Lead Simulation Engineer at Kudo

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

04 Jun, 26

Salary

0.0

Posted On

07 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Simulation Systems, Robotics, Autonomous Vehicles, C++, Python, API Definition, Interface Contracts, Log Replay, Scenario Evaluation, Vehicle Dynamics Modelling, Sensor Simulation, Physics Engines, Scenario Generation, Test Execution, Distributed Simulation, System Architecture

Industry

Software Development

Description

Company Description About Grab and Our Workplace Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Job Description Get to Know the Team You'll join a team that builds production robotics and autonomy systems for urban environments across Southeast Asia. We develop perception, planning, and control capabilities step by step, using safety evidence to guide each release. We focus on robust systems, quality code, and technical depth maintained within the team. We are a senior engineering group that values clean interfaces, reproducible development workflows, and systems that work in real-world conditions. Get to Know the Role As a Lead Simulation Engineer, you'll report into the Head of Engineering and be based in Grab One North Singapore Office. You'll lead the simulation platform that enables autonomy development and validation. You'll build capabilities across log replay, open-loop evaluation, and closed-loop simulation to help engineers test changes and catch regressions before they reach vehicles. You'll define system architecture, implement core components, and ensure the platform remains reliable, scalable, and integrated into daily engineering workflows. The Critical Tasks You will Perform You'll architect and maintain the end-to-end simulation platform used by perception, planning, and control teams, ensuring it remains fast to run and easy to debug during daily development work. You'll design versioned, testable integration contracts between the simulation environment and the autonomy stack, maintaining these interfaces as the system architecture evolves. You'll build reproducible pipelines for scenario generation, test execution, and results reporting, creating clear pass/fail signals and trend tracking for autonomy changes. You'll develop and maintain physics-based models of vehicle dynamics, sensors, and urban environments to improve agreement between simulated and real-world vehicle behaviour. You'll build curated scenario libraries that reflect Southeast Asia driving patterns and edge cases, using real operational data and ensuring reproducible replay capabilities. You'll design distributed simulation infrastructure that enables large-scale regression testing across thousands of scenarios. You'll work with Perception, Planning, and Control engineers to align simulation fidelity with the validation needs of each subsystem. Qualifications What Essential Skills You will Need You have: At least 5 years of experience building simulation systems for robotics or autonomous vehicles, plus production software development skills in C++ or Python. Experience defining APIs or interface contracts between simulation environments and production software stacks. Experience constructing log replay systems and automated scenario evaluation frameworks using real-world robotics datasets. Experience with vehicle dynamics modelling, sensor simulation, or physics engines for robotics applications. Experience curating test datasets or scenario collections from real-world vehicle operations. Experience building scalable compute systems for continuous integration, regression testing, or large-scale simulation workloads. Experience collaborating with perception, planning, or control teams to define validation requirements and acceptance criteria. A Degree in Computer Science, Robotics, Electrical Engineering, or equivalent experience that helps you understand the vehicle dynamics and software architecture principles that this role requires. Additional Information Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: We have your back with Term Life Insurance and comprehensive Medical Insurance. With GrabFlex, create a benefits package that suits your needs and aspirations. Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges. Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours What We Stand For at Grab We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

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Responsibilities

The Lead Simulation Engineer will architect and maintain the end-to-end simulation platform for autonomy development, focusing on log replay, evaluation, and closed-loop simulation capabilities. This involves designing versioned integration contracts, building reproducible pipelines for testing, and developing physics-based models to ensure simulation fidelity matches real-world vehicle behavior.