Total 3 Manager tech support job vacancies in Engineering category in Hong Kong

Description:

Technical Leadership & Strategy

• Define and execute the technical roadmap aligned with business objectives
• Lead cross-functional engineering teams to drive innovation, productivity, and quality improvements
• Oversee process development and integration of new modules into manufacturing

Team Leadership & Mentorship

• Manage and mentor a team of engineers and technicians
• Provide guidance on tool safety, process chemistry, and advanced data analysis
• Foster a culture of continuous improvement and technical excellence

Process Optimization & Manufacturing Excellence

• Drive initiatives such as Design for Manufacturing (DFM) to ensure scalable and stable product designs
• Lead Root Cause Analysis (RCA) during yield excursions and process failures
• Implement Statistical Process Control (SPC) and Design of Experiments (DOE) for optimization
• Develop and enforce Standard Operating Procedures (SOPs)

Operational Efficiency & Cost Management

• Lead Cost of Ownership (CoO) reduction initiatives and waste elimination programs
• Manage production scaling while maintaining high quality standards
• Optimize inventory levels and lead times

Business & Product Ownership

• Own Product Lifecycle Management, including market positioning and profitability (P&L)
• Drive revenue growth and margin improvement, including management of Cost of Goods Sold (COGS)
• Identify market trends and ensure readiness for industry inflection points

Stakeholder & Customer Management

• Build strong partnerships with suppliers and key customers
• Lead joint development programs with semiconductor manufacturers
• Ensure high levels of customer satisfaction and long-term relationship management
• Oversee field service strategies to maximize installed base revenue

Qualifications:

• Bachelor’s in Engineering (Electrical, Mechanical, Chemical, or related field)
• Extensive experience in semiconductor equipment, manufacturing, or related high-tech industries
• Proven leadership experience managing engineering teams
• Strong expertise in SPC, DOE, RCA, and process optimization methodologies
• Demonstrated experience in product lifecycle management and P&L ownership
• Excellent communication, stakeholder management, and problem-solving skills

Job Responsibilities:

IT Network & Infrastructure

• Oversee the design, implementation, maintenance, and optimization of IT networks, systems, and infrastructure.

• Ensure high availability, scalability, performance, and reliability of IT services across the region.

• Lead infrastructure planning, system upgrades, and disaster recovery/business continuity initiatives.

IT Security & Compliance

• Establish and enforce IT security policies, standards, and governance frameworks.

• Ensure compliance with regulatory, legal, and industry requirements (e.g. data protection, cybersecurity).

• Oversee risk management, security monitoring, incident response, and periodic security audits.

Vendor & Software Partner Management

• Manage relationships with external vendors, software developers, and technology service providers.

• Oversee contract negotiations, service level agreements (SLAs), and vendor performance.

• Ensure vendors deliver solutions that meet business, security, and compliance requirements.

IT Help Desk & User Support

• Lead IT help desk operations with partner vendors to provide timely and effective end-user support.

• Establish service standards, KPIs, and escalation procedures for incident and problem management.

• Ensure a consistent IT support experience for users across all locations.     

Job Requirements:

• Minimum Diploma in It related study

• Minimum 3 years of working experience

• Hands-on experience in network administration, systems management, and end-user support.

• Working knowledge of IT security practices and compliance requirements.

• Experience managing external vendors and service providers.

• Experience in financial services or insurance industry will be an advantage

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format or please click on “Apply Now”.

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EA License No: 19C9950

EA Personnel: Lee Jun Siong (Johnson)

EA Personnel Reg No: R24120242

Mission Summary:

We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services.

You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement.

What you'll be doing:

• Team Leadership & Management:
• Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration.
• Provide technical guidance, mentorship, and career development opportunities to team members.
• Foster a collaborative and inclusive team environment.
• Define team goals, priorities, and roadmap in alignment with company objectives.
  
  
• Technical Strategy & Execution:
• Define the technical vision and strategy for ML acceleration across the organization.
• Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.
• Design, develop, and implement scalable and efficient ML acceleration solutions.
  
  
• Cross-functional Collaboration:
• Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly.
• Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.
• Act as a technical expert and advocate for ML acceleration initiatives across the company.
  
  
• Impact & Measurement:
• Regularly measure and report on the impact of acceleration efforts.
• Continuously seek opportunities for further optimization and innovation.
  
  

What we're looking for:

• Experience:
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
• 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems and model performance optimization.
• 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams.
• Extensive experience with large-scale ML model training and deployment, ideally in a production environment.
• Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure).
  
  
• Technical Skills:
• Deep expertise in ML frameworks such as PyTorch or JAX.
• Proficiency in performance profiling and optimization techniques for Deep Neural Networks.
• Strong programming skills in Python; C++ experience is a plus.
• Knowledge of MLOps principles and practices.
  
  
• Leadership Skills:
• Exceptional leadership, communication, and interpersonal skills.
• Ability to attract, hire, and retain top engineering talent.
• Proven ability to drive complex technical projects from conception to completion.
• Strong problem-solving skills and a proactive, results-oriented mindset.
• Ability to thrive in a fast-paced, dynamic environment.