AI/ML Software Principal Engineer

Job Description Summary

Tätigkeiten, die darauf abzielen, durch Anwendung wissenschaftlicher und technischer Methoden zu beweisen, dass ein Konzept gültig oder technisch machbar ist. Die Arbeit in dieser Familie hat in der Regel das Ziel, die Leistung und das Umsetzungspotenzial eines Konzepts durch Tests zu belegen oder zu analysieren.

Beeinträchtigt die Fähigkeit des Teams, Service, Qualität und Aktualität der Ziele zu erreichen.Die Rolle unterliegt operativen Richtlinienzielen.Innerhalb der Rolle besteht eine moderate Autonomie.Um die gewünschten Ergebnisse zu erzielen, ist ein hohes Maß an operativem Urteilsvermögen erforderlich.

Job Description

Roles & Responsibilities

• Lead the end-to-end product development lifecycle for industrial software solutions, from concept to deployment, ensuring alignment with customer requirements and operational constraints.
• Define and oversee software architecture for complex industrial environments, guaranteeing reliability, scalability, and compliance with industry standards.
• Collaborate cross-functionally with engineering, product management, and commercial teams to deliver solutions that meet internal and external customer expectations.
• Integrate AI/ML capabilities at a conceptual level, ensuring the team understands and applies relevant algorithms where appropriate with safety-by-design, and work with data scientists.
• Act as a technical leader, providing strategic direction and mentoring team members.

• Support Consulting Engineers in business line technology strategy definition and Multi-Generational Product Plan (MGPP).
• Chair Design reviews for individual components, sub-assemblies and key engineering deliverables at tendering and contract execution stages. Support Consulting Engineers in governance and trainings to reinforce proper execution of design review guidelines.
• Identify, develop, evaluate, and introduce engineering solutions to create market winning proposals in anticipation of business product needs. Provide key technical direction to large projects during contract execution phase.
• Provide technical consultation on product problems throughout the business including supplier and field support and perform technical rescues when needed.
• Participate Patent Evaluation Board (PEB) to protect technology that gives the business a competitive advantage, as well as protecting the intellectual property rights of the company.
• Represent the business externally at conferences or in professional working bodies (IEC, CIGRE etc) and maintain active relationship with relevant academic institutions to promote research projects and other academic cooperations.
• Provide ad-hoc technical guidance to the Engineering/Technology management team as required, e.g., joining customer negotiations or supplier audits.

• Support Consulting Engineers to safeguard design qualities. Organize lessons-learnt in one's own domain and make sure they are well documented and communicated throughout the organization to prevent repeated mistakes.
• Maintain an active role in product introduction, cost improvements, schedule adherence and problem resolution to meet business needs.
• Provide technical consultation to cross-functional teams within the business to improve or resolve manufacturing, supply, or field issues.

• Develop technical competencies by establishing and delivering structured technical training schemes within one's own business lines.
• Support Consulting Engineers in reviewing Engineering competency frameworks specific to one's own business line.

• Actively support Consulting Engineers with staff development & succession planning.
• Participate interviews for promotions or hiring within Engineering/Technology up to the level of Senior Engineer.
• Actively mentor and coach identified high potential Engineering talents within one's business lines.

• Bachelor of Science in Computer Science, Machine Learning, Engineering, or Mathematics.
• At least 10 years of experience in an engineering capacity
• Proven experience delivering software products for external customers (not limited to internal IT systems).
• Strong background in software architecture and design for industrial environments.

• Experience with Machine Learning technologies, and software systems architecture
• Experience working in an industrial environment, with safety approach
• Ability to work across organizations in a matrix environment
• Preferably having taken a Senior Engineer role
• Strong oral and written communication skills
• Strong interpersonal, responsive and leadership skills
• Problem analysis and resolution skills
• Able to pursue Engineering integrity in adverse conditions
• Able to interface effectively with most levels of the organization
• Lean experience preferred