R&D Senior Embedded Engineer

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This position reports to:

R&D Team Lead__

Your role and responsibilities

In this role you will develop embedded software for ABB Excitation Systems . You will also showcase your expertise by identifying, proposing, and implementing innovative solutions.

The work model for the role is: Hybrid #Linkedin_Hybrid

You will be mainly accountable for:

• Development of new and legacy embedded software for ABB Excitation projects in C++

• Dealing with internal and external resources

• Execute full software development life cycle (SDLC)

• Working as a part of an agile software development team

• Specification, implementation, test and documentation of object-oriented real-time embedded software

• Troubleshoot, debug and upgrade existing systems

• Collaborate with product and other software development teams

• Comply with project plans and industry standards

• Ensure software is updated with latest feature

Qualifications for the role:

• Proven work experience as a Software Engineer or Software Developer, minimum 5 years in C/C++

• Knowhow in DevOps/CICD, Git, Azure

• Team player and also able to work independently in a distributed, diverse collaboration environment

• Ability to document requirements and specifications

• Ability for fast learning

• BSc degree in Computer Science, Engineering or relevant field

• Fluent English, German as an asset

More about us:

The Energy Industries Division serves a wide range of industrial sectors, including hydrocarbons,

chemicals, pharmaceuticals, power generation and water. With its integrated solutions that automate, digitalize and electrify operations, the Division is committed to supporting traditional industries in their efforts to decarbonize. The Division also supports the development, integration and scaling up of new and renewable energy models. The Division’s goal is to help customers adapt and succeed in the rapidly changing global energy transition. Harnessing data, machine learning and artificial intelligence (AI), the Division brings over 50 years of domain expertise delivering solutions designed to improve energy, process and production efficiency, as well as reduce risk, operational cost and capital cost, while minimizing waste for customers, from project start-up and throughout the entire plant lifecycle.