AI/ML Software Principal Engineer

• 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.

Technical Leadership

• 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.

Engineering/Technology Practices

• 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.

Competency Governance

• 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.

People Development

• 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.

Required Qualifications/Experience

• 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.

Desired Characteristics

• 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