Total 331 Senior Executive level Science / R&D / Research job vacancies

“Work where your team values you”

Responsibilities:

• Manage daily store operations
• Deliver exceptional customer experience including managing customer enquiries
• Active replenishment of stocks and inventory control
• Ensure in-store display is carried out according to Visual Merchandiser guidelines
• Other duties may also be assigned depending on operation needs

Requirements:

• Minimum GCE “N” or “O” Level
• Able to work during weekends and public holidays
• Prior retail experience, fashion retail, is preferred
• Customer service oriented with good communication skills
• Excellent communication and interpersonal skills

Work Schedule:
5 Days Work Week
Retail Hours
Shift Work
Workplace: IMM/Ang Mo Kio Hub

Other Benefits:
Staff Discount
Medical & Dental

Interested individuals may email your resume to careers@bossini.com.sg or WhatsApp us at 86597785. Only shortlisted candidates will be notified. 

This is an exciting opportunity to join the Life and Health Central Life Reserving team in Singapore. The team oversees the valuation, reserving and financial reporting for Life and Health business of Munich Re Singapore branch, covering both global and local valuation bases including Solvency II, HGB, MAS and IFRS (9 and 17).

Reporting to the Head of MRS Valuation, you will combine accounting, actuarial science, modelling, and regulatory expertise to ensure sufficiency of reserves and insightful financial reporting to the senior management at Munich Re.

Your Role

You will be involved across the full valuation and reporting cycle, including:

• Proposing model enhancements and setting valuation assumptions for the Singapore business
• Modelling new treaties in AXIS
• Preparing quarterly and annual Solvency II reporting for Singapore
• Delivering quarterly and annual IFRS reporting (Group and local)
• Producing management reports for the local leadership team
• Supporting annual financial planning for the Singapore business
• Partnering closely with the local business teams to support commercial and reporting needs
• Supporting local and Group audit processes
• Collaborating with regional and global stakeholders (e.g. Oversight and Consolidation teams) during reporting cycles

Your Profile

• Bachelor’s or Master’s degree in Actuarial Science, Mathematics or Statistics
• At least 2 years of valuation experience preferred
• Strong analytical, problem solving, research and project management skills
• Excellent verbal and written communication skills
• Proficient in Excel (can maintain complex spreadsheets), VBA, SQL and database management systems
• Knowledge of IFRS17 standards and/or AXIS would be an advantage

At Munich Re, we embrace, and value, the interaction of diverse backgrounds, experiences, perspectives and thought. This interaction is our foundation. Of our open culture and spirit of partnership. Of how our teams are built and cultivated. Of how we are supported and developed. And at the centre of this interaction is each of us.

• Lead and execute R&D projects on Battery Management Systems (BMS) for lithium-ion, sodium-ion, and other next-generation batteries.
• Conduct system-level research on battery safety and external monitoring (excluding materials development), focusing on failure mechanisms, protection strategies, and Electrochemical Impedance Spectroscopy (EIS) measurement and analysis.
• Design and optimise multi-source energy management systems integrating batteries, solar PV, fuel cells, and hybrid configurations.
• Develop and implement algorithms for battery diagnostics, including SOC, SOH, SOP estimation, predictive analytics, early-warning safety mechanisms, and hybrid energy optimisation.
• Advance research on future battery systems from an Electrical & Electronic Engineering (EEE) perspective, such as:
• a. Cloud-connected and distributed BMS architectures with AI-assisted diagnostics.
• b. Real-time health monitoring and on-the-fly EIS.
• c. Digital twins for Energy Storage Systems (ESS).
• d. Fast-charging strategies from a control perspective.
• e. Integration of new battery types at the system level.
• Support the development of next-generation ESS and microgrid integration, emphasising control, power electronics, and system-level optimisation.
• Prepare and manage project proposals, research grants, technical documentation, and reports.
• Collaborate with industry partners on R&D initiatives, prototype validation, and technology deployment.

We are looking for a motivated Research & Technical Support Engineer/Scientist to develop, maintain, and support BEOL furnace processes including BEOL metal anneal, barrier/liner engineering, dielectric curing, hydrogen anneals, and stress‑relief treatments. This role involves both fundamental materials science and hands‑on tool/process ownership in a cleanroom research environment. You will collaborate with R&D teams working on advanced interconnect technologies, photonic integration, 3D integration, and novel dielectric/metallization schemes.

Job Responsibilities:

BEOL Furnace Process Development

• Develop and optimize BEOL thermal processes including Metal anneal, Barrier/liner stabilization, Dielectric curing, Passivation and Stress‑relief anneals
• Perform tool qualification, recipe loading, chamber matching, SPC set up and contamination monitoring.
• Troubleshoot process excursions and ensure stable operations with high repeatability.
• Correlates anneal conditions with film quality, stress, adhesion, and reliability metrics.

Cross‑Functional Collaboration

• Work closely with teams in Photonic IC, Wide-Bandgap Devices, Packaging and reliability for process integration.
• Provide guidance for internal projects on thermal budgets, thermal‑stress implications, and BEOL process compatibility for novel materials and device architectures.

Job Requirements:

• Degree (Bachelor, or Master based on job scope) or above in Electrical Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Physics or related fields.
• 3 years of working experience in Semiconductor Fabrication is advantageous.
• Hands‑on experience with furnace processing, anneals, or BEOL‑related thermal steps is highly wanted.
• Knowledge of metallization physics, anneal passivation, interconnect reliability and dielectric curing.
• Understanding of thermal budget constraints and stress‑management in BEOL stacks.
• Hands-on experience in Design of Experiments (DOE), root cause analysis, and problem-solving methods is desired.
• Experience in Photonic IC, SiC devices, 2.5D/3D packaging and/or Wafer Bonding would be a plus.
• Proficiency with materials characterization tools, such as ellipsometry, XRD, XPS, TEM, SEM, stress measurement

We're seeking a talented and passionate Process Engineer/Senior Process Engineer to join our epitaxy team, Advanced Process Modules (APM). The successful candidate will be responsible for SiC epitaxy process development for next-generation power devices. This position is within the National Semiconductor Translation and Innovation Centre (NSTIC) – Power Electronics.

Responsibilities:

• Design and implement innovative SiC epitaxial processes on an industrial hot-wall CVD system, focusing on achieving exceptional dopant and thickness uniformity, as well as minimal extended defect density on 6- and 8-inch SiC substrates.
• Perform metrology and characterization of SiC epilayers (e.g., dopant and thickness uniformity, surface roughness, crystal quality, stress, carrier lifetime, etc.).
• Conduct optical and photoluminescence inspections of extended defects in SiC epilayers, including critical defects such as micropipes, carrots, triangles, downfalls, stacking faults, and basal plane dislocations.
• Design experiments to minimize point and extended defect densities in SiC, with emphasis on enhancing SiC power device performance.
• Develop advanced epitaxy processes for cutting-edge devices, such as SiC selective epitaxy and SiC trench-filling epitaxy.
• Prepare technical presentations and papers for internal meetings, conferences, and journals and draft technical disclosures/IP.
• Collaborate with IME's NSTIC – Power team to address key technical challenges in the SiC power electronics industry.
• Contribute ideation for new funding proposals.
• Perform all other reasonable duties as assigned.

Requirements:

• Bachelor's or Master's degree in Electrical/Electronic Engineering, Materials Science, Physics, Chemistry or a related field.
• 2 to 3 years of experience in semiconductor CVD process, preferrably epitaxy process development or manufacturing (Si, SiC GaN, or other semiconductor materials).
• Strong knowledge of semiconductor processes (e.g., lithography, etching) and characterization techniques (e.g., SEM, TEM, XRD).
• Excellent communication, collaboration, and self-motivation skills.
• Avid technical reader, critical thinker, and strong team player.
• Proficiency in data analysis and DOE tools (e.g., Excel, JMP, Origin) is an advantage.

Job Responsibilities:

• Support developing and sustaining electroplating processes (Cu TSV/Damascene/ RDL/Pillar, UBM, micro-bump) in both R&D and small volume manufacturing environments.
• Support troubleshooting, root cause analysis for electroplating defects (e.g., voids, roughness, non-uniformity, adhesion issues).
• Design and perform DOEs to define process windows, characterize new requirements, and evaluate plating chemistries, technologies.
• Compile, analyse, and interpret test data to establish process specifications.
• Generate comprehensive technical reports for both internal teams and customers.
• Collaborate closely with senior engineers, process integrators, and cross-functional teams to align with technology roadmaps and process capability requirements.

Job Requirements

• Bachelor's or higher degree in Materials Science, Chemical Engineering, Chemistry, or related fields.
• Knowledge of electroplating process is a plus.
• Hands-on experiences in electroplating or related processes are preferred.
• Solid knowledge of experimental design (DOE), data analysis, and problem-solving methodologies (e.g., statistical analysis, root cause analysis).
• Excellent interpersonal, communication, and teamwork skills, with the ability to collaborate across disciplines.
• Self-motivated, resourceful, and capable of managing multiple priorities in a dynamic R&D setting.

Purpose of the job

The Order Management Team represents the interface between customer, external sales and operations. The employee ensures that all sales processes are adhered to and is responsible for the order entry and proactive customer relationship management. The goal of the sales process is the correct and speedy entry of the customer’s order.

Duties and Tasks

• Supports the sales process proactively.
• Receives customers’ order direct, via the Sales Support and Quotations Team or via external sales.
• Amends configured products at time of order entry.
• Order entry.
• Takes into consideration customs and foreign trade.
• First contact for all orders – direct business
• Clarification of delivery queries with regards to orders – direct business.
• Output: Clarified order to operations.
• Order monitoring until receipt of payment from customer.
• Receipt of customer complaints and forwarding these to After Sales Team.
• Responsible for customer master data and conditions in ERP system.

Experience & Qualifications

• Customer Service with order or quotation management experience.
•  “A” level or Diploma.
• Minimum of three years’ experience with proven records.

Skills and Abilities

• Hands-on experience in SAP preferred.
• Proficient in verbal and written English.

Description

Our mission is to build a global financial institution for digital assets, one designed from the ground up for market integrity and efficiency.

To achieve this in a rapidly evolving market, we apply a disciplined, first-principles approach to everything we do. This approach is embedded in our core services, from institutional liquidity provision, trading solutions, OTC execution to our comprehensive treasury management offerings. This is how we cut through the noise and build robust and scalable systems across all our business lines.

We seek individuals who are driven by this systematic approach. Joining Flowdesk means you will be a key contributor in building and scaling a more transparent and efficient financial markets infrastructure.

As a Senior Backend Engineer, you will help design and build the core services powering our global trading platform.

Reporting to the Lead of Backend Engineering and working closely with the Infrastructure, Trading, and Data teams, you will be a key contributor to the scalability, performance, and reliability of our backend systems.

Your mission together with the other members of the backend team will be to

• Design, develop, and maintain microservices primarily written in Rust, with some services and tooling in TypeScript.
• Contribute to system architecture and design discussions, helping shape the evolution of our backend services and trading platform.
• Implement scalable, resilient backend systems supporting OTC and API trading workflows.
• Build and optimize high-performance trading services, with a focus on low latency, high throughput, and fault tolerance.
• Develop and maintain REST and WebSocket APIs, ensuring proper versioning, robust documentation, and smooth integration for internal and external clients.
• Write clean, maintainable, and testable code, following industry best practices, code review standards, and internal guidelines.
• Monitor, investigate, and resolve production issues, including performance bottlenecks, service failures, and client-impacting anomalies, in close collaboration with SRE/Infra.
• Deploy, scale, and monitor microservices in cloud and containerized environments, working with tooling such as Kubernetes and modern CI/CD pipelines.

Requirements

Background and experience

• Solid experience as a backend engineer, ideally in high-availability, low-latency, or high-throughput environments (trading, fintech, or similar is a plus).
• Strong programming skills in Rust (or strong systems-level experience in a similar language and willingness to ramp up quickly on Rust); familiarity with TypeScript or modern JavaScript is a plus.
• Knowledge of API design (REST, WebSocket), including authentication, authorization, rate limiting, and versioning.
• Comfortable working with databases and data stores (SQL and/or NoSQL), including schema design and performance optimization.
• Experience running services in cloud and containerized environments (Docker, Kubernetes, AWS/GCP, etc.) and with CI/CD tools.
• Strong debugging and performance profiling skills, with a methodical approach to identifying and fixing complex production issues.
• Ability to collaborate effectively with cross-functional teams and to communicate technical concepts clearly to both technical and non-technical stakeholders.
• Organized, pragmatic, and delivery-focused, with a strong interest in continuous learning and in applying new technologies to improve our platform.

Benefits

> International environment (English is the main language)

> Monthly Health Allowance for you & dependants

> Amazing Office Facilities such as Running Track & Pool

> Yearly Personal Development stipend

> Team events and off-sites

Here's what you can expect if you apply

1. HR call (30')
2. Technical Test
3. Technical round with the Lead of the Backend team (60’) & Team Fit (60’) onsite
4. Wrap Up Interview (45'), Learn about our culture and how we work.
5. C-Level Interview (30')
   

We focus on conversations, not trick questions. These discussions will help you understand how Flowdesk operates and allow you to share your journey and what you’re looking for in your next role.

We are committed to an inclusive and accessible recruitment process. If you require any reasonable adjustments or have specific needs to enable you to participate fully in the interview or assessment process (e.g., a sign language interpreter, extra time for a test, or an accessible location), please contact us to discuss how we can support you.

Position: Senior Scientist

Position Role: Process Integrator for Advanced Package Assembly for Heterogeneous Integration

The Advanced Packaging Program at the Institute of Microelectronics (IME) is seeking a passionate and skilled Scientist or Senior Scientist to join our team. This role is pivotal in advancing the state-of-the-art chip-to-wafer/chip-to-chip fine pitch micro-bump thermal compression bonding and chip-to-wafer fusion/hybrid bonding, underfilling and moulding capabilities, developing 2.5D interposer and 3D chip stacking assembly process integration flows for Heterogeneous Integration of chiplets. The position provides an exciting opportunity to contribute to groundbreaking technologies and collaborate with a dynamic team of researchers and external ecosystem stakeholders.

Key Responsibilities

• Lead flip chip bonding process capabilities development to scale down micro bump bonding and chip-to-wafer hybrid bonding technologies for heterogeneous chiplets integration.
• Develop assembly process integration approaches to realise complex novel system-in-package architectures by integrating chiplets.
• Work with design and wafer process integration teams to establish assembly process design rules for advanced packaging platform technologies.
• Identify the capability needs for future package architectures to conceptualise and lead assembly capability development projects involving new materials, advanced process integration approaches, and innovative concepts.
• Engage and manage internal and external stakeholders for project activities execution, and provide updates on schedule and deliverables
• Act as a subject matter expert (SME) for both internal and external stakeholders, providing guidance and expertise.
• Collaborate with cross-functional teams such as design, unit process team, yield improvement, and external partners, including materials, equipment, customers and universities, to identify technology gaps, define technology roadmap and drive the development.
• Develop new IPs and strengthen the advanced packaging IP portfolio in assembly processes and assembly integration approaches.
• Inspire and mentor students in semiconductor technology, contributing to workforce development in advanced packaging.
• Customer/partner engagement: ability to present technical content to customers and senior stakeholders; drive joint development (JDP/NRE).
• Mentoring junior engineers, influencing without authority, and ownership of module roadmaps.
• Willingness to be hands-on in the cleanroom and learning new processes and metrology equipment.

JOB REQUIREMENT/Qualification

Candidates should meet the following criteria:

• PhD in Materials Science & Engineering, Mechanical, Chemical, Electronics/ Electrical & Computer Engineering, Physics, Chemistry or a closely related field.
• 5-10 years of experience in the semiconductor industry, with expertise in package assembly processes and exposure to advanced package assembly technologies such as thermal compression bonding, chip-to-wafer bonding, underfilling, etc.
• Broad hands-on knowledge of one or more unit processes—such as wafer thinning, dicing, flip chip bonding, underfilling, solder ball attachment, wafer-level compression moulding - is preferred.
• Proven ability to work effectively in a diverse, matrixed environment and collaborate with cross-functional departments.
• Strong analytical/problem-solving skills (Ishikawa, Seven Basic Quality Tools, brainstorming) and proficiency with DOE and SPC (JMP/Minitab).
• NPI to HVM ramp experience: process window definition, control plans, and yield/cost improvement through pilot to high-volume manufacturing (foundry/OSAT).
• Reliability & standards: working knowledge of JEDEC/IPC/JESD (e.g., HTS, TC, HAST, BLR, EM), and failure analysis flows (X-ray, CSAM, FIB/SEM-EDX).
• Excellent written and verbal communication abilities.
• Demonstrated ability to manage multiple projects and priorities in a research and translational environment.
• Able to work effectively with multi-ethnic, multicultural teams and to build inclusive, high-performing teams.
• Proven ability to author impactful conference/journal papers and deliver presentations at international conferences (e.g., ECTC, IEDM, VLSI Symposia) across North America, Europe, and Asia.

What We Offer

• The opportunity to work on cutting-edge research projects in advanced packaging and heterogeneous integration.
• A collaborative & interdisciplinary work environment and access to state-of-the-art facilities and resources.
• File intellectual property (IP) promptly for new research findings.
• Publish research in peer-reviewed journals and present findings at international conferences.
• Researchers have access to advanced laboratories and characterisation equipment, fostering innovation and enabling the development of groundbreaking technologies. The institute encourages interdisciplinary collaboration and offers opportunities for professional growth and development.

Join us in shaping the future of semiconductor technologies and heterogeneous integration. Apply today!

About the Role

We are looking for a Senior Research Engineer to design and implement AI-enabled solutions that support manufacturing planning, scheduling, and inventory analytics. You will work on building backend services, data pipelines, and APIs that connect AI systems with manufacturing platforms to enable smarter, data-driven decision-making.

Key Responsibilities

·       Lead the development and integration of applications for production planning, scheduling, and inventory optimization.

·       Design backend services and APIs to support planning and analytics workflows.

·       Orchestrate multiple AI-driven agents for collaborative task execution in manufacturing systems.

·       Connect AI applications with external manufacturing platforms and enterprise tools.

·       Collaborate with AI/ML engineers to deploy models into production.

·       Build scalable backend systems using Docker, Kubernetes, and cloud platforms.

·       Support CI/CD pipelines and maintain production/staging environments.

·       Contribute to evolving AI-based decision support platforms for manufacturing operations.

Requirements

·        Bachelor's degree in AI, Computer Engineering, Software Engineering, or related field.

·       Minimum of 5 years of experience in software development, focusing on enterprise systems.

·       Experience with microservices (C# .NET, Python) and using Angular.

·       Familiarity with AI-driven planning, scheduling, or inventory analytics.

·       Knowledge of agent-based systems or multi-agent coordination.

·       Proficiency with Docker, Kubernetes, and cloud environments.

·       Hands-on experience with CI/CD tools (Jenkins, GitHub, etc.).

·       Exposure to AI/ML model integration in production.

·       Excellent problem-solving, troubleshooting, and analytical skills, with a high level of attention to detail.

·       Strong verbal and written communication skills.

·       Positive, proactive attitude, with the ability to collaborate effectively across multiple stakeholders.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

About the Role

We are looking for a Senior Research Engineer to design and implement AI-enabled solutions that support manufacturing planning, scheduling, and inventory analytics. You will work on building backend services, data pipelines, and APIs that connect AI systems with manufacturing platforms to enable smarter, data-driven decision-making.

Key Responsibilities

·       Lead the development and integration of applications for production planning, scheduling, and inventory optimization.

·       Design backend services and APIs to support planning and analytics workflows.

·       Orchestrate multiple AI-driven agents for collaborative task execution in manufacturing systems.

·       Connect AI applications with external manufacturing platforms and enterprise tools.

·       Collaborate with AI/ML engineers to deploy models into production.

·       Build scalable backend systems using Docker, Kubernetes, and cloud platforms.

·       Support CI/CD pipelines and maintain production/staging environments.

·       Contribute to evolving AI-based decision support platforms for manufacturing operations.

Requirements

·        Master's degree in AI, Computer Engineering, Software Engineering, or related field.

·       Minimum of 8 years of experience in software development, focusing on enterprise systems.

·       Experience with microservices (C# .NET, Python) and using Angular.

·       Familiarity with AI-driven planning, scheduling, or inventory analytics.

·       Knowledge of agent-based systems or multi-agent coordination.

·       Proficiency with Docker, Kubernetes, and cloud environments.

·       Hands-on experience with CI/CD tools (Jenkins, GitHub, etc.).

·       Exposure to AI/ML model integration in production.

·       Excellent problem-solving, troubleshooting, and analytical skills, with a high level of attention to detail.

·       Strong verbal and written communication skills.

·       Positive, proactive attitude, with the ability to collaborate effectively across multiple stakeholders.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Key Roles and Responsibilities

• Develop and optimize CMP process for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Collaborate with process integration teams to drive CMP process development, optimization, and troubleshooting for both industrial and grant-funded projects.
• Own innovation strategy for CMP raw materials, slurry, methodologies, and approaches to enhance CMP uniformity, stability and defect performance.
• Provide technical support to fab teams in implementing and sustaining statistical process control (SPC) for CMP modules, ensuring consistent process performance.
• Prepare and deliver technical reports and presentations for both internal stakeholders and external customers, effectively communicating project progress and technical insights.

Job Requirements

• Bachelors/Master's degree in Electronics, Microelectronics, Materials Engineering, Chemical Engineering, Materials Science, Chemistry, Physics, or equivalent.
• Minimum 3 years of experience in semiconductor industry, preferably in CMP technologies.
• Hands-on experience with 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara) is highly desirable.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor platforms is advantageous.
• Hands-on experience with basic process characterization techniques such as DRSEM, Ellipsometry, and AFM is a plus.
• Strong skills in experimental design (DOE), data analysis, and process optimization.
• Good analytical and communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-motivated with a strong interest in advancing next-generation CMP applications and industry trends.

About ARTC
The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium with over 80 industry members. Our mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to enhance local industry competitiveness.
Within ARTC, the Smart Virtual Systems (SVS) Group focuses on applying AI, optimisation, and advanced modelling techniques to enable intelligent, data-driven manufacturing operations.

About the Role

We are seeking a highly motivated Scientist / Senior Scientist to lead and conduct research in modelling and optimisation for enterprise multi-resource planning problems. This role offers the opportunity to advance scientific research in the field of operations research and translate innovations into impactful industry solutions across diverse range of industries.
The successful candidate will be an individual with a strong command of the required technical domains, leadership skills to manage research efforts and project delivery teams, excellent communication skills with technical and non-technical audiences, and good interpersonal skills to work with various stakeholders.  

Key Responsibilities

·       Lead research into innovative optimisation algorithms for multi-resource planning, including production scheduling, inventory management, and capacity planning.

·       Work with engineers to translate research outcomes into deployable solutions for industrial applications.

·       Formulate scientific research directions and develop innovative proposals aligned with industry needs.

·       Drive competitive research funding proposals and collaborations with industry and academic partners.

·       Publish high-quality research in top international journals and conferences.

·       Mentor junior researchers and contribute to the development of ARTC's R&D roadmap in enterprise optimisation.

Job Requirements

·       PhD in AI, Computer Science, Operations Research, or related disciplines with emphasis on optimisation, machine learning, or data science.

·       Strong background in modelling and optimisation for planning & scheduling problems.
* 5+ years' experience in R&D leadership and research project management in relevant areas.

·       Proven expertise in programming and algorithm development (e.g., Python, C# .NET) for optimisation and machine learning.

·       Strong track record of publications in top-tier journals and conferences.

·       Deep understanding of production planning, scheduling, and inventory optimisation domains.

·       Excellent technical writing, presentation, and communication skills.

·       Demonstrated ability to apply optimisation algorithms to real-world multi-resource planning problems (industry projects experience is a plus).

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Responsibilities:

• Develop and optimize processes for SiC Device module integration, flows for SiC devices fabrication, focusing on process integration and yield improvement.
• Collaborate with cross-functional teams to design and implement process modules for SiC devices manufacturing.
• Conduct experiments, analyze data and refine processes to achieve targeted performance and yield.
• Troubleshoot and resolve issues related to device integration and process development.
• Document procedures, maintain details record, and standard operating procedures (SOP)

Job Requirement:

• Diploma, Bachelor’s or Master’s in Electronics Engineering, Materials Science, Physics, or related field.
• Proven experience (1-2 years) in semiconductor device module integration.
• Familiarity with cleanroom protocols and safety procedures.
• Knowledge of basic semiconductor unit processes such as PVD, RIE, ICP, etc.
• Ability to work effectively as a team as well as independently.
• Intern/working experience in semiconductor manufacturing/R&D Fab will be considered a plus.
• Strong communication and teamwork skills.

ARTC is looking for a Senior Development Engineer to join Autonomous Systems & Robotics (ASR) group to accelerate the development of novel, intelligent, and/or reconfigurable robotic systems that can be adopted by industry.

ABOUT THE ROLE

As a Senior Development Engineer, you will contribute towards developing systems and solutions as part of a larger team, and lead small projects, to meet the needs of different companies across the manufacturing and logistics ecosystem in Singapore. You will work with both senior and junior engineers and scientists at A*STAR on different R&D projects for developing robotics and automation systems.
If you are passionate about applied research and/or the development of Generative AI-driven robotics and automation systems and applying the best-in-class physical AI and optimization algorithms to solve practical industry problems, this is the role for you.

JOB DESCRIPTION

• Discuss with stakeholders to get clear understanding of their problem statements, requirements, expectations
• Study new technologies and tools available in the market, evaluate and compare pros and cons, make recommendations; contribute to generative AI-driven robotic and automation system development projects
• Validate new concepts for systems or methods, by using virtual models, simulations and physical prototypes
• Design and develop physical / software modules, programs, and other system components
• Testing and validating the systems / solutions developed by other project team members
• Develop detailed technical proposals addressing complex industry challenges, including automation, robotics.
• Lead both robotics and automation system / software development projects for both competitive grant-funded research as well as for direct industrial problem statements
• Interact with System Integrators (SI) and vendors to develop and deploy AI-based automation systems in the final operational environment (such as a factory shopfloor or warehouse facility) to meet end-user needs
• Write and maintain technical documentation of the work done in projects, and make presentations

JOB REQUIREMENT

• Bachelor's Degree in Engineering disciplines (Mechanical, Electrical, Electronics, Computer Engineering)
• At least 3 years of experience in developing and deploying industry-ready AI/ML-based robotics and automation systems and/or software
• Strong understanding of smart manufacturing automation systems (IT / OT)
• Strong experience in programming (e.g., Python, C / C++ )
• Good experience in developing robot manipulation programs (e.g., ABB RAPID, URScript, KRL) for different industry applications
• Experience in 3D Simulation tools (e.g., Visual components, Isaac Sim, Gazebo), or willing to learn simulation tools 
• Experience in drafting new system proposals, technical scoping, and cost estimation
• Hands-on experience with industrial robot arms, cobots, PLCs etc. for automation systems / solutions development projects.
• Able to work independently and hands-on for projects to develop robotics / automation systems, without regular supervision.
• Strong problem solving and analysis skills
• Practical knowledge in applying Generative AI, Reinforcement Learning etc. in both simulation and real-life implementations will be a strong plus
• Experience in systems-level modelling and simulation will be a plus (e.g., Simulink)
• Knowledge of Robot Operating System (ROS / ROS 2), UI/UX development etc. will be a plus

We value the following 

Soft skills

 as well:

• Strong communication and interpersonal skills, to interact with different stakeholders at a technical or functional level (with colleagues, management, customers)
• Self-motivated individual with a strong sense of ownership of the assigned tasks, and willing to lead projects when needed
• Good time management skills
• Willingness to learn and master new / unfamiliar tools and technologies
• Flexibility and willingness to work on new tasks, and the ability to adapt to changes

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.