Embedded Linux Engineer
Technical skills
- Embedded Linux development.
- Linux distributions and build systems (Yocto, Buildroot).
- C and C++ programming.
- Linux kernel architecture and driver development.
- Board Support Package (BSP) development and customization.
- Cross-compilation, debugging, and profiling tools.
- Embedded hardware architectures and system integration.
- Communication protocols (UART, SPI, I2C, CAN, Ethernet, USB).
- Software testing, validation, and troubleshooting.
- CI/CD practices and version control systems (Git).
Soft skills
- Strong analytical and problem-solving skills.
- Attention to detail and technical rigor.
- Curiosity and continuous learning mindset.
- Effective communication skills.
- Teamwork and cross-functional collaboration.
- Autonomy and adaptability.
- Ability to work in complex and fast-paced technical environments.
The Embedded Linux Engineer develops, integrates, and optimizes Linux-based software solutions for embedded systems. Working at the intersection of hardware and software, they ensure the reliability, performance, and scalability of embedded platforms used in industries such as IoT, transportation, energy, telecommunications, and industrial automation.
Main activities
- Design, develop, and maintain embedded Linux software solutions.
- Customize and configure Linux distributions for target hardware platforms.
- Develop low-level software components using C and C++.
- Integrate and maintain Linux kernel modules, drivers, and Board Support Packages (BSPs).
- Optimize system performance, boot times, memory usage, and power consumption.
- Perform debugging, testing, validation, and troubleshooting activities.
- Support software integration on embedded hardware platforms.
- Collaborate with hardware, firmware, and software teams throughout the development lifecycle.
Application form
Our Other job offers
The Finance Business Analyst acts as a bridge between business stakeholders and technology teams, ensuring that financial processes, systems, and reporting solutions align with organizational objectives. They analyze business needs, identify improvement opportunities, and support the implementation of solutions that enhance financial performance, operational efficiency, and regulatory compliance.
Main activities
- Gather, analyze, and document business and financial requirements.
- Collaborate with finance, accounting, risk, and IT teams to define functional solutions.
- Analyze financial processes and identify opportunities for optimization and automation.
- Produce functional specifications, process maps, and business documentation.
- Support the implementation, enhancement, and integration of financial systems.
- Participate in testing, validation, and user acceptance activities.
- Monitor project progress and ensure alignment with business objectives.
- Provide support and training to end users during system deployments and process changes.
The Data Analyst collects, analyzes, and interprets data to help organizations make informed business decisions. They transform raw data into clear insights, dashboards, and reports, enabling teams to monitor performance, identify trends, and improve operational and strategic decision-making.
Main activities
- Collect, clean, and structure data from multiple sources.
- Analyze datasets to identify trends, patterns, and business insights.
- Build dashboards, reports, and visualizations for business stakeholders.
- Define and monitor key performance indicators.
- Translate business questions into data analyses and actionable recommendations.
- Ensure data quality, consistency, and reliability.
- Present insights clearly to technical and non-technical audiences.
- Collaborate with business, product, data, and IT teams.
The Data Engineer designs, builds, and maintains scalable data architectures that enable organizations to collect, process, store, and analyze large volumes of data. They ensure the availability, reliability, and quality of data across the organization, providing the foundation for business intelligence, analytics, artificial intelligence, and data-driven decision-making.
Main activities
- Design, develop, and maintain data pipelines and ETL/ELT processes.
- Build and optimize data warehouses, data lakes, and data platforms.
- Integrate data from multiple internal and external sources.
- Ensure data quality, consistency, and governance across systems.
- Monitor and optimize data processing performance and scalability.
- Collaborate with Data Analysts, Data Scientists, Product Owners, and business stakeholders.
- Implement data security, compliance, and access management best practices.
- Support cloud migration and modernization initiatives within data ecosystems.
- Troubleshoot data-related issues and contribute to continuous platform improvements.
Your next opportunity starts here
