Description

You will develop embedded software from the application layer down to the hardware level, integrating machine learning capabilities and APIs into constrained systems.

This role is on-site.

Responsibilities

• Design and implement software requirements for QA environments, ensuring robust integration of microservices and cloud infrastructure.
• Integrate machine learning components and APIs into embedded systems, applying design thinking within the agile lifecycle.
• Conduct code reviews, quality assurance, and develop automated tests to maintain high code quality.
• Utilize cloud computing and microservice architectures for system integration, leveraging AWS and Kubernetes.
• Apply error analysis, performance profiling, and troubleshooting techniques to optimize system stability.

Required Skills

• Minimum 3 years of experience in embedded systems software development.
• Proficiency in modern C++ and the Standard Template Library (STL).
• Minimum 3 years of experience with Linux/Unix operating systems and shell scripting.
• Hands-on experience with CI/CD environments using GitLab and Jenkins.
• Experience with microservice architectures and middleware infrastructures.
• Familiarity with network protocols and software development in network contexts.
• Knowledge of messaging systems such as Apache Kafka or RabbitMQ.
• Experience with cloud-based infrastructures including AWS and Kubernetes.

Preferred Skills

• Experience using Kibana and Grafana for monitoring and observability.
• Practical application of SCRUM methodologies.

Key Skills

Education

Any Graduate