Top Software Engineer Jobs in Singapore

The Software Engineer will develop and maintain cross-platform desktop applications using Electron, focusing on performance, reliability, and real-time updates for AI-powered features.

As an Android Developer, you will build and maintain production Android applications, integrate AI features, ensure performance and reliability, and collaborate with backend teams.

As an iOS Software Engineer, you'll develop and maintain iOS applications focused on AI interactions, ensuring high performance and user experience through collaboration and optimization.

The role involves building large-scale infrastructure for a search engine, focusing on GPU clusters, Kubernetes orchestration, and optimizing performance across systems.

The Software Developer will design and implement a low-latency trading platform, optimize machine learning algorithms, and develop data analysis tools.

This role involves using OCaml and Python for various software engineering tasks, promoting collaboration within small teams at Jane Street.

Develop, prototype, evaluate, and productionize ML models for autonomous vehicle behavior and agent prediction. Collaborate with researchers and engineers, deploy models to fleets, mentor teammates, and iterate on solutions for safe, comfortable driving.

As a Software Engineer at BeMyGuest, you will develop scalable applications, manage API integrations, and ensure software quality throughout project lifecycles.

Build and maintain OKX's mobile apps (iOS/Android and cross-platform), ship scalable features for millions of users, optimize performance, collaborate with design/product/global teams, document systems, and incorporate AI tools into engineering workflows.

Build and maintain core iOS and Android OKX mobile apps used by millions. Develop new features, optimize performance, collaborate with design/product teams, integrate AI/LLM workflows (prompting, RAG, agents), maintain cross-office documentation, and deliver scalable, secure mobile-first Web3 experiences.

The Software Engineer for the Platform team will design, develop, and maintain backend services like APIs, focus on performance optimization, and collaborate with cross-functional teams to enhance user experience.

The Software Engineer for Data Infrastructure & Acquisition at Speechify will enhance data collection, manage infrastructures, and work with AI scientists to develop large-scale datasets.

Design, build, and operate backend services and data pipelines to ingest, process, enrich, and deliver large scientific, media, and geospatial datasets. Implement REST APIs, event-driven and streaming systems, and Kubernetes-based production infrastructure to support machine learning and agentic AI applications. Collaborate with scientists and ML engineers to translate requirements into scalable, reliable solutions.

Design, build, and maintain full-stack features for a secure document platform. Work across frontend and backend systems, contribute to authentication, access control, file delivery, integrations, APIs, background workers, and analytics, collaborating with product and engineering teams.

Build and maintain production-grade iOS apps using Swift and SwiftUI. Integrate backend APIs for insurance, payments, and claims; implement AI-assisted features; design responsive UX for real-time interactions; optimize performance and reliability; implement analytics and crash reporting; collaborate with product, backend, design, and AI/ML teams; and improve mobile architecture and engineering practices for App Store-quality releases.

Build and maintain production-grade Android applications in Kotlin, integrate backend APIs for insurance and payments, implement AI-assisted mobile features, optimize performance and reliability, and collaborate with product, design, backend, and AI/ML teams to ship scalable, secure mobile experiences.

Build and operate backend services in Elixir/Phoenix handling real-time freight events, high-volume data, and reliability. Contribute to architecture, write production-ready tested code, improve tooling, participate in deployments/troubleshooting, and use agentic AI tooling responsibly. Optional front-end work with React/TypeScript for fullstack candidates.

Six-month traineeship to learn and build performant iOS applications using Swift. Work in cross-functional agile teams, contribute to large mobile codebases, integrate AI features, collaborate with frontend/backend/design/product, and gain hands-on experience building maintainable client apps that interact with complex backends.

The Senior Software Engineer designs, develops, tests, and supports software components within the RTP program, ensuring high standards and operational readiness while collaborating with teams.

Design, implement, and debug Bluetooth radio firmware for the Apollo Blue family. Develop features, optimize performance and power, write tests, support FAEs, triage validation issues, produce technical documentation, and collaborate cross-functionally to integrate wireless components.

Lead platform engineering work balancing day-to-day operations and long-term automation. Implement SRE/DevOps practices, write and review code, build observability, triage and resolve system issues, and improve deployment and operational processes.

Lead the development and testing of Ambiq's Zephyr software, including driver and software testcase development, maintaining compliance, and solving issues in collaboration with global teams.

The Senior Embedded Software Engineer will develop, integrate, and verify SDKs for SoC platforms, lead HAL and driver development, and validate embedded systems through collaboration across teams.

Lead frontend engineering for the GTPN platform: build React+TypeScript micro-frontends, BFFs with Apollo GraphQL/Node.js, design systems, CI/CD-driven deployments on GCP/Aliyun Kubernetes, deliver reusable NPM components, and ensure high test coverage and UX consistency across domains.

Lead architecture, development, and operation of Airwallex's data and AI platforms. Drive company-wide data platform strategy, build scalable multi-region data pipelines, promote best practices, mentor engineers, and enable data-driven decision making and AI readiness across the organization.