Role Description We are seeking a highly skilled Application Engineer to be the technical expert for Mecademic's robotic solutions in the ASEAN market . This crucial, hands-on role provides in-depth technical support and demonstrations, ensuring the successful deployment and optimization of our ultra-compact robots for engineers and system integrators across the region. Your Main Responsibilities - Technical Support & Application Development: - Work directly with engineers, developers, and integrators who are testing, coding, and implementing the robots. - Handle objections and propose solutions to overcome technical and operational challenges. - Answer technical questions and resolve issues related to product functionality and integration, and conduct product demonstrations. - Create and document PoC (proof-of-concepts) projects that help customers evaluate Mecademic robots in their applications. - Provide expert advice and guidance regarding our robot technology to help customers optimize their projects. - Conduct training sessions to empower customers to use the robots effectively. - Develop resources (e.g., FAQs, guides) to assist customers during the integration process. - Utilize CRM tools to manage customer relationships. - Global Representation: - Travel within the ASEAN Region to represent Mecademic at trade fairs, partner events, and customer sites. - On a case by case basis some travel may be required to India and/or China. - Act as a technical ambassador, engaging with engineers, integrators, and clients to promote and support Mecademic’s robotic solutions. Qualifications - Bachelor's degree in Electrical, Mechanical, Computer, or Mechatronics Engineering. - Proven experience in a similar role, ideally in the robotics or automation field. - Fluency in English is required. - Proficiency in Malay, Vietnamese, or Mandarin is a significant advantage for daily client communication. Requirements - Solid understanding of industrial automation concepts, including robot kinematics, controllers, sensors, and safety systems. - Proficient in CAD software for mechanical and electrical design (e.g., SolidWorks). - Experience with robot simulators and PLCs is highly desirable. - Strong programming ability, ideally in Python, with hands-on experience using APIs and version control systems (e.g., Git) is highly desirable. - Excellent communicator, capable of translating complex technical information into accessible content. - Customer-focused mindset with a collaborative spirit for cross-functional work. - Detail-oriented with the ability to manage multiple tasks and priorities. - Experience organizing logistics for technical events or equipment deployments is a plus. Job Conditions - Full-time permanent remote position, to be filled as soon as possible. - Ability to travel frequently across the ASEAN region to meet clients and partners. - Compensation based on profile and experience. - Requires living in the ASEAN region (ideally Malaysia) and having a valid work permit. Benefits - Join a team that values innovation, collaboration, and a relentless pursuit of excellence. - Opportunity to manage some of the region's largest and most important industrial accounts.

• Develop and implement strategies to optimize supplier processes, reduce costs, and ensure high-quality materials and components • Assessment and selection of Suppliers of key commodities including on-site and off-site supplier assessments • Drives component qualifications and parts qualification processes for Brooks and its partners • Drives Supplier Corrective / Preventive Action for problem resolution and continuous improvements (may include, CPK, Gauge R&R studies etc) • Participates in Material Review Board Activity – disposition and resolve non-conformance issues of supplied materials • Generate Supplier Corrective Actions (SCAR) as required and follow up with Suppliers for completion/ closure ( RCCA) • Establishment of Supplier performance metrics & conduct Supplier process and performance audits • Conduct training sessions and workshops to help suppliers meet and exceed company standards • Identify and address potential risks in the supply chain, ensuring reliability and consistency • Work closely with engineering, procurement, and operations teams to align supplier capabilities with our production needs • Regularly assess supplier performance, conducting audits and providing feedback to drive continuous improvement

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational physics problems that simulate real physics research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; - Base problems on real research challenges or practical applications from physics practice; - Verify solutions using Python with standard physics simulation libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for optical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Physics (Theoretical, Experimental, or Computational) or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical simulation methods; - Ability to design problems that mirror real physics research workflows; - Creative thinking in problem design across diverse physics areas; - Familiarity with physics modeling and approximation techniques; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original computational physics problems that simulate real physics research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; - Base problems on real research challenges or practical applications from physics practice; - Verify solutions using Python with standard physics simulation libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for optical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Physics (Theoretical, Experimental, or Computational) or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical simulation methods; - Ability to design problems that mirror real physics research workflows; - Creative thinking in problem design across diverse physics areas; - Familiarity with physics modeling and approximation techniques; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.