment emphasizes code quality, maintainability, and strong collaboration between frontend and backend teams.
Must Have
- Strong professional experience with React and modern frontend development.
- Expertise in TypeScript (strict mode, advanced types, generics).
- Experience with state management patterns and clear separation of client vs server state.
- Hands-on experience integrating REST APIs (e.g., with Axios).
- Solid understanding of component architecture and composition patterns.
- Experience with modern styling approaches such as Tailwind CSS.
- Testing experience with modern tools (Vitest/Jest + Testing Library).
- Familiarity with Git workflows and collaborative development.
Nice to Have
- Familiar with using Claude in software development workflows
- Experience with data visualization libraries such as Apache ECharts, D3, or similar.
- Experience with real-time systems using Socket.IO or WebSockets.
- Familiarity with containerized development using Docker.
- Experience with headless UI libraries such as Radix UI or Base UI.
- Knowledge of build tools like Vite.

COMPREDICT - The Virtual Sensor Company. At Compredict, we develop virtual sensors & intelligent algorithms that turn available vehicle signals into valuable insights. To achieve this, we combine deep data science know-how and automotive domain expertise.
Hardware Replacement:
Reduce BOM and complexity with our Virtual Sensors
1. Eliminate hardware sensors and wiring.
2. Avoid sensor failure from physical degradation.
3. Configure to any vehicle model with ease.
New SDV Capabilities:
Unlock business value from your SDV stack
1. Capitalize on the shift to powerful in-vehicle processing.
2. Easily incorporate embedded AI in Chassis and Powertrain domains.
3. Leverage your vehicle OS for new features.
Aftersales Business:
Generate additional revenues
1. Monitor wear, fatigue, and anomalies in real-time.
2. Use data-driven end-of-life forecasts for usage-based maintenance.
3. Boost customer loyalty with tailored maintenance plans and personalized offers for replacement parts.
We are backed by leading mobility VC and strategic investors such as Woven Capital, growth fund of Toyota and BlackBerry.
Visit our website at https://compredict.ai and https://virtualsensor.com/ for more information.