Top Tech Jobs & Startup Jobs in Singapore

Owns the complete lifecycle of electronics hardware for autonomous vehicles, from requirements, schematic and PCB design through bring-up, validation, production release, troubleshooting, and sustaining engineering. Designs STM32-based control, power, sensing, and communication systems interfacing with vehicle components. Leads debugging, root-cause analysis, reliability and EMC validation, component lifecycle management, supplier support, design reviews, and mentoring of electronics engineers.

Develop production-quality modern C++ software for autonomous robotic vehicles. Implement hierarchical state machines and advanced autonomy features, create reliable control logic, maintain technical design documentation, and contribute to software deployed on real-world systems. The role requires Linux development, ROS or similar middleware experience, strong communication, and the ability to solve problems in a fast-paced environment.

Designs, operates, and scales production hybrid infrastructure across on-premises, cloud, and customer environments. Responsibilities include Kubernetes platform management, secure networking, observability, deployment automation, GitOps, infrastructure as code, high availability, incident response, disaster recovery, and internal developer platform capabilities. The role supports autonomous driving services, data systems, streaming platforms, and internal tooling while maintaining strict reliability and security standards.

The Senior System Quality Engineer owns system behavior across modules, leads root cause analysis, coordinates between teams, and drives process improvements.

Lead the design of localization and mapping systems for autonomous vehicles, ensuring accuracy under various conditions and mentoring team members.

The Intern will validate maps, develop simulation tools, maintain map quality, and collaborate with testing teams for autonomous vehicle mapping.

Design, implement, and optimize planning algorithms for autonomous vehicles. Collaborate cross-functionally and mentor junior developers.

Support autonomous-vehicle data analysis by mining vehicle logs for scenarios and edge cases, building ETL pipelines, developing internal dashboards, and exploring AI agents for automated analysis and scenario generalization. The internship requires Python, Linux, SQL, and database knowledge, with bonus experience in web development, frontend tools, visualization, LLMs, Git, or Docker. Students must commit to a four- to six-month internship.

Perform requirements analysis, safety reviews, verification and validation, and systems engineering process development for autonomous robotic vehicle systems. Collaborate with product, software, hardware, and operations teams to integrate robust solutions. Manage requirements, support system modeling and architecture, and drive technical goals in an ambiguous, cross-functional environment.

Lead systems engineering strategy, processes, frameworks, roadmaps, requirements management, safety analysis, verification, and validation for autonomous robotic vehicle systems. Mentor engineers, resolve ambiguity, manage risks, and collaborate with product, software, hardware, and operations teams to deliver integrated solutions. The role also involves establishing scalable engineering practices and supporting system architecture, integration, simulation, and distributed hardware, software, and cloud systems.