Lead Engineer, System - #1118409

Job Summary

Domain specific knowledge in electronics, mechanical, optics, firmware, system are required and combined towards our SICK purpose to deliver sensor intelligence into products & solutions.

Roles and Responsibilities:

• Lead System Workpackage in technical aspects to fulfil project scope including timely product launch.

• Perform Stakeholder requirement analysis and translate to System Requirements.

• Break down the System Requirements to domain specific requirements.

• Review and Optimize System test procedures across various products to ensure good quality, robustness and efficiency.

• Review and Optimize System Specifications across various products.

• Explore and Introduce new technology and methods into products

• Support to close Product Lifecycle topics including coordinating Failure Analysis within Product design.

Job Requirements:

• Diploma in Electronics & Computer Engineering or Embedded Systems or equivalent.

• 10 years in a R&D development role and has been involved in at least five projects from Concept to Launch.

• Good understanding of Sensor technology and operating principles.

• Good understanding of Statistics.

• Understand and interpret the Product Regulatory Standards to advice the Engineers.

• Translate product requirements to System requirements.

• Be responsible and take ownership on assigned tasks.

• Managing conflicts arising from Multidisciplinary Collaboration.

• Take decisions on Technical matters.

• Growth mindset to acquire new technical competencies.

• Provide Coaching and Mentoring on technical skills to younger engineers.

• Propose to R&D management on training needs.

• Take Initiative to translate existing problem space into solution space.

• Implement and promote good practices.

• Prepare and hold technical presentations / sharing / trainings across R&D team.

System Engineering

• Perform Requirement Analysis and Requirement Engineering using JAMA.

• Design the system architecture and break down into the functional domains.

• Ensure design is adherent to robust verification & validation (V&V).

Data & Analysis

• Apply & impart statistical methods to assess sensor accuracy, precision, and reliability.

• Apply & impart Design FMEA and PFMEA using DFSS approach.

• Apply Machine Learning (optional) for advanced sensor applications like pattern recognition or predictive maintenance.

System Integration & Validation

• Multidisciplinary Collaboration with Mechanical, Electronics, Firmware, Optical and relevant teams to ensure cohesive system design.

• Apply knowledge from Product standards and procedures such as thermal management, vibration, and EMI/EMC testing into the system architecture.

• Create technical documentation, test reports, and system specifications.