Embedded Tools & Infra Engineer - AI-Driven DevOps

Sonova; Warszawa; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Flexible hybrid work

Training programs

Development plans

Job summary

Sonova in Warsaw is seeking a Software Engineer for Tools and Infrastructure in a scaled agile, international environment. You will develop tools for building, testing, and releasing firmware across Sonova's medical hearing health care products.

You will design, implement, integrate, and maintain software development tools, leverage AI-assisted engineering, and collaborate across teams to enable faster, higher-quality software delivery.

Qualifications

• University degree in computer science or related technical field.
• 5+ years in embedded software development and maintenance.
• Experience with AI-assisted software development tools or willingness to adopt.
• Ability to critically evaluate generated code and solutions.
• Collaborative team player with a service mindset.
• Fluent English for international collaboration.

Responsibilities

• Design, implement, integrate, document and maintain the software development tools for embedded firmware.
• Leverage AI-assisted tools to accelerate analysis, implementation, testing, documentation, debugging and maintenance.
• Collect and refine requirements for design and implementation.
• Support communication and collaboration among tool developers and users.
• Contribute to design reviews and guidelines.
• Contribute to architectural qualities for modularity and extensibility.

Skills

Python

Matlab

Simulink

C

C++ (CMake & Conan)

Docker

CI/CD

Azure

GitHub Actions

English communication

Education

MSc/BSc in Computer Science or related field

Tools

Docker

CMake

Conan

Job description

Sonova in Warsaw is seeking a Software Engineer for Tools and Infrastructure in a scaled agile, international environment. You will develop tools for building, testing, and releasing firmware across Sonova's medical hearing health care products.

You will design, implement, integrate, and maintain software development tools, leverage AI-assisted engineering, and collaborate across teams to enable faster, higher-quality software delivery.