Lead Engineer, System
1 week ago
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.
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