[lta-T&id] Principal / Senior / Executive Software Engineer, Systems

sggovterp; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Land Transport Authority is hiring a Principal / Senior / Executive Software Engineer, Systems to build production-grade digital products for autonomous mobility in Singapore. You will design end-to-end software, own features from concept to deployment, and lead across cloud infrastructure, data pipelines, analytics, and AV monitoring dashboards.

You'll work in CAM's cross‑functional team to evolve systems for safe AV deployments at scale, mentor engineers, establish CI/CD and code quality

Qualifications

• Knowledge preferably in Computer Science, Software Engineering, or related field.
• Language-agnostic; ability to learn new tools quickly.
• Experience building production-quality digital products end to end.
• Strong systems thinking: data pipelines, APIs, data integrity.

Responsibilities

• Design and build production-quality digital products end to end.
• Own features from conception through deployment and ongoing maintenance.
• Develop analytics, dashboards and visualisations for AV safety.
• Mentor engineers and establish CI/CD and code-quality practices.

Skills

Software engineering

Cloud architecture

CI/CD

Data analytics

AI/ML

System design

Education

Bachelor's degree in Computer Science or related field

Tools

CI/CD tooling

Cloud platforms

Data dashboards

APIs

Job description

What the role is

PRINCIPAL / SENIOR / EXECUTIVE SOFTWARE ENGINEER, SYSTEMS

What you will be working on

Software Engineer, Systems team - Centre for Autonomous Mobility (CAM), Land Transport Authority. You will build the digital products that make safe autonomous vehicle deployments possible in Singapore, at scale. This role is open at two levels - a core set of responsibilities applies to all hires, with additional ownership and leadership expectations for more senior candidates (see section below). CAM leads 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. As a software engineer, you will Design and build production-quality digital products end to end : You will be expected to understand and take ownership of problem statements, before designing and architecting systems on cloud infrastructure - owning features 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. Keep what we ship healthy : monitor and support production systems that AV operations and regulation depend on, including helping respond to incidents when they arise. Apply AI, ML and Data Analytics where it adds value AI is increasingly central to how we build and what our products do. You can expect to apply it in areas such as: Engineering productivity : Safe use of AI tools, including coding assistants and multi‑agent workflows, will be expected. Anomaly and risk detection : Automatically surface unsafe patterns found from AV operational telemetry and video data, so issues are caught earlier before scale. Operational intelligence : Address the pain points faced by operations and regulatory colleagues as deployments scale, through natural‑language querying and automated summaries of performance and trends. Deployment and planning : Implement tools and optimisation algorithms to inform demand/supply estimation and deployment feasibility. Because safety assurance is new ground, you will also Help shape what we build, not just how - identify gaps and propose products that strengthen AV safety and drive AV deployments. Work with policy, operations and regulatory colleagues to turn requirements into working software, and explain technical trade‑offs to non‑technical audiences. Know when to build versus when to adopt open‑source or commercial solutions, so effort goes into delivering real value rather than re‑solving solved problems. If you join as a more senior hire, you will also Lead technical discussions, influence architectural decisions, and own technical direction across products. Establish testing, CI/CD and code‑quality practices, and balance pragmatic delivery with long‑term technical sustainability. Set engineering best practices, mentor other engineers and support recruitment. If you want your code to shape how a new technology is adopted safely while driving deployment needs at scale, we want to hear from you.

What we are looking for

• Knowledge preferably in Computer Science, Software Engineering, or a related field.
• We're generally language‑agnostic and will use the most appropriate tool to solve the problem - core competency in at least one language and the ability to learn matter most. We look for someone who:
• 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 s