Total 495 process development engineer job vacancies in George Town

Key Responsibilities:

• Responsible for the performance, power consumption, and reliability testing and analysis of NAND memory products, and formulating test specifications and verification processes.
• Develop and maintain test equipment (ATE), including the definition and implementation of test modes such as BIST, DFT, and DFM, continuously improving test coverage and optimizing test time.
• Locate the causes of product failures after delivery and at the wafer stage through electrical failure analysis, design circuit analysis, physical failure analysis, and data analysis.
• Collaborate with the product design team and process team to identify the root causes of failures and drive the implementation of solutions.
• Support the testing and debugging of products in system-level applications (such as SSD, UFS, eMCP) to ensure efficient use by customers and the system side.
• Complete user manual verification, product test function verification, and participate in other test-related tasks assigned by the supervisor.

Required Qualifications:

1. Education and major: Master's degree or above in microelectronics, integrated circuits, electronic engineering, computer science, automation, physics, materials science, or other related STEM fields.

2. Experience requirements:

• Familiar with semiconductor product principles and testing mechanisms; background in memory (NOR/NAND Flash, SRAM, DRAM, phase-change memory, ferroelectric, etc.) testing or design verification is a plus.
• Experience in testing 3D-NAND, TLC/QLC, or flash memory products is a plus.
• Experience with successfully tape-out and mass-produced memory chip projects is a plus.

3. Technical skills:

• Proficient in C/C++, Python, Perl, etc., and familiar with UNIX/Linux environments.
• Experience in ATE (Automatic Test Equipment) development (e.g., T5830, T5833, Magnum V93K, etc.).
• Familiar with the functions, performance, and reliability indicators of memory products.
• Familiar with design-for-test (CFT), DFM, and other design-for-test (CFT) methodologies.

4. Other skills:

• Strong logical analysis, learning, and problem-solving abilities.
• Good communication, organizational, and teamwork skills.
• Proactive, steady, meticulous, responsible, and able to work under pressure.

Job Description

We are looking for a passionate and capable individual to work with flexible sensors, wearable technologies, and benchtop biochemical analytics.

1. Be familiar with electrochemistry and electrochemical detection/analytics, colorimetric assays, enzymatic reactions, and biochemistry.
2. Be familiar with, and regular/daily wet-lab processes, materials processing, sample preparation, and electrochemical device preparation.
3. Be familiar with device and materials characterisation, such as common electrochemical approaches (CV, amperometry, DPV, SWV, etc), impedance measurements, basic optical measurements, and standard microscopy.
4. Possess basic computational abilities such as python, basic AI skills, with a keen eye for automation.
5. Be highly motivated for intellectual output (problem solving, publications, IP and general knowledge creation), able to learn quick on the job, able to think outside the box for research and engineering solutions

Qualifications & Field of Study:

Bachelors in preferably biomedical engineering, or materials science and engineering; chemical or electronics engineering or related fields are also relevant.

1. Good understanding of sensing materials, conductive/semiconductive materials, electronic devices, electrochemical sensors, and their related device engineering/development and characterisation tools
2. Good with detailed hands-on work in wet lab, meticulous and attention to detail; good with characterisation measurements
3. Have sufficient computational knowledge and abilities to complement research, including basic programming language, basic AI skills, awareness of automation etc.
4. Basic awareness and knowledge of biosensors, wearables technology, healthcare/medtech landscape.

Other Requirements:

1. Strongly driven for intellectual output and knowledge creation
2. Resourcefulness in problem solving
3. Diligent and team player, work in multi-disciplinary environments.

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.

Job Summary

About the Role

The Institute of High Performance Computing (IHPC), A*STAR, is seeking a highly motivated Research Engineer to develop and deploy advanced AI systems that translate cutting-edge research into scalable real-world applications.

The successful candidate will work closely with research scientists to implement, optimize, and operationalize AI models across healthcare and biomedical domains. This role combines software engineering, machine learning, and systems engineering to bridge the gap between research and deployment.

Key Responsibilities

AI System Development

• Design, develop, and maintain machine learning and deep learning systems.
• Implement state-of-the-art AI algorithms from research prototypes into production-quality software.
• Build scalable data processing and model training pipelines.
• Develop multimodal AI systems integrating text, image, video, sensor, and structured data.
• Optimize model training, inference, and deployment workflows.

Research Translation

• Collaborate with AI researchers to translate novel algorithms into robust software solutions.
• Reproduce and benchmark research models.
• Develop reusable AI frameworks, libraries, and tools.
• Support experimentation, model evaluation, and performance optimization.

Software & Infrastructure Engineering

• Design scalable cloud and on-premise AI infrastructure.
• Develop APIs, backend services, and model-serving platforms.
• Implement automated testing, monitoring, and CI/CD pipelines.
• Support large-scale distributed training and inference systems.

Deployment & Integration

• Deploy AI solutions into healthcare, scientific, and enterprise environments.
• Integrate AI systems with operational workflows and external platforms.
• Develop monitoring tools for model performance and reliability.
• Support technology transfer and production deployment activities.

Requirements

Essential

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, or related disciplines.
• Strong programming skills in Python.
• Experience with PyTorch, TensorFlow, or similar machine learning frameworks.
• Experience in software engineering best practices.
• Familiarity with Linux, Git, and software development workflows.
• Strong problem-solving and system design skills.

Preferred

• Experience with:Large Language ModelsMultimodal AIComputer VisionMLOps platformsCloud Computing (AWS, Azure, GCP)Containerization (Docker, Kubernetes)Distributed ComputingGPU Computing

What We Offer

• Opportunity to work on cutting-edge AI technologies with real-world impact.
• Access to world-class computational infrastructure and research facilities.
• Collaboration with leading researchers, clinicians, scientists, and industry partners.
• A dynamic environment supporting innovation, learning, and career growth.

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

The position requires engineer to carry out tasks related to the support of broadcast and broadcast IT related equipment and systems, including activities such as manning of support hotline, system diagnosis, remediation and monitoring, system administration, patching and preventive maintenance. In addition, the position is required also to support the planning and implementation of broadcast IT system projects.

• Provide technical support to broadcast equipment and systems in News Studios & News Post Production and asset management system, Outside Broadcast production van, News Room Computer System and etc.
• Document, communicate, collaborate, and handle fault incidents
• Assess system vulnerabilities and provide guidance, remediate and mitigate any reliability and security risks
• Perform troubleshooting and repair of broadcast equipment and system.
• Perform preventive and corrective maintenance broadcast and IT equipment.
• Work with different business units to provide technical solutions to enhance existing operation and setup
• Evaluate and recommend new broadcast IT equipment and system.
• Support project implementation of broadcast IT system and infrastructures including the support in drafting of technical specifications and costings documentations.
• Perform shift and standby duty to support broadcast system and infrastructures.

• Degree in Information Technology, Information Systems, IT Security or equivalent. CCNA, Certification in Information Technology networking field is an advantage.
• Candidate without the required academic qualifications but with at least 3 years of relevant experience in IT, Broadcast or Media Production related field are welcome to apply.
• Microsoft certifications such as MCSA preferred
• Project management experience preferred.
• Basic understanding of cloud / enterprise system architecture
• Network troubleshooting skills of IT devices maintenance and experience with management and configuration of networking devices (switches, routers, firewalls) will be preferred.
• Perform shift and standby duty to support broadcast system and infrastructures.

As a Senior IT Engineer , you will be responsible for managing and ensuring the stability, availability, and performance of the organization’s enterprise IT infrastructure, with a focus on systems, storage, backup, and disaster recovery operations.

• Manage and support enterprise IT infrastructure, including Windows/Linux servers and virtualization platforms (VMware / Hyper-V)
• Administer, configure, and maintain storage environments (SAN / NAS), including provisioning, monitoring, performance tuning, and capacity management
• Manage enterprise backup solutions such as Veeam, Commvault, or Veritas NetBackup
• Monitor backup jobs, investigate and resolve failures, and perform regular restore testing and recovery validation to ensure data integrity
• Support disaster recovery (DR) operations, including replication setup, failover/failback execution, and periodic DR drills/testing
• Ensure adherence to defined RPO (Recovery Point Objective) and RTO (Recovery Time Objective) targets, as well as data protection and compliance standards
• Perform proactive infrastructure monitoring, system health checks, patch management, and preventive maintenance activities
• Participate in incident management, troubleshoot infrastructure issues, and ensure timely resolution with minimal business impact
• Conduct root cause analysis (RCA) for major incidents and implement corrective and preventive actions (CAPA)
• Coordinate with internal IT teams, vendors, and external clients for support, escalation handling, and project implementation
• Maintain accurate and up-to-date technical documentation, operational runbooks, backup reports, and infrastructure records
• Support infrastructure optimization initiatives, including performance improvements, automation opportunities, and capacity planning
• Provide escalation support for complex technical issues beyond L2/L3 operational teams (Senior Engineer responsibility layer)

About the Team:

As part of the Search, Recommendation, Ads (Engineering & Architecture) team, We build and operate the search engine that powers retrieval and ranking across the company. The system is built on Vespa (a ~1.7M-line C++/Java codebase) and runs at scale across hundreds of nodes. Our work spans the full stack: cluster orchestration, HNSW-based vector indexing, rank expression evaluation, capacity planning, and the developer tooling that keeps all of it shippable. We care a lot about correctness, latency tails, and operational simplicity.

Job Description:

• Design, implement, and operate components of the search engine — indexing, query execution, ranking, or storage using C++

• Improve indexing and retrieval performance: SIMD-friendly data layouts, cache-aware algorithms, lock contention

• Extend vector search capabilities (HNSW and beyond) and integrate them cleanly with traditional inverted-index retrieval

• Build tooling and automation that makes the team faster — capacity models, fault-injection tests, deployment checks, AI-assisted workflows

• Participate in design reviews, code reviews, and on-call rotation

Job Requirements:

• Bachelor's Degree or higher in Computer Science or related field

• At least 5 years of full time backend development experience using C++/Go/Python

• Experience working on Vespa Search Engine is preferred

• Familiarity with vector search and ANN algorithms (HNSW, IVF, PQ).

• Solid foundation in data structures, algorithms, and systems. You can reason about cache behavior, memory layout, and concurrency..

• Experience operating non-trivial services in production: profiling, debugging core dumps, reading flamegraphs, tracing distributed requests.

• Comfortable working in a large existing codebase. 

• Strong written communication. You write design docs and PR descriptions that the next on-call can actually use.

Product area

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Job description

As a Generative AI (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within partners for our customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke and scalable agentic solutions directly with our partners, for and within the customer’s environment. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with strategic partners, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical connector and feedback loop for the partner to Google, transforming real-world field and partner insights into Google Cloud’s future product roadmap. You will serve as the agent engineer bridging the gap between AI prototypes and production-grade reality for our strategic AI partners and their own FDE teams.

Qualifications

Job responsibilities

• Serve as a team lead and developer within the strategic AI partner for complex AI applications, working with the partner’s own teams to transition from rapid prototypes to production-grade, replicable agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment (ROI).
• Build high-performance evaluation pipelines and observability frameworks to ensure partner developed agentic systems meet rigorous requirements for accuracy, safety, and latency.
• Identify repeatable partner and field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
• Co-build with a strategic AI partner’s forward deployed engineering teams to instill Google-grade development best practices.
• Help partners to build their own agentic delivery capabilities to set them up for long term success, focusing on the ROI at customer engagements ensuring customer activation.

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform).
• Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.
• Experience leading technical discovery sessions with customers.

Preferred qualifications

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Knowledge of Large Language Model native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

Job description

Work directly with the technical director to develop electrical and electronic systems for inspection tools and other products

Design, build and test electrical, electronics, sensors and other systems for performance

Analyse designs and prototypes, to account for tolerance, precision, to meet specification requirements.

Work with other team members to integrate electronic designs onto practical systems with optical and mechanical systems.

Requirements

Master’s/PhD in electronic engineering or related disciplines with relevant experience in programming, EDA, FPGA, etc.

Ability to use commercial softwares to design and optimise electronic systems, ensuring that designs work according to specifications

Strong fundamental knowledge in electronics and relevant technologies such as optical sensors. Knowledge in other relevant disciplines such as physics, chemistry, material science etc. is a plus.

Capable and willing to design, build and test complex electronic setups from proof of concept to implementation on products.

Must have experience in setting up, troubleshooting and optimising electronic systems.

Must be an exceptional team player, willing to go the extra mile for high performing teams.

Must have adaptability to solve difficult problems with like minded team members.

At least 2 years of relevant working experience

Job Summary

Job Purpose

The Knowledge Engineer will be responsible for designing, constructing, and maintaining knowledge graphs derived from heterogeneous enterprise documents. The role involves leveraging Large Language Models (LLMs) for knowledge extraction, ontology-driven structuring, and question answering over knowledge graphs to support intelligent search, reasoning, and decision-making systems.

Key Responsibilities

• Leverage LLMs to extract structured knowledge (entities, relations, attributes) from unstructured and semi-structured documents such as:Maintenance manualsProduct design documentsTroubleshooting guidesLessons learned reports
• Process documents in multiple formats, including Word, PDF, PowerPoint, and Excel.
• Design, construct, and maintain knowledge graphs, including:Schema and ontology designEntity and relationship modellingData normalisation and validation
• Implement and manage knowledge graph storage using graph databases such as Neo4j and GraphDB.
• Develop LLM-powered question answering and interaction pipelines over knowledge graphs, enabling:Natural language queriesContext-aware and explainable responses grounded in structured knowledge
• Collaborate with domain experts and stakeholders to refine ontologies, extraction logic, and use cases.

Required Skills & Experience

• Strong understanding of ontology design, knowledge graph modeling, and semantic data representation.
• Proficiency in Python, with experience building data processing and NLP pipelines.
• Solid understanding of prompt engineering and LLM-based workflows.
• Hands-on experience working with LLMs, including both:Closed-source models (e.g., GPT-based APIs)Open-source models (e.g., LLaMA, Qwen, etc.)
• Experience with graph databases, particularly Neo4j and/or GraphDB.

Preferred / Advantageous Skills

• Experience in information extraction, document understanding, or NLP pipelines.
• Familiarity with RDF, OWL, SPARQL, or Cypher is a plus.
• Experience integrating LLMs with structured knowledge sources (e.g., KG-augmented QA, RAG with graphs).

Key Competencies & Attributes

• Strong analytical and problem-solving skills, with the ability to translate unstructured information into well-defined data models.
• Ability to work independently while collaborating effectively within a multidisciplinary team.
• Good communication skills to engage with technical and non-technical stakeholders.
• Demonstrated willingness to continuously learn and keep up with advances in LLMs, NLP, and knowledge engineering.

Job description

Work directly with the technical director to develop efficient algorithms for machines

Design, build and test computing systems for speed and performance

Derive computation methods with portable code for integration on complex systems, taking into consideration hardware used

Work with other team members to integrate computing systems onto practical systems with optical and mechanical systems.

Requirements

Degree/Master’s/PhD in computer science or related disciplines with relevant experience in programming, EDA, FPGA, etc.

Ability to code in C. Hardware optimisation for computations is a plus.

Ability to understand equations and solution methods to implement on complex systems

Understand how to apply AI and machine learning algorithms to practical problems

Must be an exceptional team player, willing to go the extra mile for high performing teams.

Must have adaptability to solve difficult problems with like minded team members.

Fresh graduates welcome.

Job Summary

The Institute of High Performance Computing (IHPC), A*STAR, was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

We are looking for a motivated and versatile individual to join the Healthcare team. The role will support the development, adoption, and continuous improvement of reusable AI assets and platforms through ecosystem engagement, platform operations, product thinking and practical UI/UX capability.

Research Engineer (Reusable Healthcare AI Assets)

The successful candidate will work closely with researchers, engineers, product owners, healthcare and public-sector stakeholders, and industry partners to identify user needs, translate them into actionable platform requirements, and drive the adoption of reusable AI assets. The role is suitable for someone who can engage stakeholders effectively, structure feedback into product and operational priorities, and contribute to simple, intuitive user journeys, wireframes, prototypes, dashboards, and documentation for AI platforms.

Requirements

• Experience in at least one of the following areas: AI/ML platform delivery, product or platform operations, technical project management, ecosystem or stakeholder engagement, developer relations, digital transformation, UI/UX design, or technology adoption.
• Working understanding of AI/ML systems, data-driven applications, software platforms, APIs, cloud environments, MLOps, or reusable software/assets. Deep research specialisation is not required, but the candidate must be comfortable working with technical teams.
• Ability to translate between domain needs, user pain points, operational constraints, and technical implementation requirements.
• Practical exposure to user research, journey mapping, wireframing, prototyping, usability testing, information architecture, or interface review.
• Strong written and verbal communication skills, with the ability to explain technical capabilities and trade-offs to both technical and non-technical audiences.
• Good planning, coordination, and stakeholder management skills, with the ability to manage multiple workstreams independently in a fast-moving environment.

Preferred qualifications (one or more of the following)

• Experience in healthcare, biomedical, public-sector, or regulated digital systems.
• Hands-on experience with UI/UX or prototyping tools such as Figma, Miro, FigJam, Balsamiq, or equivalent.
• Ability to build lightweight prototypes, demos, or dashboards using tools such as React, JavaScript/TypeScript, HTML/CSS, Streamlit, Gradio, Dash, Tableau, Power BI, or similar.
• Experience managing reusable asset catalogues, platform onboarding journeys, technical documentation portals, design systems, knowledge bases, or developer-facing resources.
• Familiarity with agile delivery and collaboration tools such as Jira, Confluence, Git, GitHub/GitLab, or equivalent.
• Awareness of responsible AI, model evaluation, AI safety, data privacy, cybersecurity, and governance considerations for AI systems.

Interested applicants should submit their curriculum vitae, together with a short cover note describing relevant experience in ecosystem engagement, platform operations, AI/ML systems, and UI/UX or product-related work. The level of appointment will be commensurate with experience.

For applicants, please send your curriculum vitae to Dr Ricardo Shirota Filho (ricardo_shirota_filho@a-star.edu.sg)

Key Responsibilities:

• Responsible for the architecture design, RTL encoding (Verilog/SystemVerilog), and functional verification of digital control logic in 3D-NAND memory;
• Design a state machine (FSM) to manage complex NAND operation processes (such as Program, Read, Erase, Copy-back, Suspend/Resume, etc.);
• Develop a command decoder and address/parameter parsing logic to ensure compliance with JEDEC and internal specifications;
• Implement high-precision timing control logic to accurately generate the internal timing signals required for various operations (such as tR, tPROG, tBERS, etc.);
• Deeply involved in the physical layer and link layer logic implementation of ONFI (Open NAND Flash Interface) or Toggle Mode interface protocols, supporting DDR, NV-DDR, NV-LPDDR, and other modes;
• Collaborate with the analog/mixed-signal team to define array access timing, voltage switching windows, and read/write path control interfaces;
• Collaborate with firmware (FW) and system architecture teams to develop register maps, interrupt mechanisms, error handling strategies, and debug interfaces;
• Support UVM verification environment setup, provide Design for Testability (DFT) support, and participate in FPGA prototyping;
• Participate in chip bring-up, post-silicon debugging, and performance optimization to ensure products meet specification requirements.

Required Qualifications:

1. Education: Master's degree or above
2. Major: Microelectronics and Integrated Circuits, Electrical Engineering, Computer Engineering, or related fields;
3. Other Requirements:

• Minimum 5 years digital IC design experience, experience in NAND Flash or SSD controller projects is a plus;
• In-depth understanding of ONFI 4.x or Toggle 2.0/3.0 protocol specifications, with practical interface IP development or integration experience;
• Experience in control logic design under 3D-NAND or TLC/QLC architectures is a plus;
• Familiar with ECC control interfaces (such as LDPC/BCH engine scheduling and interaction);
• Excellent cross-functional collaboration skills, able to communicate efficiently with simulation, firmware, verification, testing, and product teams to jointly develop technical solutions.
• Experience with successfully tape-out and mass-produced memory chip projects is a plus.

We are seeking an experienced Lead Engineer-Water Solutions / Testing & Commissioning to lead the testing, pre-commissioning, commissioning, and start-up of Ultra Pure Water (UPW) systems for high purity applications in semiconductor and advanced manufacturing environments.

Key Responsibilities:

• Develop and execute commissioning procedures, test plans, and protocols for UPW systems

• Perform pre-commissioning activities (flushing, hydrotesting, leak testing, chemical cleaning)

• Conduct functional testing for systems including RO, EDI, ion exchange, UV, degasification, and ultrafiltration

• Validate system performance against design specifications and client requirements

• Troubleshoot issues and support system start-up and handover

• Prepare commissioning documentation and reports

Requirements:

• Degree in Chemical, Mechanical, or Environmental Engineering

• At least 10 to 15 years of experience in UPW systems or advanced water treatment

• Hands-on commissioning experience for large-scale UPW plants

• Strong knowledge of RO, EDI, mixed bed, and polishing loop systems

• Familiar with SEMI standards and high-purity system design

Preferred Skills:

• Experience in semiconductor fab utilities (UPW, WWT, reclaim)

• Knowledge of water quality parameters (TOC, resistivity, conductivity, silica)

• Familiarity with PLC/SCADA systems

• Ability to read P&IDs and engineering drawings

Attachment Description

This role is responsible for identifying new business opportunities, developing strategic partnerships, and driving company growth.

Specific Responsibilities

1. Identify new business opportunities, strategic partnerships, and potential clients.

2. Develop and implement growth strategies aligned with company objectives.

3. Conduct market research and competitor analysis to identify emerging trends.

4. Explore opportunities in energy, infrastructure, investment, or power-related sectors.

5. Build and maintain strong relationships with clients, investors, and stakeholders.

6. Act as the primary contact for key accounts and strategic partners.

7. Lead negotiations and close business deals effectively.

8. Manage timelines, reporting, and stakeholder communications.

9. Evaluate partnership performance and business outcomes.

10. Represent the company at meetings, conferences, and networking events.

11. Prepare regular business development reports for management.

12. Maintain accurate records of negotiations, contracts, and client interactions.

13. Track KPIs, pipeline progress, and market performance metrics.

Technical Skills and Competencies

1. Knowledge of energy, investment, or infrastructure sectors /

Presentation and business communication skills

2. Contract negotiation and proposal preparation /

Project management and coordination

3. Relationship-building and networking / Customer-focused and business-oriented approach /Leadership and team collaboration

Mature Mid Career Individuals- $2, 900

This position is open for mid career individuals (Mature, 40 years and above).

Mid career individuals from any qualification level can apply.

About Us

Cygnus Med is the Singapore-based R&D center of Furui Medical Science, a publicly listed global medical technology group focused on early-stage diagnosis. Positioned at the crossroads of clinical medicine, medical imaging, and computational science, we are building the next generation of intelligent tools that empower physicians to make faster, more accurate decisions.

At Cygnus, we blend the agility of a startup with the stability and scale of an international enterprise. As part of a high-impact, cross-disciplinary team, your work will translate directly into innovations that improve patient outcomes around the world.

Role Overview

This is a hybrid role combining business development and clinical solutions.

The ideal candidate should be comfortable engaging with hospitals, doctors,research teams, and medtech partners, while also being able to understand software products, data workflows, AI-enabled solutions, and basic technical discussions.

Key Responsibilities

1. Hospital Partnership & Business Development

• Identify and develop relationships with hospitals,surgeons, clinical researchers, and medtech partners in Singapore and selected regional markets.
• Support the setup of clinical validation projects, research collaborations, and pilot opportunities.
• Build and maintain a pipeline of potential hospital partners, KOLs, research collaborators, and commercial pilot sites.
• Represent Cygnus Med in external meetings with clinical, academic, industry, and government stakeholders.
• Support market mapping, competitor analysis, and go-to-market planning for Cygnus Med’s medical AI software.

2. Clinical Solutions & Project Delivery

• Understand hospital and clinical workflows related to vascular imaging, and translate user needs into clear product requirements and technical action items.
• Lead product demonstrations, workflow discussions, user feedback sessions, and solution presentations with clinical partners.
• Coordinate clinical validation, data collection, annotation, and pilot projects with hospitals, ensuring clear timelines, deliverables, and follow-up actions.
• Work closely with software, AI, and data engineers to align clinical needs with product development, system integration, testing, and deployment.
• Track project progress, partner feedback, data quality issues, and operational risks, and drive issues through to resolution.

3. Market & Commercial Development

• Identify early adopter hospitals, research partners, and high-value use cases in Singapore and selected regional markets.
• Develop insights into hospital adoption barriers, procurement pathways, competitive positioning, and commercial opportunities.
• Work with management to design pilot models, validation partnerships, pricing approaches, and longer-term commercial pathways.
• Support Cygnus Med’s market entry and partnership strategy by converting clinical relationships into executable projects and commercial opportunities.

Requirements

Must Have

• Bachelor’s degree in Biomedical Engineering, Medical Technology, Computer Science, Life Sciences, Business, Healthcare, or a related field.
• 3–6 years of relevant experience in medtech, digital health, medical devices, healthcare business development, clinical solutions, product management, or a similar cross-functional role.
• Proven ability to engage hospitals, clinicians, research teams, or healthcare partners and move discussions into concrete projects.
• Sufficient technical understanding to work effectively with software, AI, and data teams, and to translate clinical or business needs into clear product requirements.
• Strong project ownership, communication, and stakeholder management skills.
• Comfortable working independently in an early-stage, international, and fast-moving environment.
• Fluent in English. Mandarin is an advantage for collaboration with China-based partners.

Preferred

• Existing network or prior working relationships with hospitals, clinicians, KOLs, research groups, or medtech partners in Singapore or Asia.
• Prior experience in medical AI, digital health software, ultrasound, vascular imaging, or SaMD.
• Technical exposure to software products, AI workflows, data platforms, annotation tools, APIs, or system integration.
• Experience supporting hospital pilots, clinical validation, research collaborations, or early-stage product commercialisation.
• Familiarity with medical software regulatory considerations or clinical data compliance.
• Entrepreneurial experience, either as a start-up founder or in a similar cross-functional role within an early-stage company.