This role is with NTUitive, a partner supported by SGInnovate.
BackgroundYou will be joining a team from NTU’s School of Chemistry, Chemical Engineering and BioTechnology (CCEB) that is developing category-defining technology to automate the identification and resolution of complex production anomalies in pharma manufacturing. We are seeking an entrepreneurial individual to work with the research team during the pre-spin-off stage and help build the commercial pathway for a future venture in AI-powered pharmaceutical manufacturing and quality assurance. This is not a paid employee role at the outset. It is an early-stage opportunity for someone who wants to engage hands-on with a strong technical platform and play a crucial role in building and making a real impact via an innovative company.
Job scope
You will work closely with the research team and relevant stakeholders to support the commercial development of the opportunity, including:
Market Analysis: Evaluating market opportunities and priority customer segments within the global healthcare and life sciences sectors.Business Modeling: Refining the value proposition and business model to ensure scalable commercial success.Go-to-Market: Shaping go-to-market strategy and partnership pathways for a successful transition from lab to industry.Partnerships: Identifying pilot opportunities, early adopters, and strategic collaborators (e.g., within the Pharma industry).Fundraising: Supporting fundraising strategy across grants, venture capital, strategic investors, and other financing routes.Pitching: Helping craft investor materials, commercial narratives, and spin-off positioning for high-stakes meetings.Venture Building: Contributing to company formation planning and early venture-building activity.
Desired ProfileDomain Expertise: 7+ years of experience within Pharma Manufacturing, QA/QC, MS&T, or Life Sciences consulting.The "0-to-1" Mindset: Proven ability to thrive in the ambiguity of a pre-launch startup and build commercial structures from scratch. You should have proven experience in relevant environments such as startups, technology transfer, commercialisation, go-to-market strategy, product launching, or investor pitching.Financial Fluency: Familiarity with fundraising mechanisms, including grants, venture capital, strategic investors, and public or private financing schemes.Communication: Fluent in English with the ability to translate complex AI/Deep Tech capabilities into high-value business outcomes for C-suite stakeholders.Drive: Strong motivation to develop the business in Singapore and internationallyThe Connector: You possess a "rolodex" of contacts in manufacturing sites or corporate quality departments that can be leveraged for early validation and pilots.
Interested candidates may apply directly at:https://central.sginnovate.com/hub/marketplace/openings/3472ccc6-be50-4374-915e-e362fde719c1
This role is with NTUitive, a partner supported by SGInnovate.
BackgroundNTUitive is supporting a planned spin-off built on research from Nanyang Technological University (NTU) and the French Alternative Energies and Atomic Energy Commission (CEA), focused on advanced technology for printed circuit board recycling. We are seeking an entrepreneurial individual to work with the research team during the pre-spin-off stage and help build the commercial pathway for a future venture in advanced recycling and resource recovery. This is not a paid employee role at the outset. It is an early-stage opportunity for someone who wants to engage hands-on with a strong technical platform and potentially transition into a commercial co-founder role when the spin-off is formed.
Job scopeYou will work closely with the research team and relevant stakeholders to support the commercial development of the opportunity, including:Evaluating market opportunities and priority customer segmentsRefining the value proposition and business modelShaping go-to-market strategy and partnership pathwaysIdentifying pilot opportunities, early adopters, and strategic collaboratorssupporting fundraising strategy across grants, venture capital, strategic investors, and other financing routesHelping craft investor materials, commercial narrative, and spin-off positioningContributing to company formation planning and early venture-building activity
Desired profileProven experience in relevant environments such as startups, technology transfer, commercialisation, go-to-market strategy, product launching, or investor pitchingFamiliarity with fundraising mechanisms, including grants, venture capital, strategic investors, and public or private financing schemesFluent in English; French and/or Mandarin would be a plusStrong motivation to develop the business in Singapore and internationallyTechnical awareness in x-ray technology, metal recovery, hydrometallurgy, and/or computer vision would be an asset, though it is not required
Interested candidates may apply directly at:https://central.sginnovate.com/hub/marketplace/openings/2e890c12-76ce-45f9-9c44-4722984a1cda
This role is posted on behalf of SpeQtral, a startup supported by SGInnovate.
BackgroundSpeQtral is looking for highly motivated electronics engineers to join a team of space quantum pioneers at the office in Singapore. We are commercialising quantum communications to prepare the world for the quantum future. Think quantum space lasers, entanglement and military level secure communications. As part of our mission to transform the world's networks we plan to launch a constellation of satellites to enable world-wide entanglement distribution. The earliest application of this is highly secure delivery of encryption keys to facilitate secret communications. At SpeQtral, you would work directly together with a team of scientists and engineers to overcome the technical challenges of quantum communication in the real world.
Job scopeQualification:Bachelor’s degree in electronics engineering with five years of working experience, or master’s degree in electronics engineering with two years of working experience.Exceptional academic/industrial achievements and/or demonstrated passion for technology through extra-curricular activitiesCuriosity about working on the forefront of deep tech development
Responsibilities:Detailed requirements breakdowns, tradeoffs analysis, work planning and preparation of associated documentation.Design, program and test FPGA-based platforms for Quantum Key Distribution systems.Collaborate with a team of domain and technology experts implementing solutions based on state-of-the-art and/or cutting-edge R&DPrepare user documentation and guides to support the usage of QKD hardwareEffectively present technical content internally as well as to customersAssist with creating commercial and research proposals to support work done at SpeQtral and with partners of SpeQtralOther related functions as assigned
Technical Skills (Must-have):Experience with FPGA hardware and software design (VHDL/Verilog)Example: FPGA time taggersExperience with implementation of electronics interfaces (I2C, SPI, Ethernet, etc.)Experience in design and testing of PCB boards, including considerations for high-speed signals.Documentation and quality control: Comprehensive documentation and thorough quality control are required. Bonus Technical Skills (Experience in any of the following topics is advantageous):Experience in quantum communicationAnalogue electronicsTelecommunicationsTime stamping or TDCLIDARSpace electronics
Interested applicants may apply directly to the role at: https://central.sginnovate.com/hub/marketplace/openings/343d23a3-08ef-48de-8fc8-3dd1c6e5ce80?filter=ALL
This role is posted on behalf of Histoindex, a startup supported by SGInnovate.
BackgroundWe are seeking a Data Analyst to support the post-processing and analysis of imaging data, contributing to clinical and pathological assessments. This role is ideal for candidates with foundational knowledge in medical imaging technologies and a keen interest in applying analytical skills to real-world clinical data. This position provides a valuable opportunity to develop and apply expertise in medical image analysis, contributing to critical clinical research and diagnostic projects.
Job scopeData Processing Support:Assist in the processing and analysis of imaging data for clinical and pathologist review.
Collaboration and Coordination:Collaborate within the research team to execute data-driven projects. This includes helping to prepare summary statistics, tabulations, and graphical representations of data.
Data Management:Support the proper formatting and reporting of data to ensure compatibility with medical platforms. This includes networking data to designated workstations and assisting in the verification of image and data validity. Ensure compliance with clinical data management requirements.
Quantitative Measurements:Conduct quantitative measurements on Second Harmonic Generation/Two-Photon Excitation Fluorescence (SHG/TPEF) images under supervision.
Project Support:Participate in various research and analysis projects, leading and optimizing data analysis efforts.
Required Qualifications:Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.No experience is required. However, 1–2 years of experience in data analysis and familiarity with medical imaging is preferred.Proficient in Matlab, Python, SPSS or SAS.Read, write and speak fluent English; excellent verbal and written communication skillsStrong organizational skills and ability to manage multiple tasks simultaneously.Good communication skills and ability to work effectively in a team environment.Eagerness to learn from senior staff and improve data analysis skills.
Interested applicants may apply directly to DTC at: https://central.sginnovate.com/hub/marketplace/openings/2c5ad963-1d0d-4f81-93c5-85fce333f6f9
This role is posted on behalf of Augmentus, a startup supported by SGInnovate.
BackgroundAugmentus is a leading provider of robotic programming solutions that simplify and streamline traditionally complex industrial automation processes. Our innovative solution integrates cutting-edge features like 3D scanning, automated path optimization, and seamless robot code generation to make programming accessible and efficient for manufacturers handling high-mix, high-part complexity operations. Trusted by global leaders in industries such as media blasting, painting, and welding, Augmentus empowers companies to achieve scalability, reliability, and superior operational efficiency. Join us to revolutionize the future of robotics and automation.
Job scopeWhat You Will DoDesign, develop, and maintain software components across backend services and system-level modulesApply sound software architecture and system design principles to real-world problemsImplement efficient algorithms and data structures with attention to performance and reliabilityCollaborate with product, robotics, and platform teams to translate requirements into technical solutionsDebug, test, and improve existing systems to ensure robustness and scalabilityContribute to technical discussions, design reviews, and code reviews
RequirementsBachelor’s or Master’s degree in Computer Science, Engineering or a related fieldStrong fundamentals in computer science, including algorithms, data structures, and system designStrong proficiency in C# and Python is preferred; working knowledge of C++ or Java is a plusExposure to backend development; full-stack experience is a plusAbility to reason about software architecture, modularity, and maintainabilityA portfolio demonstrating your work (e.g. GitHub, personal website, or relevant projects)
Good to HaveExperience with web frameworks, APIs, or distributed systemsFamiliarity with databases, cloud services, or containerized environmentsPrior exposure to robotics, automation, or industrial software systemsExperience with AI-assisted development tools (e.g. Claude workflows, AI code assistants) to enhance developer productivity is advantageous.
Interested applicants may apply directly to DTC at: https://central.sginnovate.com/hub/marketplace/openings/eda9c14d-c45b-44d8-b970-a4460c8ab61a
This role is posted on behalf of Mesh Bio, a startup supported by SGInnovate.
BackgroundMesh Bio is a leading digital health company revolutionizing healthcare delivery through advanced analytics solutions. Mesh Bio has received international recognition and accolades. Our platform leverages predictive models to improve patient outcomes, helping healthcare providers offer more personalized, data-driven care. We are looking for an experienced professional to lead the deployment of our cutting-edge software solutions to healthcare providers.
Job scopeThe Engineering Manager at Mesh Bio, will lead a team of software engineers to design, develop, and deliver high-quality, scalable healthtech solutions. The Manager will work closely with product managers, designers, quality assurance, and commercial teams to translate business requirements into robust technical solutions that align with the company’s strategic goals.Lead, mentor, and manage a team of software engineers to ensure timely and successful delivery of product features and updates.Collaborate cross-functionally with product, design, commercial, and customer success teams to align engineering efforts with business objectives.Translate product and user requirements into clear technical specifications, sprint plans, and development tasks.Oversee the planning, design, implementation, and deployment of software projects using agile methodologies.Promote best practices in software development, including code quality, testing, documentation, CI/CD, and version control.Identify and resolve technical risks or challenges that could impact delivery timelines or product performance.Facilitate technical discussions, architectural planning, and decisions to support scalable and secure product development.Ensure functional and data consistency in design and coding practices within the solution and with external integrations.Support ongoing performance reviews, skills development, and career progression of the engineering team.Ensure the implementation of data privacy, security standards (e.g., ISO27001, HIPAA), and compliance requirements.Stay up to date with new technologies and drive continuous improvement in engineering practices.Any Ad Hoc work related tasks as mutually agreed with immediate superior.
Job RequirementsBachelor’s or Master’s degree in Computer Science, Engineering, or related STEM discipline.5–10 years of experience in software engineering with at least 2–3 years in a team leadership or management role.Strong technical background in full-stack software development and familiarity with modern development frameworks.Proven experience leading engineering teams in agile environments.Proven experience managing engineering teams in a distributed team environment.Hands-on experience using AI-assisted development tools (e.g., Gemini, Claude etc) in software development workflows, tools and infrastructure servicesStrong interpersonal and communication skills; able to bridge the gap between technical and non-technical stakeholders.Experience in healthtech or regulated industries and familiarity with healthcare standards e.g. HL7, FHIR, OMOP a plusSelf-driven, adaptable, and able to thrive in a dynamic startup environment.
Authority:(authorities given to staff with this role)Approve engineering tasks, development workflows, and technical design reviews.Lead engineering planning and sprint execution.Recommend hiring and career development for engineering team members.Contribute to decisions related to DevOps, quality control, and information security in collaboration with leadership.
Interested candidates may apply directly to DTC at: https://central.sginnovate.com/hub/marketplace/openings/ca23844c-32b6-4be4-a1ae-1cb903234a99
This role is posted on behalf of LambdAI Space, a startup supported by SGInnovate.
BackgroundLambdAI Space is a deep-tech company building scalable climate intelligence from satellite data. We work with insurers, financial institutions, governments, and infrastructure operators to detect, quantify, and prevent climate-related risks at scale. Our core technology combines multi-sensor Earth observation data with physics-informed machine-learning models to deliver cost-effective, high-precision insights across large geographies.
The Machine Learning function plays a central role in transforming raw satellite imagery into production-ready models that power our products. The team’s objective is not only to develop accurate models, but to ensure they are robust, testable, and deployable in real-world environments. This includes building end-to-end pipelines covering data preparation, training, validation, deployment, and monitoring.
As a Junior ML Scientist, you will join a small, highly technical team working closely with senior ML scientists, engineers, and product stakeholders. The goal of the team is to move fast while maintaining engineering discipline: shipping models into production, iterating based on feedback, and continuously improving performance and scalability. This role is hands-on and impact-driven, with direct exposure to production systems and real customer use cases.
Job scopeKey ResponsibilitiesImplement, train, and validate ML models for optical and radar satellite imagery.Build clean, modular training and inference pipelines (PyTorch/TensorFlow).Work with engineering to deploy models into production (Docker, CI/CD).Support data preparation: tiling, preprocessing, augmentation, metadata cleaning.Write tests (unit + integration) and maintain model performance dashboards.Collaborate with senior scientists on R&D tasks such as model improvement, feature engineering, and synthetic data workflows.Run experiments, document results, and communicate findings clearly.
Minimum QualificationsMSc in Machine Learning, Computer Vision, Remote Sensing, Data Science, or related field – OR strong project/portfolio experience.Solid programming skills in Python, with experience using PyTorch or TensorFlow.Understanding of convolutional models, transformers/attention, or change-detection techniques.Some exposure to geospatial workflows (e.g., Rasterio, GDAL, QGIS) or willingness to learn quickly.Basic experience using Git, Docker, or cloud environments (AWS/GCP).Comfort working with large datasets and debugging data issues.Good written and spoken English.
Preferred (Nice-to-Have)Hands-on experience with satellite or aerial imagery projects.Familiarity with SAR data or multi-modal fusion.Experience pushing models to production (CI/CD, containers).Basic understanding of ONNX, model optimisation, or GPU workflows.Experience with synthetic data generation or augmentation strategies.Curiosity for climate resilience, environmental monitoring, insurance, or earth observation.
Interested applicants may apply directly to DTC at: https://central.sginnovate.com/hub/marketplace/openings/bf0b56c8-6c4e-4404-8718-cbf951a2e1d9
This role is posted on behalf of Resaro.AI, a startup supported by SGInnovate.
BackgroundResaro was founded on the belief that AI will change the world in ways we cannot even imagine, but every new technology needs safeguards to advance. About the Role We are looking for an AI Scientist with a deep foundation in Machine Learning and a passion for the frontiers of Reinforcement Learning. This is a 12-month contract position. You will be responsible for building a robust framework to stress-test and audit Reinforcement Learning systems, making sure they are fit for purpose and safe to be deployed. We value strong technical ability and real world experience and there will be room to solve challenging problems and adopt cutting edge technology into business applications.
Job scopeYOU WILLImplement Reinforcement Learning Evaluation: Execute a dedicated work plan to build frameworks that evaluate the performance, safety, and alignment of RL agents.Build Uncertainty-Aware Tools: Use Bayesian ML models (GPs, BNNs) to create metrics for model confidence and risk.Develop Testing Infrastructure: Design and set up the debugging and automated testing frameworks required to evaluate non-deterministic systems.Execute Technical Evaluations: Perform "red-team" tests and benchmarks on models usingTrust Region methods (PPO) and RL from Human Feedback (RLHF).Master the RL Stack: Work across the entire stack, from environment interfacing to policy optimization, with the opportunity to grow into Multi-Agent RL (MARL) technologies.
YOU ARE ABLE TOExecute with Precision: Take high-level theoretical designs and turn them into clean, production-ready code.Think from First Principles: Use your technical background to solve challenging problems from the ground up.Collaborate & Learn: Work effectively under senior mentorship to adopt new research into business applications.Navigate Uncertainty: Thrive in a fast-paced environment where the mission of AI safety is paramount.
YOU HAVEMastery of the ML Stack: Strong proficiency in Python, NumPy, and PyTorch.Theoretical Foundation: A background in ML theory, Mathematics, or Physics.Bayesian Knowledge: Experience with Bayesian ML models (e.g., Gaussian Processes, Bayesian Neural Networks).RL Specialization: Practical experience or familiarity with Trust Region methods (PPO) and RL from Human Feedback (RLHF).Engineering Rigor: Proven ability in debugging and setting up automated testing frameworks.
NICE TO HAVEKnowledge of Multi-Agent RL (MARL) technology.Interest in applied research on the safe and responsible use of AI.
ABOUT USResaro is a global AI Assurance company, pioneering the field of AI testing and evaluation. We are a team of AI experts, engineers, and data scientists. Our mission is to ensure an AI market worthy of trust.
Resaro is an Equal Opportunity Employer. We respect each individual and support the diverse cultures, perspectives, skills and experiences within our teams.
Interested applicants may apply directly to DTC at: https://central.sginnovate.com/hub/marketplace/openings/1522b5ab-0c8f-442f-863c-5227a1d6f3e2
This role is posted on behalf of Chemlex, a startup supported by SGInnovate.
BackgroundChemLex, founded by an interdisciplinary team in 2022, focuses on the disruption of chemical synthesis via its proprietary end-to-end high-throughput fully-automated platform powered by AI algorithms. Compared to traditional chemical synthesis via manual operations, our robotic platform not only improves the efficiency of chemical synthesis but also reduces cost and provides significant ESG benefit via our quantitative green chemistry system. Through this innovative platform ChemLex provides chemical synthesis services to global customers in the pharmaceutical, and other chemical industries. We are seeking motivated scientists, engineers and support staff to help establish a new R&D and production facility in Singapore which will house our fully-automated platform. We want to hear from enthusiastic applicants who have an interest in AI and automation and are energised by the idea of working in a start-up environment.
About the roleWe are looking for an Electrical Engineer to work at our new automated R&D and production facility in Singapore. As a new business in Singapore the right candidate will have the opportunity to grow as the company does, working at the forefront of AI & automation in the pharmaceutical and chemical synthesis industry.
The Electrical Engineer will be responsible for the operation and maintenance of all automated hardware on site, as well as the design and installation of new systems. As a fast-paced, disruptive business, the ideal candidate will be flexible and agile, able to problem solve effectively and quickly.
Key responsibilities
Design overall electrical solutions and select electrical components.Develop and debug PLC programs, design and debug HMI, assemble and debug electromechanical systems, and perform network communication debugging.Design and produce electrical control cabinet drawings.Oversee system installation, commissioning, and preparation of technical documents and related drawings.Communicate with electrical system suppliers on technical matters.
Necessary qualifications and qualities
Bachelor’s degree or above in Control, Electrical Engineering, Automation, or a related field.At least 3 years of experience in electrical design.Proficient in using design tools such as AutoCAD and EPLAN.Strong knowledge of servo control, stepper motor control, and familiarity with robotic motion control.Proficient in PLC programming and hardware, with independent development and design capabilities. Familiar with motor, sensor, and other automation component selection and application.Strong verbal and written communication skills, along with good teamwork and collaboration abilities.Fluency in English speaking, reading and writing.Willingness to travel internationally for training.
Interested applicants may apply directly to DTC at:https://central.sginnovate.com/hub/marketplace/openings/3fbf8fba-c391-4299-8ea3-1f568fdc8282
This project is with Factorem, a startup supported by SGInnovate under the PowerX Programme.
PowerX is a 12-months traineeship programme designed to enable and create Deep Tech career opportunities for working professionals, combining bespoke training and industry experience.
Factorem is Southeast Asia’s first one-stop portal to custom manufacturing. Factorem helps R&D teams get manufactured parts on-demand from the best, trusted suppliers. Launched during the COVID pandemic in 2020, Factorem has developed a proprietary AI-driven platform to bridge the gap between innovators who need custom parts (with no MOQ required) and factories who can deliver the service.
As an Algorithm Engineer, you’ll be joining a team of like-minded, fun & creative individuals transforming a traditional space. We are looking for an independent go-getter with a passion to continuously improve processes and work with various stakeholders to create robust software solutions. Given the lean team, you can expect to interact directly with experts from other domains (Engineering, Product, Business Development, etc). You will also have opportunities to deeply engage with internal and external stakeholders in mobilizing change and driving commercial success in a fast-paced startup environment.
ResponsibilitiesCollaborate with a blend of C++, Python, Java and other industry-standard tools, applying software engineering best practices to deliver high-quality results.Own and develop intelligent algorithms capable of learning, analyzing and predicting the outcomes required by the various Factorem’s R&D pillars.Utilize geometric analysis, feature detection, and design rule checks to automate manufacturing decisions and offer valuable insights to the clients.Create and own agentic workflows that automate complex processes and unlock operational efficiency at scale.Compile and tabulate numeric data to be used in re-training of Factorem’s R&D pillarsConvert algorithms into APIs with which the Factorem Platform may interactPerform user testing and validation to ensure relevance and usability of technologiesPresent learnings and automation ideas to the teamWork closely across functional groups to discover and own useful automations for the team RequirementsBachelor’s degree in Mechanical Engineering, Computer Science, Mathematics, or related technical fieldExcellent problem-solving and analytical skillsExperience programming in Python, driven, motivated and independent learnerA passion in building amazing technologies from scratch
Preferred (but not a must)Familiar with MacOS/Linux environmentExperience working and growing alongside startupsExperience in computer vision, image processing or numerical data based ML modelingExperience with CAD modeling, mechanical engineering, manufacturing technologies
