We are looking for a Mechanical Engineer with strong experience in mechanical design using CAD tools such as PTC Creo, EFEM modules and a background in the semiconductor industry. The role is primarily focused on mechanical engineering and equipment design, with experience working in cleanroom environments.
Mechanical Engineer We are seeking a skilled Engineer with hands-on experience in wafer handling, end-effector design, and mechanical system integration. The candidate will be responsible for developing, integrating, and optimizingrobotic systems used in semiconductor manufacturing environments.
Roles & Responsibilities• Develop, program, and optimize wafer handling for semiconductor tools.• Design and validate custom end effectors suitable for various wafer sizes.• Integrate robotic systems with process chambers, load ports, aligners, and EFEM modules.• Ensure mechanical alignment, repeatability, and contamination control compliance.• Work closely with electrical, controls, and software teams for full system integration.• Conduct system testing, troubleshooting, and performance validation.• Support installation, commissioning, and customer site acceptance testing (SAT).• Prepare technical documentation including design specifications and integration reports.• Analyze and optimize existing motion control systems to improve performance, accuracy, and reliability.• Collaborate with cross-functional teams to integrate motion control solutions into semiconductor manufacturing processes.• Perform calculations and analysis to ensure system performance and reliability.• Develop and maintain technical documentation, including design specifications, test procedures, and user manuals.
Requirements (Must Have)• Bachelor’s/ Master’s degree in mechanical engineering, Mechatronics, or a related field.• 3+ years of experience in designing and implementing motion control systems, preferably in the semiconductor industry.• Experience in semiconductor automation or wafer handling systems.• Understanding of SEMI standards and cleanroom requirements.
Strong knowledge of:• Precision mechanical design• Hands-on experience with CAD tools (Creo).• Experience in mechanical tolerance stack-up and alignment methodologies.• Experience working with robotic systems from semiconductor OEMs.• Familiarity with FMEA, DFMEA, and reliability testing.• Strong problem-solving skills, Attention to precision and detail, Cross-functionalcollaboration• Ability to work in fast-paced NPI environments• Customer-facing communication capability• Strong communication and teamwork abilities.
Requirements (Nice to have)• Knowledge of wafer mapping, alignment, and edge detection systems.• Understanding of SEMI standards and cleanroom requirements.• Familiarity with Motion control, Kinematics and their integration with motion control.• Familiarity with PLC programming and industrial control systems.
The kind of person we are looking for is• Highly motivated and ambitious to create new things.• Able to take initiative.• Great Communicator
Contract for 3 months with possible extensions.
Content Creation (60%)Conceptualize: Design compelling story arcs, character identities, and thematic structures for digital media. Direct AI Models: Craft high-level creative directives to guide generative models toward specific artistic styles, tones, and moods. Content Assembly: Produce polished, media segments (1–3 minutes) by curating and synthesizing various created components. Creative Iteration: Refine outputs through precise stylistic adjustments, focusing on pacing, aesthetic "feel," and the selection of the best possible takes.
Quality Evaluation (25%)Rate AI-generated content against human-produced benchmarks on: emotional impact, visual coherence, voice naturalness, pacing, narrative hook strength Identify failure modes: uncanny valley moments, continuity breaks, dialogue that feels off, visual artifacts Maintain a quality log documenting what works, what doesn't, and patterns in output quality Participate in blind A/B evaluations comparing contents from difference sources.
Tool Feedback (15%)Document friction points, bugs, and workflow bottlenecks Suggest new features or adjustments Help define what "good enough" looks like for AI-generated content
Key Requirements:Strong storytelling understand narrative structure, pacing, cliffhangers, and emotional beats Comfort with AI toolsyou've used ChatGPT, Midjourney, Runway, or similar generative AI tools and are excited (not intimidated) by them Visual sensibilityyou can evaluate whether a generated scene looks right, feels natural, maintains character consistency Attention to detailyou notice when something is slightly off (wrong lip sync, inconsistent lighting, unnatural dialogue)
Job Description
This role has three main areas of responsibility:Day-to-day operations support (Singapore-focused):
The role supports daily operational requests for the team, with a strong focus on activities in Singapore. This includes supporting mass hiring events, organising and preparing for sharing or engagement sessions, and providing on-ground operational support as needed.
Project and project-tracking support:Depending on bandwidth, the individual will support project execution and project tracking. This includes assisting in running selected projects and maintaining trackers, providing an opportunity to develop hands-on project management skills.
Administrative support:The role will also support the secretary on selected administrative requests to ensure smooth day-to-day operations.
This position is hands-on and execution-focused, with clear deliverables.
Qualifications and Requirements- Strong communication skills- Structured and organized thinking- Willingness to learn and take on new responsibilities- Prior experience in operations, coordination, or project support is an advantage, but not mandatory- 3-5 years experience
Program Manager – Network Deployment and Data Center Experience
About the Role is seeking a highly skilled Program Manager with proven Data Center Network Deployment experience for a temporary assignment. In this role, you will support critical projects and initiatives within our infrastructure organization. This is a contingent worker position, not a full-time employment opportunity. The assignment will be based in Singapore, unless otherwise specified.
Responsibilities Lead and coordinate cross-functional Network Deployment (Edge, Backbone, Data Center) projects related to new data center builds, tech modifications, upgrades, operations and infrastructure. Develop project plans, track progress, and ensure timely delivery of milestones. Collaborate with internal teams and external partners to drive project success. Identify and mitigate project risks, ensuring compliance with standards and best practices. - Communicate project status, issues, and outcomes to stakeholders at all levels.
Minimum Requirements Experience in network engineering with a focus on deployment & support of Peering, Edge, CDN & ISP networks Knowledge of networking routing and switching protocols (BGP, MPLS, RSVP-TE, IS-IS) Working knowledge of network protocols (TCP/UDP, DNS) and experience with IPv4/IPv6 environments Working knowledge of POP/Colo physical infrastructure concepts and optic types used in 10G/100G/400G networks Ability to forecast and plan in a fast paced environment and translate the forecast into actionable deliverables with specific timelines Being able to manage multiple projects simultaneously and deliver against project deadlines Demonstrated experience managing programs or projects in data center environments. Strong organizational, communication, and stakeholder management skills. Ability to work independently and adapt to a fast-paced, dynamic environment. Proficiency in project management tools and methodologies.
Technical SkillsRequires a minimum of 7 or more years of experience as security professionalExperience in security use case design/development with understanding of scripting - python/bash , Java language.Good working knowledge of Linux (RedHat/Ubuntu).Working knowledge to interpret security logs or instructions into threat models. SecOPS-DevOPS mindset & skills.Experience in SIEM on ELK(Elastic Logstash Kibana) stack is a plus
Capacity Planning & Management • Develop and maintain data center capacity models (power, cooling, space, network, and compute). • Forecast short-term and long-term capacity requirements based on business growth and project pipelines. • Monitor utilization trends and recommend optimization strategies. • Ensure adequate capacity is available to meet SLA and performance requirements.Engineering & Design • Support design and deployment of data center infrastructure (rack layouts, power distribution, cooling systems). • Collaborate with design teams to ensure scalability, redundancy, and efficiency (e.g., Tier standards). • Review and approve engineering designs, drawings, and technical specifications. • Ensure compliance with industry standards and best practices.Project Support • Work closely with project managers to align capacity planning with project timelines. • Provide technical input during project planning, execution, and commissioning phases. • Coordinate with vendors, contractors, and internal stakeholders.Operational Optimization • Identify opportunities to improve efficiency (e.g., PUE optimization, load balancing). • Implement tools and dashboards for capacity tracking and reporting. • Support incident analysis related to capacity constraints or engineering failures.Stakeholder Management • Liaise with IT, operations, and business units to gather requirements. • Communicate capacity risks, constraints, and recommendations to leadership. • Prepare reports and presentations for senior management. Qualifications & Requirements Education • Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or a related field. • Master’s degree is a plus.Experience • 5–10+ years of experience in data center engineering, capacity planning, or infrastructure management. • Experience with hyperscale or colocation data centers preferred. • Proven experience in capacity modeling and forecasting.Technical Skills • Strong knowledge of: • Data center power and cooling systems (UPS, HVAC, CRAC/CRAH) • Rack capacity planning and space optimization • Network and compute infrastructure basics • Familiarity with DCIM tools and monitoring systems. • Understanding of redundancy standards (e.g., N, N+1, 2N).
Mandatory Technical Requirements8–10 years of professional software development experience.Strong Python development expertise.React experience building production web applications.FastAPI experience with demonstrated API development.Web scraping experience using all:ScrapyBeautifulSoupSeleniumExperience with the Python Requests library.Databricks experience (mandatory).Snowflake experience (mandatory).Experience designing unit, integration, and automation testing.Strong code documentation practices.GitHub experience with:Trunk‑based developmentPull requests, reviews, and mergesAI‑assisted / agentic coding experience (minimum 1–2 years):GitHub Copilot or equivalentResponsible use of AI for development, refactoring, testing, debugging, and documentationClear ownership and validation of AI‑generated codeEnterprise Environment ExperienceProven experience working within a large enterprise organization.Demonstrated compliance with:Defined coding standardsFormal merge and code review processesSecurity and compliance controlsDevOps / CI‑CD pipelinesDeployment and release management guidelinesAdditional ExpectationsExposure to Highcharts and Material UI (must learn quickly if not previously used).Self‑starter with the ability to work independently and take ownership.Strong delivery mindset in a trading / financial domain.Effective client‑facing communication skills.Team‑oriented with a consistently positive, professional attitude.
Job Description:We are seeking a Contract Senior Financial Analyst to partner closely with Front End (FE) Operations leaders to drive cost transparency, planning accuracy, and process improvement through automation, workflow redesign, and AI enabled productivity.This contract role is focused on hands on execution. You will work closely with FE Operation, IT, and Finance teams to deliver automation solutions, enhance analytics, and support scalable, well governed finance processes in a high volume manufacturing environment. The role is ideal for someone who can quickly ramp up, deliver tangible improvements, and reduce manual effort across FE finance workflows.
Key ResponsibilitiesSupport FE Operations Finance processes across costing, forecasting, and performance reporting, with a focus on accuracy, timeliness, and scalability.Execute process improvement and automation initiatives to reduce manual effort in data consolidation, variance analysis, and recurring reporting within the contract period.Leverage analytics and BI tools (Power BI/Tableau) to maintain and enhance dashboards that enable standardized, self service reporting for FE stakeholders.Apply AI tools such as Microsoft Copilot to accelerate data analysis, variance investigation, documentation, and preparation of management summaries, while validating outputs for accuracy and governance.Support standard costing and variance analysis, improving transparency and explainability of key cost drivers (e.g., volume, yield, labor, overhead).Assist planning and forecasting cycles by preparing inputs, consolidations, and clear variance narratives for review.Collaborate with Operations, IT, and Finance partners to deliver agreed analytics and process enhancements within defined scope and timelines.Maintain process documentation, metric definitions, and controls, ensuring work delivered during the contract is sustainable and well documented for transition.
Qualifications and Requirements:Education & ExperienceBachelor’s degree in Finance, Accounting, Economics, Business, or a related discipline5–7 years of relevant finance experience, preferably in:Manufacturing, semiconductor, or operations focused environmentsCost accounting, budgeting, forecasting, or financial planning & analysis (FP&A)Prior contract or project based role experience is preferred, with ability to ramp up quickly
Technical & Functional SkillsStrong foundation in financial analysis, including:Cost tracking, variance analysis, and trend analysis within a manufacturing environmentHands‑on experience with financial systems and data tools, such as:Advanced Excel (complex formulas, pivot tables, working with large datasets)ERP and finance reporting systems (e.g., SAP, TM1, Power BI, or equivalent)Ability to work effectively with standard cost, budget, and forecast data, understanding key manufacturing cost driversComfortable supporting month‑end close activities, including accruals, reconciliations, and data validationStrong experience across data analytics, data engineering, business intelligence and machine learningExposure to using digital or AI‑enabled productivity tools (e.g., Microsoft Copilot) to improve analysis efficiency, documentation, and reporting, with appropriate validation of outputs
Business & Analytical CompetenciesStrong analytical and problem solving skills with attention to detailAbility to interpret financial data and translate it into clear, decision relevant insightsCapable of working with incomplete or evolving data and meeting tight timelinesHigh level of ownership and accountability for assigned deliverables
Communication & CollaborationClear and professional written and verbal communication skillsAbility to collaborate effectively with:Operations, manufacturing, supply chain, and engineering stakeholdersCross functional teamsComfortable working in a fast paced, matrixed environment
Compliance & Professional StandardsAbility to follow established finance policies and procedures with minimal supervisionHigh standards of integrity, confidentiality, and professionalism
Contract Specific ExpectationsAble to start and contribute quickly with limited onboarding timeFlexible and adaptable to changing project or business prioritiesWilling to support ad hoc analyses or time sensitive requests as required during the contract period
Capacity Planning & Management • Develop and maintain data center capacity models (power, cooling, space, network, and compute). • Forecast short-term and long-term capacity requirements based on business growth and project pipelines. • Monitor utilization trends and recommend optimization strategies. • Ensure adequate capacity is available to meet SLA and performance requirements.
Engineering & Design • Support design and deployment of data center infrastructure (rack layouts, power distribution, cooling systems). • Collaborate with design teams to ensure scalability, redundancy, and efficiency (e.g., Tier standards). • Review and approve engineering designs, drawings, and technical specifications. • Ensure compliance with industry standards and best practices.
Project Support • Work closely with project managers to align capacity planning with project timelines. • Provide technical input during project planning, execution, and commissioning phases. • Coordinate with vendors, contractors, and internal stakeholders.
Operational Optimization • Identify opportunities to improve efficiency (e.g., PUE optimization, load balancing). • Implement tools and dashboards for capacity tracking and reporting. • Support incident analysis related to capacity constraints or engineering failures.
Stakeholder Management • Liaise with IT, operations, and business units to gather requirements. • Communicate capacity risks, constraints, and recommendations to leadership. • Prepare reports and presentations for senior management. Qualifications & Requirements Education • Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or a related field. • Master’s degree is a plus.Experience • 5–10+ years of experience in data center engineering, capacity planning, or infrastructure management. • Experience with hyperscale or colocation data centers preferred. • Proven experience in capacity modeling and forecasting.Technical Skills • Strong knowledge of: • Data center power and cooling systems (UPS, HVAC, CRAC/CRAH) • Rack capacity planning and space optimization • Network and compute infrastructure basics • Familiarity with DCIM tools and monitoring systems. • Understanding of redundancy standards (e.g., N, N+1, 2N).
Capacity Planning & Management • Develop and maintain data center capacity models (power, cooling, space, network, and compute). • Forecast short-term and long-term capacity requirements based on business growth and project pipelines. • Monitor utilization trends and recommend optimization strategies. • Ensure adequate capacity is available to meet SLA and performance requirements.Engineering & Design • Support design and deployment of data center infrastructure (rack layouts, power distribution, cooling systems). • Collaborate with design teams to ensure scalability, redundancy, and efficiency (e.g., Tier standards). • Review and approve engineering designs, drawings, and technical specifications. • Ensure compliance with industry standards and best practices.Project Support • Work closely with project managers to align capacity planning with project timelines. • Provide technical input during project planning, execution, and commissioning phases. • Coordinate with vendors, contractors, and internal stakeholders.Operational Optimization • Identify opportunities to improve efficiency (e.g., PUE optimization, load balancing). • Implement tools and dashboards for capacity tracking and reporting. • Support incident analysis related to capacity constraints or engineering failures.Stakeholder Management • Liaise with IT, operations, and business units to gather requirements. • Communicate capacity risks, constraints, and recommendations to leadership. • Prepare reports and presentations for senior management.
