Top Engineering Jobs in Singapore

Develop and modify semiconductor process formulations, methods, and controls; create technical charts; establish SOPs and FMEA; integrate equipment and materials for process modules; drive continuous improvement and collaborate cross-functionally while supporting EHS requirements.

Design, build, and automate Windows thick-client applications and endpoint management. Develop PowerShell modules, author IaC, administer Microsoft Intune (Autopilot, Win32 packaging), integrate with Azure AD/Graph, maintain CI/CD and source control, troubleshoot endpoint systems, and collaborate with security and infrastructure teams.

Conduct research to develop mobile and bimanual robotic manipulation systems for household and manufacturing tasks. Build robotic foundation models and vision-language-action models, create manipulation learning frameworks from human instructional videos, and implement efficient mobile bimanual systems for diverse deployments.

Conduct research to develop general robotic manipulation systems for household and manufacturing use. Develop robotic foundation models integrating vision-language-action models with online reinforcement learning, design efficient data-sampling policies to reduce RL data demand, and build a mobile bimanual manipulation system for diverse real-world tasks.

Conduct and manage research under a Principal Investigator: plan experiments, manage project milestones and resources, supervise students, collaborate with partners, report progress, and develop innovative experimental or modelling methods.

Lead engineering projects, automation and digitization, new product qualification, and machine/process reliability. Manage budgets, timelines, root-cause troubleshooting, maintenance strategy, and integration of advanced manufacturing technologies. Mentor and develop engineering team, ensure safety and compliance, and coordinate with regional/global stakeholders to drive productivity and operational excellence.

Lead a software engineering team building omnichannel commerce services (inventory, delivery promise, integrations). Drive execution (OKRs, sprints, capacity, risk), engineering quality, metrics, AI-assisted practices, stakeholder collaboration, hiring, and vendor management to deliver reliable, scalable commerce capabilities.

Lead platform engineering teams to execute platform strategy, roadmaps, and integration capabilities. Drive platform adoption, developer enablement, test automation, quality engineering, observability, AI-assisted tooling, and engineering productivity. Manage delivery planning, OKRs, sprints, capacity, dependencies, vendors, and stakeholder engagement while coaching and growing high-performing engineering teams.

Lead and grow a software engineering team building personalization, recommendation, and consumer intelligence services. Own delivery planning, OKRs, sprint execution, quality, CI/CD, experimentation adoption, metrics, vendor management, and coaching to drive reliable, data-driven consumer engagement experiences.

Work with engineers and product managers to develop, test, and deploy software features. Participate in code reviews, debug issues, write documentation, and contribute in an Agile environment while learning production-grade development practices.

Design, build, test and support batch and streaming data pipelines and curated datasets on a modern Lakehouse and AI data platform. Implement data modelling, schema evolution, partitioning and data quality controls. Partner with platform teams and consumers, contribute tooling and standards, and lead delivery for workstreams while supporting junior engineers.

Lead and align Engineering, ML, and Analytics to deliver scalable, reliable production AI and data systems. Own technical direction, architecture, MLOps, and platform reliability while partnering with Product, Sales, and Customers to ensure engineering work maps to measurable business outcomes.

Lead site manufacturing engineering strategy to improve productivity, quality, and cost efficiency. Oversee NPI, design transfers, major projects, material localization, cross-functional engineering support, yield improvements, and continuous improvement initiatives.

Join the hardware/firmware R&D team to prototype, test, and iterate sports products. Tasks include PCB design in Mentor PADS, board-level repair and troubleshooting with multimeter and oscilloscope, evaluating component EOL, soldering, and supporting product development from concept to production.

Lead and grow a team of Technical Support Engineers to resolve complex customer issues, partner with Product and Engineering to influence roadmaps, build automations and tooling, monitor team metrics, and champion documentation and knowledge sharing to scale AI-enhanced developer support.

Lead end-to-end engineering delivery for a new crypto and payments product: hire and grow the founding team, set architecture and integration frameworks, make build-vs-buy decisions, run AI-native engineering practices, orchestrate multi-vendor integrations, and partner with product, design, compliance and bank engineering to deliver regulated products across jurisdictions.

Lead and scale a global, fully remote engineering organization. Drive technical strategy, architecture, and reliability for high-volume ad-tech systems. Implement metrics-driven delivery (DORA/SPACE), reduce technical debt, and integrate AI-augmented tooling to improve developer throughput. Build org design, career ladders, and cross-functional pod structures to increase velocity, retention, and platform stability.

Lead and build a cloud-based creator platform engineering team: learn platform architecture, join on-call, create runbooks, hire and onboard engineers, manage retained and new staff, eliminate single-person dependencies, and provide technical input for integrations.

Maintain and support semiconductor fab equipment readiness through preventive maintenance, troubleshooting, upgrades, monitoring performance charts, driving improvement projects, and ensuring safety and EHS compliance.

Build and maintain ML infrastructure: training pipelines, data workflows, model integration and serving, tooling for experimentation, optimization of data pipelines, and collaboration with researchers to productionize models.

Lead end-to-end system engineering for proposals, designs, and project execution, assessing risks and ensuring integration of system components to enhance performance.

Lead development of ATE test solutions and hardware on Advantest/Teradyne platforms; create test plans; convert design patterns to ATE; collaborate with DFx and design teams; optimize test flows to improve yields and reduce test time; release production test programs and support wafer sort and characterization.

Lead application engineering across backend, mobile, and desktop to turn ML capabilities into reliable, low-latency user experiences. Set architecture, integrate AI with predictable behavior and graceful failures, ensure production readiness (observability, retries, fallbacks, privacy, cost controls), grow a small senior team, and balance rapid shipping with long-term system quality.

The VP of Engineering leads application strategy for AI chat products, managing teams and ensuring quality and reliability across platforms.

Support engineers with maintenance planning, reliability and productivity improvements, PM development and optimization, spare parts identification/purchase, and participate in project teams and meetings to drive continuous improvement.