Level

Thales

Industrial Maintenance Engineer

AI in this role

Location: Singapore, Singapore

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.

In Singapore, Thales has been a trusted partner since 1973, originally focused on aerospace activities in the Asia-Pacific region. With 2,000 employees across three local sites, we deliver cutting-edge solutions across aerospace (including air traffic management), defence and security, and digital identity and cybersecurity sectors. Together, we’re shaping the future by enabling customers to make pivotal decisions that safeguard communities and power progress.

Roles & Responsibilities:

You will be responsible for ensuring the reliability, automation, commissioning, troubleshooting, and continuous improvement of test benches, equipment, and robots within the Maintenance and Production Workshop.

You will lead root cause analyses of bench and equipment failures, identify and implement corrective and preventive actions, and drive initiatives to improve equipment reliability and minimize downtime.

You will also be responsible for establishing the necessary equipment, tools, and resources for new repair and production lines. This includes working closely with the Central Engineering team to define technical requirements and participate in technical discussions. You will liaise with suppliers and oversee equipment realization, delivery, installation, commissioning, and final acceptance.

Requirements:

  • Degree or Diploma in Electrical, Electronics, Mechatronics Engineering, or a related discipline.
  • Minimum 3–5 years of experience in Equipment Engineering, preferably within a high-technology manufacturing or production environment.
  • Experience in new equipment/bench setup, installation, repair, troubleshooting, and maintenance.
  • Project Management experience is an added advantage.
  • Strong ability to interpret engineering drawings, electrical schematics, tool/bench drawings, and other technical documentation.
  • Hands-on experience in diagnosing and troubleshooting PLC, HMI, and industrial communication issues.
  • Knowledge of RF or Test Software Engineering, Total Productive Maintenance (TPM), and the implementation and use of Gauge Repeatability & Reproducibility (GR&R) for equipment performance monitoring and trending is an advantage.
  • Hands-on experience with equipment and tooling installation, commissioning, and qualification.
  • Flexible and adaptable, with the ability to work effectively in a fast-paced and rapidly changing environment.
  • Ability to lead, recommend, and implement best practices and continuous improvement initiatives to maintain high levels of quality, reliability, and consistency.
  • Comfortable working in system- and software-integrated test bench environments.
  • Ability to work independently and collaborate effectively with teams across multiple time zones.
  • Strong interpersonal, communication, and problem-solving skills.
  • Willingness and ability to learn and work with new and diverse technologies.
  • Willing and able to work on shifts as required.

At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.

How we score this

Industrial Maintenance Engineer at Thales scores 38 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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