Level

Thales

Manufacturing Systems Engineer (1-Year FTE)

Thales is hiring a Manufacturing Systems Engineer (1-Year FTE) in Singapore, Singapore. Level rates it ; you can apply on Thales.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Data Analytics, ERP and Manufacturing Execution System.
  • Level classifies it as a mid-level role.
  • Level lists 3,000+ other open roles at Thales.
  • The role was posted within the past two weeks.

AI in this role

Drive manufacturing performance and process improvement through data analytics and industrial engineering.

data-analyticserpmanufacturing-execution-system
process-optimizationindustrial-engineeringcontinuous-improvementdata-analysiscapacity-planning
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.

The Manufacturing Systems Engineer is responsible for driving manufacturing performance improvement through data analytics, process optimization, industrial engineering methodologies, operational analytics, and digitalization initiatives.


The position plays a key role in supporting factory performance management, enabling data-driven decision-making, standardizing manufacturing processes, and implementing continuous improvement initiatives.


This is a 1-Year Fixed Term Employment.


Responsibilities:

  • Analyze production, quality, yield, downtime, and operational performance data to identify gaps, root causes, and improvement opportunities.
  • Lead or support continuous improvement initiatives to enhance productivity, process efficiency, product quality, and cost performance.
  • Apply structured problem-solving methodologies to investigate operational issues and develop effective corrective and preventive actions.
  • Implement, validate, and monitor process improvements to ensure measurable and sustainable performance gains.
  • Establish and standardize best practices, operating procedures, and performance measurement methods across manufacturing operations.
  • Conduct capacity analysis, workload assessments, line balancing studies, and resource utilization reviews to identify production constraints and improvement opportunities.
  • Perform time studies, work measurement, and productivity assessments to establish performance baselines and identify opportunities for efficiency improvement.
  • Evaluate manpower requirements, equipment utilization, and production workflows to optimize resource allocation and manufacturing capacity.
  • Identify bottlenecks and constraints within production processes and recommend solutions to improve throughput and operational flow.
  • Support production planning and capacity expansion initiatives through data-driven analysis and scenario evaluation.
  • Develop, maintain, and enhance dashboards, key performance indicators (KPIs), and management reports to monitor manufacturing performance.
  • Consolidate, analyze, and visualize operational data to provide actionable insights and support timely, data-driven decision-making.
  • Utilize data analysis and visualization tools to identify performance trends, detect deviations, and track improvement results.
  • Support the digitalization and automation of manufacturing reporting, data collection, and performance monitoring processes.

Requirements:

  • Diploma or Bachelor's degree in Engineering, Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Electrical Engineering, or a related discipline.
  • 2–4 years of relevant experience in a high-volume manufacturing environment, preferably involving manufacturing performance improvement, industrial engineering, process optimization, or operational analytics.
  • Ability to structure dashboards and presentations to tell a clear data-driven story, highlighting performance trends, root causes, improvement opportunities, and recommended actions.
  • Demonstrated understanding of manufacturing processes, engineering standards, project specifications, and continuous improvement practices.
  • Experience in data analysis, KPI development, performance reporting, or manufacturing digitalization is preferred.
  • Experience with data visualization and dashboarding tools, such as Microsoft Power BI and Grafana.
  • Relevant certifications in Lean Manufacturing, Six Sigma, Industrial Engineering, or data analytics are an advantage.

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 rate this

Manufacturing Systems Engineer (1-Year FTE) at Thales rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Process OptimizationIndustrial EngineeringContinuous ImprovementData AnalysisCapacity PlanningData AnalyticsERPManufacturing Execution System

Questions you could be asked

  1. Tell me about a project where process optimization was part of your work. What did you do?
  2. Tell me about a project where industrial engineering was part of your work. What did you do?
  3. Tell me about a project where continuous improvement was part of your work. What did you do?
  4. Tell me about a project where data analysis was part of your work. What did you do?
  5. Tell me about a project where capacity planning was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Process Optimization, Industrial Engineering, Continuous Improvement, Data Analysis, and Capacity Planning. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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