Total 2,192 Science / R&D / Research job vacancies

Work with business unit marketing and IC design teams to select the optimum package solution on cost, performance, manufacturability, and reliability for new advanced silicon node products (5nm, 3nm, 2nm and beyond)

• Work with IC design, system design, package SI/PI & thermal engineering teams to design custom packages

• Ensure designed packages meet CPI, SI/PI, and stringent thermal requirements (1000sW+) of advanced node cutting edge silicon products

• Research, develop, and productize new materials such as TIM, build-up-film, underfill etc. in support advanced node silicon (5nm & 3/2nm) POR definition

• Manage IC packaging activity from concept through development, qualification and high volume production

• Be a specialist and able to define assembly BOM, process, troubleshoot, support on packaging issues on new advanced technology

• Implement, fine-tune, and productize newly developed technologies into HVM

• Create package design documentation and assembly instructions

• Work close with QA and customers to resolve quality issues

• Interface with packaging assembly and substrate suppliers for new product bring-up, qualification and production ramp

• Interface with other operations functional groups such as product engineering, foundry, test, and QA

• Participate in package technology development and/or other business productivity projects which have broad team impact (e.g. assembly process enhancement, new TIM material development etc.)

• Interface with tier #1 external customers for custom ASIC programs or as needed for development support, quality and/or other issue resolution

• Support NPI bring-up, pkg qual, and sustain support in production + multi-source activities for capacity, cost, & manufacturing flexibility needs

Job Requirements

• Education: BS/MS/PHD in STEM/Material Science/Electrical/Mechanical Engineering

• Experience: BS +8 years of experience or MS +6 years of experience or PhD + 3 years of experience is required

• Deep understanding of signal integrity and power integrity concepts such as characteristic impedance, s-parameters (RL, IL, FEXT/NEXT etc.), power plane impedance profile requirements and optimization etc.

• Strong authority on Cadence APD for custom substrate design

• Hands-on expertise of advanced and new assembly processes for flipchip, MCM packages, and 2.5D for advanced node silicon products (5nm, 3/2nm and beyond)

• Good understanding of materials as related to Chip Packaging Interaction (CPI)

• Familiarity with wafer BEOL as related to CPI (top metal, AP, passivation, UBM, bumping etc.)

• Knowledge of advanced substrate manufacturing/process is a must (e.g. SAP/mSAP, PSPI w/ Cu RDL etc.)

• In depth knowledge of failure analysis techniques on advanced node silicon (5nm, 3/2nm etc.) products with ELK and MiM structures

• Conceptual knowledge of package cost structure

• Strong project management, communication and leadership skills

• Must have knowledge of GD&T and be able to read/comprehend mechanical drawings

• Good understanding of manufacturing and quality engineering fundamentals (DOE, process capability indices, etc.)

• Job requirements are broad; the candidate must be able to expand and grow in multiple disciplines (manufacturing/quality, materials, electrical, thermal, and mechanical)

• Track record of innovation and subject matter expertise through journal publications and/or patent awards is desired

• Familiarity with advanced technologies such as 2.5D, 3DIC, glass substrate etc.

About Us
LITEON is a world‑leadingprovider of optoelectronic semiconductor components and power management solutions. At LITEON, people are at the heart of our success. We foster a supportive, inclusive, and empowering culture where engineers are encouraged to learn, experiment, and grow alongside experienced industry professionals.

About the Role
We are seeking a Junior Power Electronics Research Engineer to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. This role is ideal for early‑career engineers with up to 3 years of experience who are eager to build strong fundamentals in power electronics research and development.

You will work closely with senior researchers and engineers on early‑stage research and proof‑of‑concept projects that support the future of data centre, cloud, and AI infrastructure technology. This role offers structured mentorship, hands‑on lab exposure, andthe opportunity to develop into a specialist or technical leader over time.

Key Responsibilities

• Research & Learning
  - Conduct literature reviews and technical studies on power electronics topologies, components, and control concepts.
  - Learn and explore emerging technologies related to data centre and cloud power systems.
  
• Concept Development
  - Assist in identifying technical challenges, future needs, and market opportunities.
  - Support the generation and evaluation of multiple design concepts under guidance from senior engineers.
• Design & Simulation
  - Create circuit designs an system block diagramsPerform simulations using tools such as MATLAB, Simulink, LTspice, or Python to validate concepts.
• Prototyping & Testing
  - Support the construction of proof‑of‑concept hardware prototypes.
  - Perform lab testing using oscilloscopes, electronic loads, and power analysers.
  - Assist in debugging and performance evaluation.
• Documentation & Communication
  - Contribute to technical reports, design documentation, and performance summaries.
  - Support patent disclosures and internal knowledge sharing activities.

Requirements

• Bachelor’s, Master’s, or PhD degree (or near completion) in Electrical / Electronics Engineering or a related discipline.
• 0–3 years of experience in power electronics, hardware design, or related engineering roles.
• Basic understanding of power electronic architectures such as AC/DC and DC/DC converters.
• Exposure to schematic design, datasheets, and PCB layouts (academic or industry projects welcome).
• Familiarity with simulation tools (MATLAB, Simulink, LTspice, or similar).
• Interest in wide‑bandgap devices (SiC / GaN), magnetics, EMI, or thermal design is an advantage but not mandatory.
• Willingness to learn, strong problem‑solving skills, and good communication abilities.
• Hands‑on mindset with enthusiasm for laboratory work and experimentation.
• Fresh graduates with strong project or research experience are encouraged to apply.

Why Join LITEON

• Attractive Remuneration Package
  - Competitive salary package benchmarked to market standards
  - Performance bonuses and comprehensive benefits
  
• Overseas Training Opportunity
  - 2‑month overseas training attachment at one of LITEON’s global R&D sites
  - Exposure to international teams, advanced facilities, and real‑world product development
  
• Structured Development & Mentorship
  - Close guidance from experienced researchers and senior engineers
  - Clear technical growth pathway from junior to advanced engineering roles
  
• World‑Class R&D Environment
  - Well‑equipped laboratories and modern development tools
  - Opportunities to contribute to publications, patents, and future technology platforms
  
• Meaningful Impact
  - Be part of innovations shaping energy‑efficient data centres, cloud computing, and AI infrastructure

• Fully-Funded PhD Positions – Synthetic Data Generation
• Fully-Funded PhD Positions – Agentic AI & Edge Computing
• Fully-Funded PhD Positions – Small Multimodal Models

Reolink via Industrial Postgraduate Programme (IPP)

• We currently have three research topics available for postgraduate students interested in exploring these opportunities.

About Reolink

Reolink is a leading AI video security camera firm based in Singapore, driving innovation in intelligent visual technology for both home and business. Founded in 2009, our products are trusted by millions of users across more than 110 countries. At the forefront of smart surveillance, Reolink develops cutting-edge unified AI systems—such as Reon Eura—engineered to deliver superior on-device object recognition, predictive risk assessment, and intelligent contextual analysis. We are committed to pushing the boundaries of edge computing, computer vision, and autonomous AI to create the next generation of reliable, user-centric security applications.

Programme Structure (IPP) Successful candidates will be full-time salaried employees at Reolink (the partnering company) while simultaneously pursuing full-time graduate studies (PhD) at NTU & NUS. Reolink is a rapidly growing tech company with strong international presence.

This unique arrangement offers:

• Competitive monthly salary + full PhD tuition coverage.
• Hands-on industry experience alongside academic research.
• Joint supervision by NTU / NUS faculty and Reolink R&D leaders.
• Direct application of research to real-world AI and computer vision products.

Opportunity for Postgraduate individual that eager to pursue a PhD while simultaneously maintaining a full-time position in the industry.

• Candidates must be strong in software engineering

• A Bachelor's degree or Master's in Computer Science, Software Engineering, Computer Engineering, or a related field.
• Excellent programming skills ( Python, C++ and deep learning frameworks such as PyTorch / TensorFlow).
• Solid understanding of software design, system integration, and deployment best practices.
• Strong analytical and mathematical foundation.

Head of Science (Primary school level)

Working days & hours :
Centre days: 44 hours per week ; 4 weekday (1030AM-730PM / 1230PM - 930PM) + 1 weekend (830AM - 630PM)
HQ days (Meeting): Weekdays 930AM to 630PM 

Working location: Toa Payoh, travel to Woodleigh Mall to support the launch of new classes (including at least one new class) & HQ (Guthrie House - Bukit Timah)

Salary: $5000- $7500

Report to: Managing Director 

Role Overview: We are hiring a Head of Science (Primary) to lead and strengthen a structured P3‒P6 Science programme.

This is a hands-on leadership role combining curriculum ownership, teaching, and teacher development. The role operates within an existing programme framework and is responsible for refining, improving, and scaling it to ensure consistent teaching quality and strong student outcomes across centres.

This role is critical in ensuring the programme delivers reliable results beyond individual teachers, with clear ownership over curriculum standards, teaching consistency, and overall programme effectiveness.

We’re looking for someone who can take a structured primary science programme, ensure consistent quality, and successfully roll it out across multiple centres.

Job Responsibilities: 

• Oversee and refine the P3‒P6 science curriculum, ensuring alignment with MOE syllabus and PSLE requirements
• Develop structured teaching approaches to ensure consistent lesson delivery
• Monitor student progress and continuously improve programme outcomes
• Engage parents through clear communication on student development
• Support trial classes and contribute to enrolment growth
• Teach 4‒6 classes per week, including at least 1 weekend, with teaching load adjusted as the teaching team expands
• Hire and train teachers to deliver high-quality lessons

Requirement:

• Degree in Science or related field (MOE/NIE-trained preferred
• Minimum 5‒8 years of Primary Science teaching experience.
• Proven track record of improving student outcomes. 
• Experience in curriculum development, mentoring, or academic leadership is advantageous. 
• Comfortable with weekend work and centre-based environment

WhatsApp me your resume for quicker processing! ☺️
WhatsApp: https://wa.me/6596112291 (Kyra)
Voon Yih Boon Reg No: R22106724 | The Supreme HR Advisory Pte Ltd EA No: 14C7279

Quality Control Officer

Working days: 5-day work week 
Working hours: 9am to 6pm
Work location: Boon Lay
Salary: $2300 - $2800

Responsibilities:

• Ensure the food manufacturing process comply with food safety standards, specifications, and government and industry regulations.
• Assist in the implementation and maintenance of ISO 22000, FSSC 22000, Halal and SFA documentation and standards.
• Conduct routine inspections of production processes to ensure compliance with regulatory standards and perform routine in-process checks on products.
• Support regulatory inspection, customer audits and visits and to follow-up with corrective action and documents, when necessary.
• Responsible for reporting any non-conformance of products / process and timely reporting to the Executive / Manager.
• Other ad-hoc duties as required.

Requirements:

• Knows how to use MS Office.
• Able to work in chilly environment (10°C to 15°C).
• Preferably a Diploma in Food Science, Food Technology or equivalent.
• Preferably knowledgeable in local & international food safety standards

Interested applicants, WA your resume to +65 9136 9792 or email your resume to supreme.yentan@gmail.com.

Tan Yen Zhen (Chen Yan Zhen) Reg No: R25138932

The SupremeHR Advisory Pte Ltd EA No: 14C7279

Globally recognised as a leading research and technology organisation, the Nanyang Environment and Water Research Institute (NEWRI) addresses national priorities through its diverse expertise in Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modelling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative capabilities, NEWRI drives innovation in water circularity and sustainability, next-generation solid waste solutions, circular economy resource recovery, climate resilience and digitalisation.

For more details, please view https://www.ntu.edu.sg/newri.

We are looking for a Research Fellow to conduct research on membrane and separation technology for desalination, resource recovery, and decarbonization.

Key Responsibilities:

• Conduct membrane-related projects for desalination, decarbonisation, resource recovery, etc.

• Design, optimisation, construction, commissioning and operation of membrane-based desalination and water reclamation pilot-scale and lab-scale systems.

• Conduct membrane and separation process modelling, module-scale desalination system modelling, including conventional modelling and machine learning-based modelling.

• Publish research data and prepare project progress reports.

• Assist in the preparation of grant proposals.

• Mentor junior PhD students, master’s students and undergraduate students for their research projects.

Job Requirements:

• PhD degree from a reputable university in chemical engineering, environmental engineering, mechanical engineering, or a related field.

• Excellent journal paper publication record.

• Excellent report writing skills.

• Excellent oral presentation skills and multitasking skills.

• Excellent experience in design, optimisation, construction, commissioning and operation of membrane-based desalination and water reclamation systems.

• Excellent experience in membrane and separation process modelling, module-scale desalination system modelling, including conventional modelling and machine learning-based modelling.

• Relevant research experience on membrane technology and separation technologies.

• Relevant research experience on electrochemical processes and/or electrode synthesis.

• Relevant research experience in scaling up electrochemical water technology.

• Relevant research experience in the fabrication/synthesis of RO/NF/ion exchange membranes (IEMs)/organic solvent membranes and/or organic chemical synthesis, and membrane/separation process development.

• Self-motivated and able to work independently and in a team.

• Excellent interpersonal, collaboration and communication skills.

• Strong sense of responsibility for research and project delivery.

We regret to inform that only shortlisted candidates will be notified.

As a University of Applied Learning, SIT collaborates closely with industry partners in our research pursuits. Our research staff can gain practical research skills that are directly relevant to industry needs while working on projects at SIT.

Key Responsibilities

• Design and develop a prototype of an Artificial Intelligence (AI) model with deep learning algorithm to detect, distinguish and identify complex sensing signals in 
  maritime space.
• Conduct literature review on deep learning algorithm for complex signals.
• Design and develop a prototype for maritime sensing
• Conduct trials and experiments to determine the success of the prototype, 
• Propose and develop trials and experiments acceptance test steps/procedures, 
• Process and analyse the data gathered from the trial and experiments.
• Prepare the final report on the trial and experiments conducted with details covering findings and analysis, as well as the recommended way ahead.
• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Have relevant competence in the areas of sensing, system modeling, simulation testing for both hardware and software, experimental prototyping and testing.
• Have a degree in engineering / applied physics, electrical, mechanical, marine, computer engineering or equivalent.

Key Competencies

• Good knowledge in system modeling, programming, simulations, data analytics, experimental prototype.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

We are looking for a Research Engineer to design and develop an advanced multi-source knowledge fusion framework that leverages Large Language Models (LLMs) and other AI techniques. The role will focus on constructing, merging, and maintaining domain-specific knowledge graphs to harmonize heterogeneous data, specifically applying these technologies to support research and decision-making on critical environmental issues.

Key Responsibilities:

• Knowledge graph construction and maintenance: Build, merge, and maintain scalable, domain-specific knowledge graphs, ensuring they adapt to dynamic data evolution and continuous updates.

• Data integration and harmonization: Develop robust pipelines to ingest, clean, and integrate heterogeneous data from diverse and inconsistent sources into a unified graph structure.

• Collaborative research: Work closely with a multidisciplinary team of researchers to define data requirements, align technical deliverables with project goals, and apply the knowledge graph framework to solve complex environmental challenges.

Job Requirements:

• Bachelor / Master degree in computer science or related field

• Familiarity with ESG (Environmental, Social and Governance) regulations and standards

• Good written and oral communication skills

• Proficiency in Python and cloud computing

• Team player and able to develop solutions under strict timelines with other researchers  

• Entry level candidates are welcome to apply

We regret to inform that only shortlisted candidates will be notified.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

We are looking for a Research Fellow to support the research on Integrated Sensing and Communications (ISAC) with Reconfigurable Intelligent Metasurfaces (RIS).

Key Responsibilities:

• Design the algorithm for Integrated Sensing and Communications (ISAC).

• Utilizing advanced antenna techniques, e.g. Reconfigurable Intelligent Metasurfaces (RIS), or Stacked Intelligent Metasurfaces (SIM).

• Conduct simulation and perform experiment in some scenarios.

• Document research outcome to publish at top international conference / journal.

• Write report for the project progress.

• Work with other research fellow and PhD students for the system development.

Job Requirements:

• PhD degree in Electrical and Electronic Engineering, or related field.

• Good publication record.

• Have prior experience in conducting experiments is a plus.

• A thorough knowledge of the ISAC, RIS is highly preferred.

• Excellent interpersonal communication and presentation skills

We regret to inform you that only shortlisted candidates will be notified.

Role Overview:

We know stepping into teaching can feel overwhelming — that’s why at Achievers Dream, we invest heavily in your success from Day 1.

• You’ll start with our proven, research-backed 5-Stage Teacher Training System
• Receive step-by-step guidance from experienced mentors
• Learn exactly how to deliver effective lessons and guide students — no guesswork
• Progress at a structured pace, with constant support and feedback

Once you’re confident and ready, you’ll officially step into your role as a Science Teacher, where your main focus will be:

• Teaching upper primary / lower sec students in group class settings

• Conducting both classroom lessons and hands-on lab sessions in our NEA-approved Chemistry Lab

• Helping students truly understand Science — not just memorise

• Focusing solely on teaching — with minimal admin work (our support team handles the backend)

We’re looking for someone who is:


• Patient, reliable, and committed to students’ improvement

• Passionate about teaching — not interested in research or excessive admin

• Eager to grow, learn, and become a respected Science Specialist

• Someone who respects work life balance and giving 100% at work.
• Teaching or tutoring experience will be a bonus as training will be provided
• Detail-oriented in marking and student feedback
• Team player who is dependable and willing to help when needed

Work Schedule & Location

Outlets: Bukit Timah, Lorong Chuan, Kembangan

• Option 1: 4 weekdays (1:00pm–9:00pm) + 1 weekend (8:30am–6:30pm)
• Option 2: 3 weekdays (1:00pm–9:00pm) + 2 weekends (8:30am–6:30pm)

For interested applicants, kindly send your updated resume to us and we will contact you for a competency test and interview. We regret that only shortlisted candidates will be contacted.

About Asimov
Asimov is Menlo's flagship open source humanoid robotics initiative. We are building every layer of the stack, from precision mechanical structures, injection molded plastics, and die cast components to actuators, sensors, control hardware, firmware, and AI.

The Role
As a Mechanical Engineer, you will own the conception, CAD modeling, and industrialization of humanoid components across the full body. You will translate early concepts into robust, production ready designs, guide prototype builds, and partner with suppliers to ramp tooling and volume manufacturing. This is a high ownership role where your design decisions will directly determine how Asimov moves, holds up, and scales.

What You'll Do

• Develop detailed 3D part and assembly models across plastics, sheet metal, die cast, and composite materials in CATIA or equivalent CAD tools.
• Drive rapid prototyping by overseeing 3D printing, CNC machining, and initial fit check assemblies, iterating quickly from concept to physical hardware.
• Perform tolerance studies, FEA, and kinematic simulations to validate stiffness, strength, and lifetime requirements across joints and structural members.
• Create accurate production drawings with GD&T annotations and critical inspection call outs for manufacturing and QA handoff.
• Conduct DFM reviews with contract manufacturers and tooling partners, refining designs for cost, cycle time, and quality at low to medium volume.
• Work alongside electrical, firmware, and validation teams to integrate mechanical systems with sensors, wiring harnesses, and PCBA enclosures.
• Define mechanical test protocols, analyze failure modes, and iterate designs based on test data and reliability metrics.
• Contribute to Menlo's open source design efforts, including CAD releases, manufacturing documentation, and build guides for the broader robotics community.

What You'll Bring

• 3 or more years of hands on mechanical design experience for high complexity electromechanical products.
• Expert proficiency in CATIA V5/V6, with strong ability to produce both detailed parts and multibody assemblies.
• Proven track record with plastic injection molding, sheet metal fabrication, and die casting processes.
• Solid understanding of GD&T and the ability to produce 2D engineering drawings for manufacturing and QA.
• Experience running FEA simulations across stress, thermal, and modal analyses, and interpreting results to inform design decisions.
• Ability to work within aggressive cost and weight constraints, making principled tradeoffs without sacrificing reliability.
• Strong communication skills to drive alignment across suppliers, cross disciplinary engineers, and leadership.

Bonus Points

• Experience with bipedal or humanoid robot hardware, legged locomotion platforms, or high DOF manipulators.
• Familiarity with parallel mechanisms and non standard joint configurations such as RSU ankle designs or parallel actuation.
• Knowledge of plastics engineering including material selection, shrinkage factors, and mechanical property optimization.
• Scripting or automation experience in Python to streamline CAD workflows and data analysis.
• Familiarity with MATLAB for system level modeling and tolerance stack ups.
• Hands on background with rapid iteration prototyping tools including 3D printers, laser cutters, and CNC mills.
• Prior involvement in robotics or wearable systems where mechanical tolerances and ergonomics are critical.
• Familiarity with CAN bus, motor controllers, and how mechanical design choices affect firmware and control integration.
• Familiarity with sim to real workflows and how hardware decisions affect locomotion policy training and transfer.

Why Join Menlo?
You’ll be part of a tight-knit team defining the next generation of humanoid robots. With genuine ownership of system architecture and the freedom to innovate, you’ll see your designs come to life in real-world deployments. If you thrive in fast-paced, open-collaborative environments, let’s build the future of robotics together.

About Asimov
Asimov is Menlo's open source humanoid robotics platform, building every layer from structural frames and electromechanical assemblies to power electronics, embedded control hardware, firmware, and AI. We also build Jan, our open source AI assistant used by millions of developers worldwide. Our goal is to democratize advanced robotics and AI by sharing designs, models, and infrastructure with the global community.

The Role
We are looking for a Platform Lead to own and evolve the full infrastructure stack that powers both our humanoid robotics fleet and our developer facing AI platform. This is a senior technical leadership role sitting at the intersection of distributed systems, high performance APIs, and production AI infrastructure. You will work directly with the founders and technical leadership to design systems that let hundreds of robots learn and act as one, while also enabling developers and partners to build on top of Menlo's intelligent platform. If you thrive on hard technical problems at massive scale and want genuine ownership over platform architecture, this role is for you.

What You'll Do

• Architect and scale distributed systems that handle petabytes of sensory, telemetry, and control data across cloud and edge environments, connecting fleets of robots in real time.
• Design and build the Menlo API Platform, delivering high reliability, world class developer experience, and production grade multimodal AI capabilities via intuitive APIs and SDKs.
• Build large scale training and inference platforms for multimodal foundation models powering robot autonomy, teleoperation, and developer integrations.
• Design data ingestion and streaming pipelines connecting robot fleets to the cloud in real time, covering video, LiDAR, joint states, and audio.
• Manage and evolve a modern cloud native infrastructure stack using Kubernetes, Docker, and infrastructure as code tooling.
• Ensure platform reliability through telemetry, monitoring, alerting, autoscaling, failover, and disaster recovery mechanisms.
• Lead infrastructure decisions spanning distributed storage, consensus protocols, GPU orchestration, network reliability, and API security.
• Collaborate across ML, robotics, and product teams to support hardware in the loop simulation, policy rollout, continuous learning, and CI/CD workflows.
• Implement secure APIs with fine grained access control, usage metering, rate limiting, and billing integration as we scale to serve millions of users.

What You'll Bring

• 7 or more years of professional software engineering experience with deep expertise in distributed systems, backend infrastructure, or data platforms.
• Proven ability to build and operate production grade systems handling massive scale and mission critical workloads.
• Proficiency in Go, Rust, C++, Python, or TypeScript, with strong fundamentals in concurrency, networking, and systems performance.
• Deep experience with cloud native architectures including Kubernetes, Docker, Helm, gRPC, Kafka, Ray, and service mesh technologies such as Istio or Linkerd.
• Strong understanding of API architecture and design patterns including REST, gRPC, WebSockets, OAuth2, and OpenAPI.
• Experience with databases spanning PostgreSQL, Redis, and modern vector databases such as Pinecone, Weaviate, or FAISS.
• Strong understanding of data consistency, replication, and fault tolerance across heterogeneous environments.
• Familiarity with observability tooling such as Prometheus, Grafana, Datadog, or OpenTelemetry applied to large scale production systems.

Bonus Points

• Experience building distributed training, large scale simulation, or fleet scale telemetry systems.
• Familiarity with real time robotics workloads including streaming from physical sensors and actuators.
• Experience with MLOps tools and AI workflows including model versioning, inference pipelines, and model registries.
• Knowledge of billing systems, quota enforcement, chargeback models, and multi tenant security and isolation.
• Prior experience on developer platforms or API products with a strong focus on developer UX and documentation.
• Contributions to open source infrastructure, AI frameworks, or robotics middleware such as ROS, gRPC, or Mediasoup.

Why Join Menlo? 
You will be part of a tight knit team defining the next generation of humanoid robots and open AI infrastructure. With genuine ownership over platform architecture and the freedom to make bold technical decisions, you will see your systems power real robots in real world deployments. If you thrive in fast paced, open collaborative environments and want to build infrastructure that actually matters, let's build the future of robotics together.

The Research and Development (R&D) Chef creates new recipes to improve food product from the organisation. Ready to designs new recipes in consideration of ideas and market demand for new products. Ready to improves recipes and preparation methods to meet mass production and regulatory needs. Ready to helps to design marketing strategies based on candidate approach and ideas in creating new products.

Candidate should skilled in culinary arts and is experienced in the Food and Beverage (F&B) sector. Candidate works in a kitchen or laboratory. Candidate has good knowledge on food science and is familiar with nutrition and mass production needs. Candidate has sound understanding of cultural and culinary trends. Candidate is very creative in developing and presenting products.

Duties and Responsibilities

• Assist in data gathering for new product specifications.

• Confirm product formulations and other information for constructing product profiles.

• Create new recipes and refine taste profiles through experimentation.

• Develop ideas from food preparation processes for marketing purposes.

• Develop product improvements based on sensory testing and consumer data.

• Establish product specifications and documentations.

• Make recommendations in the design of new manufacturing processes or to change current equipment or processes.

• Modify new product recipes and ingredient selection while taking note of nutrition, shelf life and regulations.

• Plan, manage and run panel sessions and sensory tests on food products.

• Refine recipe formulation for mass production purposes.

• Review ingredients to meet customer needs and requirements.

• Review methods to improve quality of new food products and compliance with food regulations during mass production.

• Suggest alternative ingredients and food preparation processes to meet mass production and compliance needs.

• Suggest changes to new food production processes.

• Support sales team by preparing samples for local and overseas customers.

• Troubleshoot production processes to resolve production, quality and regulatory compliance issues.

Requirements and Qualifications

• Strong knowledge of food science and nutrition.

• Excellent culinary skills and creativity.

• Ability to work well under pressure.

• Strong communication and presentation skills.

• Detail-oriented with strong organizational skills.

• Ability to conduct thorough research.

• Proficiency in using kitchen equipment and tools.

• Knowledge of food safety regulations.

• Ability to work independently and as part of a team.

• Strong problem-solving skills.

• Willingness to stay updated on industry trends.

• Experience in training and mentoring staff.

• Ability to source and evaluate new ingredients.

• Degree or Diploma or minimum three years relevant work experience

• Able to work early mornings, nights, and weekends

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

For more details, please view https://www.ntu.edu.sg/mae/research.

The research associate will focus on Vision-Language Model based situation awareness and decision-making for autonomous vehicles

Key Responsibilities:

• The research associate will be leading the development of Vision-Language Model based situation awareness and decision-making models for autonomous vehicles.

• The work will involve model training, test rig set-up, and experimental validation

Job Requirements:

• The candidate must at least have a Master Degree in AI, Robotics, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, etc.

• Strong background in AI, Large Language Model, autonomous driving, deep learning, interaction modelling, prediction, robotics and automation.

• Candidates having relevant research or working experience in LLM/VLM and AI decision-making algorithms for end-to-end autonomous driving will be preferred.

• Good communications skills and the ability to work independently and facilitate projects with minimal supervision.

• Able to contribute to Journal/Conference papers with good presentation skills.

• Able to plan and organize well and adhere to deadlines

We regret to inform that only shortlisted candidates will be notified.

The Earth Observatory of Singapore (EOS) is a University Research Institute at Nanyang Technological University Singapore that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies.

For more details, please view https://earthobservatory.sg/

The Earth Observatory of Singapore (EOS) invites applications for a Research Assistant (RA) position to work on a new project as part of the Marine Climate Change Science (MCCS) Programme with the National Parks Board Singapore. This 4-year project hosted by EOS aims to quantify historical, modern and future sedimentation in Singapore’s coastal habitats and involves a variety of field, laboratory and desk-based analyses to achieve the project deliverables.

The successful applicant will be supporting the project team in a sediment monitoring programme to provide empirical measurements of vertical accretion from selected sites including mangrove forests, intertidal mudflats and seagrass meadows. Candidates with experience researching coastal environmental change involving field, laboratory and desk-based analyses are welcome to apply and demonstrate how their experience is relevant to the project.

The successful applicant will work collectively within a multi-disciplinary team of scientists at EOS and colleagues at NTU helping to produce scientific output for reports, publications, and conference presentations. This project will also work closely with an industry partner in Singapore. The position is initially available for one year with the possibility of extension based on performance.

Key Responsibilities:

• Support the project team in a sediment monitoring programme in Singapore’s coastal habitats.

• Collect sediment cores and surface sediment samples.

• Perform laboratory analyses including particle grain size, organic carbon and develop chronologies.

• Collate results for scientific reports.

• Present findings during group meetings and workshops.

• Ensure project deliverables are completed to an agreed schedule.

Job Requirements:

• Bachelor’s degree in related disciplines such as physical geography, geology, environmental science etc.

• Experience working in intertidal environments involving either field, laboratory or desk-based analyses. 

• Laboratory experience working with coastal sediments and processing results.

• Skilled in Microsoft Office applications, including Microsoft Excel, Word, and PowerPoint.

• As the position requires stakeholder engagement in English, candidate must have excellent written and oral communication skills in English.

• Demonstrated ability and enthusiasm for collaborative work within a team of international scientists and industry partners.

EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status, family responsibilities, or disability

We regret to inform that only shortlisted candidates will be notified.