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Singapore
Onsite
[What the role is]
PRINCIPAL / SENIOR / EXECUTIVE SOFTWARE ENGINEER, SYSTEMS[What you will be working on]
At Centre for Autonomous Mobility (CAM), You will build the digital products that make safe autonomous vehicle deployments possible in Singapore, at scale. We lead Singapore’s national effort to deploy autonomous vehicles (AVs) at scale safely. The Systems team builds the digital tools behind that mission — for instance, developing a monitoring system for AVs to collect and analyse AV operational data to support LTA’s regulatory and safety assurance work. But the role is broader than any single product: wherever software can move AV deployment forward, that is where we will build.
● Design and build production-quality digital products end to end: You will understand and take ownership of problem statements, before designing and architecting systems on cloud infrastructure from conception through deployment and ongoing maintenance.
● Build the suite of safety-assurance products LTA needs to regulate AVs reliably: analytics, dashboards and visualisations; implement enforcement and performance tracking, event management and data-anomaly alerts.
● Identify and address pain points bottlenecking deployment velocity: Work in a tight-knit and cross-functional CAM team, with a clear north-star of driving safe AV deployments at scale — which includes non-passenger vehicles and AVs on public paths (Autonomous Mobile Robots). Talk to users and industry, identify gaps and propose products that move AV deployments forward.
● Evolve our products to the next bound: Our product portfolio spans several digital products, including the AV Monitoring System that monitors every AV on Singapore’s public roads. We are building for scale so that systems can handle a growing number of AVs and developers amidst evolving needs, strengthening data pipelines and system observability for high-volume telemetry, and potentially integrating with other LTA enterprise platforms for operations and incident management.
● Monitor and support production systems that AV operations and regulation including helping respond to incidents when they arise.
● Apply AI, ML and Data Analytics where it adds value as well as identify gaps and proose products that strengthen AV safety and drive AU deployments.
[What we are looking for]
● Knowledge preferably in Computer Science, Software Engineering, or a related field.
● Can build software end to end, and is strong across the stack — demonstrated through prior work, shipped products or personal projects; what you’ve built matters more than specific degrees. You should be comfortable designing and implementing digital products with maintainable data models.
● Thinks clearly about systems — data pipelines, APIs, data integrity and authentication, and designing for scale and reliability — making technical decisions that balance performance, maintainability and real-world needs.
● Able to listen and distil issues faced by stakeholders into key problem and/or opportunity statements to devise effective solutions, while being able to clearly explain and obtain buy-in from other engineers and key stakeholders.
●Takes initiative, has pride in their craft, and cares about the public good — writes tests, cares about code quality, maintainability and correctness. Self-directed and curious in picking up new knowledge, and invested in team success beyond individual contributions. Motivated by the mission of driving safe AV deployments at scale.
● Experience with data-intensive systems, dashboards and data visualisation, or cloud infrastructure.
● UI/UX sensibility — experience designing usable interfaces, or working closely with designers to craft intuitive user experiences.
● Familiarity with JavaScript/TypeScript with some Python, React, cloud services and open-source tooling, on relational databases (SQLite and Postgres).
● Familiarity in working with geospatial data and relevant libraries will be advantageous
● Familiarity with infrastructure-as-code (e.g. Terraform), CI/CD pipelines, and Agile delivery.
● Interest in autonomous vehicles, transport planning, generative AI, or safety-critical systems.
