Total 327 Senior Executive level Science / R&D / Research job vacancies

Senior R&D Engineer

What You'll Be Doing

Autonomous driving simulation relies on large-scale, realistic 3D environments, and building them manually doesn't scale. This role sits at the intersection of AI 3D generation and Procedural Content Generation, with the goal of automating how simulation worlds are built, from individual assets to full road-network scenes.

Job Scope:

• Research and implement AI-to-3D generation pipelines using models such as Trellis, TripoSR, Gaussian Splatting, and diffusion-based 3D approaches
• Design procedural algorithms to place and vary assets intelligently along road networks based on HD Map data
• Develop automated post-processing workflows covering retopology, UV unwrapping, texture baking, and LOD generation for real-time simulation readiness
• Leverage generative AI to produce infinite asset variations — solving the repetition problem at scale

What We're Looking For

• 5+ years of experience in 3D deep learning, procedural generation, or technical art
• Strong hands-on proficiency in at least one of: AI 3D generation (NeRF, Gaussian Splatting, Diffusion-based 3D), PCG (Houdini / Unity), or geometric processing (PyTorch3D, Trimesh, Blender Python API)
• Proficient in Python and PyTorch; C++ experience a plus
• Publications at top-tier venues (CVPR, SIGGRAPH, ICCV, NeurIPS, ECCV) are a strong advantage

If it sounds like your next move, please don’t hesitate to apply.
Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

About Us

Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.

www.dadaconsultants.com

EA Registration Number: R2197058
Business Registration Number: 201735941W.
Licence Number: 18S9037

We are seeking Scientists / Senior Scientists to advance cutting-edge research in AI Safety, with a focus on adversarial robustness, hallucination, interpretability, alignment, and ethical deployment of AI systems.

You are expected to conduct cutting-edge R&D on AI safety related projects/grants to design, develop, and evaluate novel methods to ensure AI models behave reliably and in alignment with human values These positions involve developing various AI-driven applications, systems and platforms such as for healthcare, digital economy, advanced manufacturing and public security.

Job Requirements:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong track record of research in AI Safety (e.g., publications in related conferences like ICML, NeurIPS, ICLR, AAAI, ACL, EMNLP, CVPR, ICCV, and SIGIR, or journals such as JMLR, AIJ, IJCV, IEEE Transactions and ACM Transactions).
• Proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow).
• Experience with large-scale models (LLMs, VLMs, diffusion models) .
• Excellent problem-solving, communication, and teamwork skills.
• For Senior Scientist: Demonstrated leadership in research projects and collaborations.

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.

We are seeking Scientists / Senior Scientists to advance cutting-edge research in AI Safety, with a focus on adversarial robustness, hallucination, interpretability, alignment, and ethical deployment of AI systems.

You are expected to conduct cutting-edge R&D on AI safety related projects/grants to design, develop, and evaluate novel methods to ensure AI models behave reliably and in alignment with human values These positions involve developing various AI-driven applications, systems and platforms such as for healthcare, digital economy, advanced manufacturing and public security.

Job Requirements:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field with atleast 5 years of relevant experience.
• Strong track record of research in AI Safety (e.g., publications in related conferences like ICML, NeurIPS, ICLR, AAAI, ACL, EMNLP, CVPR, ICCV, and SIGIR, or journals such as JMLR, AIJ, IJCV, IEEE Transactions and ACM Transactions).
• Proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow).
• Experience with large-scale models (LLMs, VLMs, diffusion models) .
• Excellent problem-solving, communication, and teamwork skills.
• For Senior Scientist: Demonstrated leadership in research projects and collaborations.

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.

A*STAR Centre for Frontier AI Research (A*STAR CFAR) seeks highly motivated scientists with talents and inclination to conduct cutting-edge research, develop and execute research strategies in Safe and Trustworthy AI.

Successful candidates will be responsible, but not limited to:

Job Responsibilities:

• Work with AI scientists in A*STAR CFAR to develop Safe and Trustworthy AI algorithms and solve challenging real-world problems, and publish high-impact papers to advance science.
• Work with PI Joey Zhou to execute two programmes (AISG: "Sequential Deepfake Attribution" and DTC: "Reassemble Data Before Sharing: Innovative Privacy-Preserved Data-Sharing Solutions for Cloud Services") to ensure timely delivery of project milestones with high-quality outcomes.

Requirements:

• PhD degree in Computer Science/Electrical & Electronics Engineering/Computer Engineering or equivalent.
• Atleast 5 years of relevant experience.
• High potential in securing competitive grants.
• Strong track record of research in AI. (e.g. 500+ citations from publications in related conferences like ICML, NeurIPS, ICLR, IJCAI, AAAI, KDD, ACL, EMNLP, CVPR, ICCV, or journals such as JMLR, AIJ, MLJ, IJCV, IEEE Transactions and ACM Transactions)
• Knowledge in one of the AI programming frameworks. (e.g., PyTorch, TensorFlow, JAX)
• Strong problem solving and analytical skills.
• Strong communication and presentation skills.

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs) and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health.

We are looking for AI talent at both Scientist and Engineer levels to join us. Whether you are a PhD-trained scientist pushing the frontiers of research, or an engineer with strong applied AI skills ready to build large-scale systems, you will contribute to innovations that make real impact in healthcare.

Key Responsibilities:

Research & Development

• Develop novel architectures, training strategies, and optimization methods for LLMs and multimodal foundation models.
• Advance instruction tuning, reinforcement learning (RLHF/GRPO), retrieval-augmented generation (RAG), and knowledge-grounded reasoning in medical AI.
• Design and implement multimodal learning pipelines that integrate text, imaging, omics, and real-world clinical data.

Translation & Collaboration

• Prototype AI systems for clinical and biomedical applications (e.g., decision support, conversational AI, population health, drug discovery).
• Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.
• Collaborate with industry and healthcare partners to enable translation, licensing, and commercialization.

Scientific Leadership

• Publish in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL) and high-impact biomedical journals (e.g., Nature Medicine).
• Contribute to open science initiatives (datasets, model releases, benchmarks).
• Secure funding through collaborative research proposals with academia, healthcare institutions, and industry.

Job Requirements:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
• Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL) or high-impact biomedical journals.
• Deep expertise in LLMs, foundation models, or multimodal AI.
• Strong skills in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed/HPC training.
• Experience in large-scale LLM and foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.

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.

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs) and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health.

We are looking for AI talent at both Scientist and Engineer levels to join us. Whether you are a PhD-trained scientist pushing the frontiers of research, or an engineer with strong applied AI skills ready to build large-scale systems, you will contribute to innovations that make real impact in healthcare.

Key Responsibilities:

Research & Development

• Develop novel architectures, training strategies, and optimization methods for LLMs and multimodal foundation models.
• Advance instruction tuning, reinforcement learning (RLHF/GRPO), retrieval-augmented generation (RAG), and knowledge-grounded reasoning in medical AI.
• Design and implement multimodal learning pipelines that integrate text, imaging, omics, and real-world clinical data.

Translation & Collaboration

• Prototype AI systems for clinical and biomedical applications (e.g., decision support, conversational AI, population health, drug discovery).
• Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.
• Collaborate with industry and healthcare partners to enable translation, licensing, and commercialization.

Scientific Leadership

• Publish in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL) and high-impact biomedical journals (e.g., Nature Medicine).
• Contribute to open science initiatives (datasets, model releases, benchmarks).
• Secure funding through collaborative research proposals with academia, healthcare institutions, and industry.

Job Requirements:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields with atleast 5 years of relevant experience.
• Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL) or high-impact biomedical journals.
• Deep expertise in LLMs, foundation models, or multimodal AI.
• Strong skills in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed/HPC training.
• Experience in large-scale LLM and foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.

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.

The Centre for Advanced Technologies in Online Safety (CATOS; https://www.catos.sg) was established in 2023 to host Singapore's Online Trust and Safety (OTS) Programme, a national research programme that leads the advancement of whole-of-nation technology capabilities to monitor and tackle online harms. The Systems Engineering Pillar of CATOS focuses on translational research and development, including evaluating, testing and integrating research output into needle-moving applications. One of the major outcomes will be a technological platform with an integrated suite of deep tech OTS engines, which analyses various internet sites and platforms for fast-trending harmful online content, such as non-factual claims, deepfakes, and hateful and toxic content. Different combinations of OTS engines can then be integrated and adapted to address the specific requirements of various stakeholders.

This role will be responsible for translating research outcomes (e.g., CATOS technologies and OTS engines) into meaningful applications to address the specific needs of various user groups, including public and private agencies, as well as the general public.

The candidate will assume the following roles and responsibilities:

• Explore and apply (Multi-Modal) Large Language Models and emerging AI technologies to solve practical problems.
• Code, develop, and test back-end components that integrate AI capabilities into end-user applications.
• Work with software developers to enhance core platforms and solutions.
• Develop documentation for the implemented solution.
• Follow Agile project management framework.
• Work and communicate well with other team members.
• Stay updated with advancements in AI to evaluate and apply relevant technologies for new challenges.

JOB REQUIREMENT:

• A Bachelor / Master degree in Computer Science / Information Technology / Computer Engineering / Information Systems / Data Engineering / Computational Social Science or equivalent.
• At least 5 years of relevant work experience.
• Demonstrable experience in using machine learning / deep learning frameworks and models.
• Experience in using (Multi-Modal) Large Language Models is valued.
• Demonstrable and relevant commercial and/or enterprise software project management experience and skills.
• Programming skills in Python are essential.
• Experience with the Linux platform is essential.
• Experience with web servers (e.g., Apache), browser-based applications, and databases such as MySQL.
• Able to create complex and interactive UI using HTML5, CSS3, and JavaScript that function across multiple platforms and environments.
• Experience with web libraries and frameworks such as Flutter, ReactJS, Bootstrap, Jquery, and CSS pre-processing frameworks like Sass or Less.
• Solid understanding of HTTP protocols, AJAX, and RESTful services.
• Solid understanding of networking concepts, including TCP/IP and HTTP protocols.
• Hands-on experience with cloud environments, preferably Digital Ocean, AWS, Azure, or GCP.
• Good knowledge on CI/CD pipelines. (e.g. Bitbucket, GitLab)
• Proactive team player with strong communication skills.
• Strong understanding and experience with Agile methodologies and processes.
• Good communication and interpersonal skills for working in a multicultural work environment.
• Strong understanding of algorithms. (i.e., The Art of Programming by Donald Knuth)
• Proficient in clean coding principles. (i.e., Clean Code by Robert Martin)

If you have accomplished any of the following, please include them in your cover letter:

1. You have won a programming competition.
2. You have independently built a software project. (any programming language)
3. You enjoy solving challenging programming problems. Please describe one problem you've solved. (max 1 page)
4. You have been trained under Agile Software Development framework.

Our research and engineering work is highly interdisciplinary, agile, and pragmatic. The candidate will collaborate closely with a team that embraces agile software development.

• We expect everyone to take ownership of their role, responsibilities, and tasks.
• We encourage everyone to speak up when they have feedback or ideas for improvement.
• We provide honest feedback to one another, which can be tough at times, but it fosters rapid learning.
• We care about each other's professional growth and well-being.

When applying, please share with us one project you have built fully on your own or a challenging technical problem you have solved (max 1 page).

Please note that only shortlisted candidates will be notified.

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.

We are looking for researchers who have a passion in modelling complex large-scale urban systems.

They will work with a team of scientists and engineers that have a passion in understanding the dynamics of large-scale socio-technical systems such as power systems and energy infrastructure or urban transportation (land, air or sea).

Shortlisted candidates would have the opportunity to work with various external collaborators, either from government and/or industry and work on real-world problems, and apply various computational tools including models, simulation and AI to analyse their resilience and efficiency, as well as optimise their planning and operations.

Job Requirements:

• Ph.D in Engineering, Computer Science, Operations Research, or related fields with atleast 5 years of relevant experience.
• Highly Proficient in Python, Java, or C++ programming.
• Relevant research/project experience in either of these fields:
  • Power systems and renewable energy transition.
  • Transportation and urban systems.
• Demonstrated experience using either open-source libraries and/or commercial software platforms relevant to the above fields of study would be highly desirable.
• Experience working on large scale real-world datasets would also be a plus.
• Good written and verbal communication skills.
• Ability to work individually as well as in a team

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.

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs) and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health.

We are looking for AI Engineer with strong applied AI skills ready to build large-scale systems. You will contribute to innovations that make real impact in healthcare.

Key Responsibilities:

Research & Development

• Develop novel architectures, training strategies, and optimization methods for LLMs and multimodal foundation models.
• Advance instruction tuning, reinforcement learning (RLHF/GRPO), retrieval-augmented generation (RAG), and knowledge-grounded reasoning in medical AI.
• Design and implement multimodal learning pipelines that integrate text, imaging, omics, and real-world clinical data.

Translation & Collaboration

• Prototype AI systems for clinical and biomedical applications (e.g., decision support, conversational AI, population health, drug discovery).
• Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.
• Collaborate with industry and healthcare partners to enable translation, licensing, and commercialization.

Scientific Leadership

• Publish in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL) and high-impact biomedical journals (e.g., Nature Medicine).
• Contribute to open science initiatives (datasets, model releases, benchmarks).
• Secure funding through collaborative research proposals with academia, healthcare institutions, and industry.

Job Requirements:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related fields.
• Proven hands-on experience in implementing and optimizing machine learning models.
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, JAX).
• Experience with large-scale training, HPC workflows, or ML engineering pipelines.
• Experience in large-scale LLM and foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.

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.

The Senior Solutions Integration Architect will lead the design, development, and integration of digital diagnostics systems, ensuring high availability, scalability, and performance. This role involves working with multi-disciplinary teams, including project managers, solution architects, health systems, and companies, to drive the adoption and scaling of innovative digital health solutions. The architect will also be responsible for planning and developing workflow and technical interfaces between healthcare IT systems.

Key Responsibilities:

• Lead digital health adoption and scaling projects across multiple parties (start-ups, innovators, hospital systems, and A*STAR).
• Design end-to-end architecture for digital diagnostic software systems, ensuring high availability, scalability, and performance.
• Collaborate with stakeholders to gather and analyze requirements, translating them into technical specifications and architecture designs.
• Provide technical leadership and mentorship to software development and systems engineering teams, fostering a culture of innovation and continuous improvement.
• Plan, design integration between new and in-development digital health solutions.
• Understand stakeholder priorities and dynamics; provide periodic project progress updates.
• Evaluate and recommend tools, technologies, and processes to enhance system performance and developer productivity.
• Ensure that all architectural designs comply with security and compliance requirements.
• Conduct system performance evaluations and recommend enhancements to meet business goals.
• Document architecture designs, including diagrams and specifications, for future reference and team knowledge sharing.

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering or a related field.
• Proven experienced as a Solution Architect or similar role with a focus on large-scale digital health systems.
• 10+ years of experience deploying software solutions in Singapore PHIs.
• Knowledge in ISO 13485 / 62304 Standards.
• Good understanding of applicable medical device regulations, cyber security requirements, and integration and workflow requirements.
• 10+ years of healthcare digital solutions deployment experience.
• Proficient in HCIT interoperability and integration standards (e.g., DICOM, HL7, FHIR).
• Extensive knowledge of cloud platforms, specifically AWS and Azure, with experience in designing scalable, resilient architectures.
• Demonstrated leadership experience in guiding software development and systems engineering teams.
• Experience with the design and implementation of complex data architectures.
• Excellent problem-solving skills and the ability to work under pressure.
• Strong communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Experience with DevOps practices and tools.
• Familiarity with Agile methodologies.
• Knowledge of privacy standards (e.g., PDPA, HIPAA) and requirements

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.

Seeking a highly motivated senior scientist to join the ImmunoDiagnostics team, focused on developing regulated diagnostic products and services, especially in protein-based assays.

The candidate will have a wide range of exposure of different technology platform, such as but not limited to ELISA, lateral flow, flow cytometry, electrochemical sensor, and mass spectrometry. This role combines deep scientific expertise with strong project management skills.

The successful candidate can be a project tech lead in the development for wide range of clinical application. Candidate will work closely with clinical and commercial stakeholders to deliver successful and impactful solutions.

Key Responsibilities

• Lead cross-functional project teams through different phases of product development, from feasibility to design transfer and verification/validation.
• Responsible for good records and standard operating procedures (SOPs) in accordance with confidential information requirement, quality system and regulatory guidelines.
• Responsible for mentoring junior scientists and refreshing the latest tech development and product landscape.
• Responsible for prompt supports and communications for internal and external stakeholders. 
• Responsible for assay planning, and execution, analysing experimental data, troubleshoot technical challenges.
• Responsible for presentation for progress, finding, and solution to internal and external stakeholder
• Responsible for technical development timeline, budgets and resources.
• Contribute to project scoping and preparing project proposals with in-depth understanding in clinical workflow, clinical unmet needs, technology value proposition, economic value capture, clinical deployment, and product commercialization pathway.
• Contribute to product landscape study on safety dossier and technical note approved by regulators. 
• Contribute to clinical study design, clinical trial in regulated diagnostic product settings. 
• Manage and perform lab operations activities, including general laboratory and equipment housekeeping and qualifications, and consumables purchasing.

 Requirements

• Education in Biochemistry, Cell Biology, Molecular Biology, Biotechnology, or a related field.
• At least 6-8 years of hands-on experience in protein-based assay development or IVD product development, preferably in industrial, diagnostics or clinical laboratory setting, with at least 2-3 years in a project or team leadership capacity.
• Strong scientific foundation, demonstrated critical thinking abilities, and proven experience applying first-principles methodology.
• Strong track record in experimental design, troubleshooting, and optimisation of laboratory workflows.
• Laboratory skills in techniques in pre-analytical and analytical, including extensive knowledge and hand-on experience in protein-based techniques.
• Familiarity with regulatory and quality standards for diagnostic assay development e.g. ISO13485.
• Demonstrated ability to manage complex projects and coordinate cross-disciplinary teams.
• Training or certification in project management (e.g. PMP) is advantageous.
• Highly multi-tasking with prompt response.
• Ability to articulate complex matter, which is guided by a great feedback loop. 
• Great presentation skills for a mixed audience.
• Strong in identifying critical pathways and demonstrate problem-solving abilities.
• Solid academic knowledge and a critical and innovative mindset.
• Extensive industrial relation and understanding of product landscapes.
• Optimistic and enthusiastic about continuous learning and professional development in the rapidly evolving field.
• A strong team player with a proactive and upbeat attitude.

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.

We are looking for researchers who have a passion in modelling complex large-scale urban systems.

They will work with a team of scientists and engineers that have a passion in understanding the dynamics of large-scale socio-technical systems such as power systems and energy infrastructure or urban transportation (land, air or sea).

Shortlisted candidates would have the opportunity to work with various external collaborators, either from government and/or industry and work on real-world problems, and apply various computational tools including models, simulation and AI to analyse their resilience and efficiency, as well as optimise their planning and operations.

Job Requirements:

• Ph.D in Engineering, Computer Science, Operations Research, or related fields.
• Highly Proficient in Python, Java, or C++ programming.
• Relevant research/project experience in either of these fields:
  • Power systems and renewable energy transition.
  • Transportation and urban systems.
• Demonstrated experience using either open-source libraries and/or commercial software platforms relevant to the above fields of study would be highly desirable.
• Experience working on large scale real-world datasets would also be a plus.
• Good written and verbal communication skills.
• Ability to work individually as well as in a team

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 Description

Job Summary

The Platform Systems Engineer is a system‑level technical leader responsible for platform integration and execution governance across PC platforms, ensuring scalable HW/SW/ME joint‑design across product generations.

The role serves as a platform integrator and technical authority, accountable for aligning cross‑functional engineering teams and ecosystem partners to deliver robust, cost‑effective, and high‑quality platform solutions from concept through mass production and sustaining. The position drives system‑level optimization across cost, design, reliability, manufacturability, and schedule.

In addition, this role provides AI engineering leadership and governance for the platform organization, accelerate AI adoption, automation, and data‑driven workflows are applied across product portfolio. The role ensures responsible, scalable AI adoption that measurably improves engineering productivity, predictability, and system quality, while aligning with enterprise AI standards and data governance.

Key Responsibilities

System & Platform Leadership

• Define platform technical direction, architectural tradeoffs, and long‑term system strategies.

• Review and approve system designs, software architecture, and integration plans to ensure performance, reliability, scalability, and compliance.

• Drive alignment and execution with ODMs, IHVs, and ecosystem partners.

AI Governance, Automation & Engineering Productivity

• Accelerate AI adoption, automation, and data‑driven engineering workflows across the platform organization to improve development velocity.

• Ensure responsible, scalable AI usage aligned with enterprise standards, data governance, and security requirements, with measurable impact to quality and productivity.

Platform Quality & Optimization

• Oversee platform development from concept through mass production and sustaining.

• Define, own system‑level quality criteria.

• Drive platform‑level cost, design, and manufacturability optimization.

Qualifications

Education

• Bachelor’s or Master’s degree in Engineering, Computer Science, or related field, or equivalent experience.

Experience

• 10+ years in PC, system, or platform development.

• 5+ years in a senior or principal technical leadership role.

• Proven ownership of system‑level HW/SW development and integration.

• Strong track record leading cross‑functional and cross‑company initiatives.

Preferred Qualifications

• Experience driving AI‑enabled engineering or automation initiatives.

• Background in SW, EE, ME Engineering with strong system perspective.

• Experience working with ODM/CM development models.

Job Description

Job Summary

The Platform Systems Engineer is a system‑level technical leader responsible for platform integration and execution governance across PC platforms, ensuring scalable HW/SW/ME joint‑design across product generations.

The role serves as a platform integrator and technical authority, accountable for aligning cross‑functional engineering teams and ecosystem partners to deliver robust, cost‑effective, and high‑quality platform solutions from concept through mass production and sustaining. The position drives system‑level optimization across cost, design, reliability, manufacturability, and schedule.

In addition, this role provides AI engineering leadership and governance for the platform organization, accelerate AI adoption, automation, and data‑driven workflows are applied across product portfolio. The role ensures responsible, scalable AI adoption that measurably improves engineering productivity, predictability, and system quality, while aligning with enterprise AI standards and data governance.

Key Responsibilities

System & Platform Leadership

• Define platform technical direction, architectural tradeoffs, and long‑term system strategies.

• Review and approve system designs, software architecture, and integration plans to ensure performance, reliability, scalability, and compliance.

• Drive alignment and execution with ODMs, IHVs, and ecosystem partners.

AI Governance, Automation & Engineering Productivity

• Accelerate AI adoption, automation, and data‑driven engineering workflows across the platform organization to improve development velocity.

• Ensure responsible, scalable AI usage aligned with enterprise standards, data governance, and security requirements, with measurable impact to quality and productivity.

Platform Quality & Optimization

• Oversee platform development from concept through mass production and sustaining.

• Define, own system‑level quality criteria.

• Drive platform‑level cost, design, and manufacturability optimization.

Qualifications

Education

• Bachelor’s or Master’s degree in Engineering, Computer Science, or related field, or equivalent experience.

Experience

• 10+ years in PC, system, or platform development.

• 5+ years in a senior or principal technical leadership role.

• Proven ownership of system‑level HW/SW development and integration.

• Strong track record leading cross‑functional and cross‑company initiatives.

Preferred Qualifications

• Experience driving AI‑enabled engineering or automation initiatives.

• Background in SW, EE, ME Engineering with strong system perspective.

• Experience working with ODM/CM development models.

Visual Merchandising and Display:

• Prepare floor plan for all visual merchandising displays to be in line with the seasonal theme and Hong Kong Head office guidelines.
• Coordinate and communicate with head office and cross-functional stakeholders to obtain approvals, ensure timely and successful rollout of new visual merchandising launches.
• Set-up all visual merchandising and promotional displays for seasonal change, promotional programs and ad-hoc events.  Prepare VM materials including signage, point-of-sale materials, props etc.
• Upkeep the high visual merchandising standard at the retail stores at all time.
• Ensure all visual merchandising materials are delivered according to planned schedule and properly maintained at the stores.
• Coordinate with Buying Department and Retail Operations Team to determine the key focus of the product collection and to determine the range of merchandise for display in stores.
• Coordinate with Retail Operations & Leasing Department to prepare floorplans for Atrium Sales in shopping malls.
• Coordinate with suppliers to manage the ordering, delivery, and production of VM materials.
• Prioritize and manage multiple programs within design specifications and budget/timing constraints.
• Strong in administrative support by ensuring proper documentation for management review and approval.
• Design creative graphic artworks and for branding, instore, print materials, sales & marketing collateral.
• Check and process monthly billing from vendors in a timely and accurate manner.
• Monitor and manage budgets, ensuring expenses align with approved allocations.
• Conduct regular store visits to ensure smooth operations and compliance with standards.
• Be the point of contact for retail store maintenance matters.

Project:

• Creative space planning and store layout design.
• Familiar with store design concept, renovation materials and placement of fixtures.
• Prepare and compile Bills of Quantities (BQ) for all projects to support budgeting and cost planning.
• Be the point of contact for liaison with mall management for site requirements and with Head office for store design updates.
• Review shop drawings and lighting plans with concerned parties.
• Coordinate with contractors on job completion within scheduled timeline and cost.
• Compile and rectify renovation defects.
• Support new shop openings and reinstatement setup, coordinating with relevant stakeholders.

Requirements:

• Diploma in Visual Merchandising, Fashion Design or equivalent.
• At least 1 year relevant experience in floor visual merchandising planning/retail display/shop renovation work.
• Proficient in MS Office software, Adobe Photoshop, Illustrator.
• Able to work under pressure and tight deadlines.
• Resourceful, fast and able to work with the team.

Other Benefits:

• 5 days work week
• Staff discount  
• Medical & Dental
• Location: Raffles Place MRT station

For interested applicants, please send a detailed resume to careers@bossini.com.sg and include the following:

• Work experiences and duties
• Reason for leaving each employment
• Last drawn and expected salary
• Date of availability

Only shortlisted candidates will be notified.