Physical AI Jobs in Singapore for Smart Manufacturing and Logistics

Key Takeaways

• Singapore ranks 2nd globally in robot density with 770 robots per 10,000 workers, making it the most automated economy in Asia outside of South Korea.
• The Smart Nation initiative provides direct government funding and infrastructure support for Physical AI deployment across manufacturing, logistics, healthcare, and urban mobility;
• English is the primary business language, making Singapore one of the most accessible Physical AI markets in Asia for international engineers;
• Salaries for Physical AI engineers range from SGD $70k - $150k, with senior roles at technology companies and research institutes reaching higher.

Singapore lacks the land and population space of many countries, but makes up for it with the amount of success the country has had with the government's innovative Physical AI strategies. The Singaporean government has used its resources to their fullest potential and has been successful in automating its economy with policies designed to attract international technology talent. As a bonus, Singapore has a booming robotics market with an English-speaking first environment, and legally encourages the entry of foreign talent.

Here you can find the latest information on Physical AI jobs in Singapore, the companies hiring, the skills needed, and everything international engineers need to know about the salary and research opportunities in Singapore, along with visa information.

Physical AI Job Market in Singapore

The Singaporean government's approach to Singapore's robotics cluster is no accident. The Economic Development Board (EDB) has been purposeful in its attraction of companies involved in the manufacturing and logistics ecosystem (semiconductor manufacturers and logistics companies), which are significant users of automation. In a small country like Singapore, advanced manufacturing and logistics integration are even more pronounced.

The Singapore Economic Development Board's advanced manufacturing sector page outlines the national investment priorities driving Physical AI adoption, including the Singapore Smart Industry Readiness Index, which benchmarks manufacturing companies on their automation and AI integration.

Smart Manufacturing Careers in Singapore

Singapore's manufacturing sector is as advanced as they come. Singapore hosts several advanced semiconductor fabs (GlobalFoundries, Micron, STMicroelectronics), along with manufacturing and logistics companies that rely heavily on automation. Manufacturing-related Physical AI engineers deal with robotic integrations, automated optical inspections, factory logistics with autonomous mobile robots (AMRs), and collaborative robots (cobots) for precision assembly.

ST Engineering is one of the largest local employers of Physical AI engineers, with divisions spanning aerospace engineering, defence, and urban mobility. The company runs active programs in autonomous systems, smart facilities, and logistics robotics across its Singapore operations.

The Agency for Science, Technology and Research, known as ASTAR, plays a central role in bridging manufacturing research and industrial deployment. ASTAR's robotics and automation programs are closely linked to manufacturing companies, and many Physical AI engineers move between ASTAR research roles and industry positions. The agency's work is detailed on the ASTAR Advanced Remanufacturing and Technology Centre page.

Logistics Robotics Jobs in Singapore

Singapore's second-largest employment sector for Physical AI is logistics. The Port of Singapore, one of the world's largest and busiest, has been automated over the last decade. PSA International, the operator of the port, has deployed multiple large-scale AI-automated systems and stacking cranes. Additionally, the port uses AGVs (Autonomous Guided Vehicles). Engineering positions to support the automation of the port require knowledge of autonomous systems, sensor fusion, big data, and complex systems.

Automated systems employed beyond the port in logistics have also created many Port automation jobs. Singapore has a lot of warehouse automation deployed by Amazon, DHL, FedEx, and domestic logistics companies. In addition, Grab (the region's largest tech firm) is using Physical AI via its delivery programs in Singapore.

Especially in last-mile delivery and warehouse robotics, Singapore mirrors global trends in terms of the fastest-growing sectors for Physical AI job listings. Singapore's job trends are informed, in part, by the country's dense infrastructure and urban environment, which contributes to a more favorable environment for autonomy compared to many countries.

Browse autonomy engineer roles and simulation engineering positions listed across the Asia-Pacific region on our platform.

Autonomous Systems Positions in Singapore

Beyond logistics and manufacturing, Singapore utilizes Physical AI for smart defense and urban mobility. The Land Transport Authority (LTA) started testing Autonomous Shuttles and buses in Singapore in 2015. As a result, Singapore is one of the longest-running real-world testbeds for autonomous urban mobility, outside of the US and China.

The Defence Science and Technology Agency (DSTA) and DSO National Laboratories develop concepts and systems in the field of autonomy for land vehicles and surveillance systems. Positions in these areas mostly require security clearance and focus on Singapore Citizens or Permanent Residents. Research in these areas crossing over into the defense realm does create some economic potential.

Physical AI and automation have been integrated into the Singapore engineering centers of Seagate, Siemens, and Honeywell. With a vibrant multinational community located in a small engineering ecosystem, highly skilled talent is able to solve problems of a global scale.

What Skills Do Singapore Robotics Employers Require?

Singapore's Physical AI job market draws on the same global skill set as other advanced markets, with some emphasis differences reflecting the local sector mix.

• ROS 2 and autonomous navigation: Required across manufacturing and logistics robotics roles. AMR and AGV deployment is heavy in Singapore, making navigation stack experience particularly valued;
• Python and C++: Both expected. Python dominates AI & tooling development; C++ is required for real-time and embedded systems.
• Computer vision: High demand across quality inspection, warehouse automation, and autonomous vehicle programs;
• Systems integration: Singapore's automation projects often involve integrating robots with enterprise software (ERP, WMS). Engineers who can work across both the robotics stack and enterprise software interfaces are in short supply;
• Functional safety: IEC 61508 & machinery safety standards appear in manufacturing and logistics robotics postings.

For a full technical skills breakdown by role type, see our guide on what skills you need for a robotics career.

Government Support for Physical AI in Singapore

Singapore's government broadly encourages Private AI development with funding, coordination, and risk mitigation. The launch of Smart Nation in 2014 developed Singapore's digital infrastructure, including systems and services with autonomy and AI, and worked with technologies across government services and industries.

Multi-government agency collaboration: The National Robotics Program (NRP) supports R&D and the deployment of robots in healthcare, security, logistics, and construction. Companies applying for NRP support are awarded a co-fund for robotic projects. Significant cost reduction for Physical AI attracts companies and creates a need for engineer positions who can design and build these integrated systems.

The multi-billion dollar budgets covered over a five year planning period for the Research, Innovation and Enterprise (RIE) framework support advanced manufacturing and AI. This lengthy public support has contributed to the sustained growth of Singapore's Physical AI market even during economic slowdowns.

Salary Ranges in Singapore

Singapore engineering salaries are competitive for the Asia-Pacific region and comparable to European markets in purchasing power terms.

USD equivalents calculated at approximately SGD 1.35 per USD. Singapore's income tax rates are substantially lower than most European countries and the US, which improves effective take-home pay relative to nominal salary comparisons.

Research Institutions in Singapore

Singapore's research ecosystem is small but highly concentrated and internationally connected.

Nanyang Technological University (NTU) runs one of Asia's strongest robotics research programs through its Robotics Research Centre. NTU publishes extensively in perception, human-robot interaction & autonomous systems, and has active industry collaboration programs.

National University of Singapore (NUS) hosts the Advanced Robotics Centre, with research spanning surgical robotics, social robotics & marine autonomous systems. NUS has strong links to the healthcare sector, making it particularly relevant for engineers interested in medical robotics.

A*STAR's Institute for Infocomm Research (I2R) & the Advanced Remanufacturing and Technology Centre (ARTC) both conduct applied robotics research with direct industry deployment paths.

For engineers considering Singapore as a base for research-adjacent roles, these institutions offer pathways between academic research & industry engineering that are well-structured and actively supported by government funding.