Lead On-Vehicle Integration Engineer

Grab; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading superapp company in Singapore is seeking a Lead On-Vehicle Integration Engineer to bridge software and physical systems. You will be responsible for deploying and ensuring the reliability of software on robotic platforms. Ideal candidates will have a Bachelor's Degree in a relevant field, along with at least 5 years of experience in embedded systems and expert-level proficiency in modern C++. This role offers an opportunity to work in a hands-on engineering group dedicated to operational excellence and innovative tech solutions.

Benefits

Term Life Insurance

Comprehensive Medical Insurance

Flexible work arrangements

Parental and Birthday leave

Volunteering leave opportunities

Grabber Assistance Programme

Qualifications

• At least 5 years of relevant experience in embedded/automotive/robotics systems engineering.
• Experience with compute architecture and multi-sensor integration.
• Deep hands-on experience with time synchronization and calibration pipelines.

Responsibilities

• Own the system bring-up and integration of all software modules.
• Lead performance optimization efforts to meet real-time constraints.
• Develop the core vehicle interface software.

Skills

Expert-level proficiency in modern C++ (C++17+)

Strong proficiency in Python for tooling and testing

Experience with real-time operating systems (RTOS)

Deep experience in embedded/software development

Experience with networking protocols

Knowledge of vehicle dynamics and control loops

On-target debugging and performance profiling

Education

Bachelor's Degree in Robotics, Autonomous systems, EE, CS, or related fields

Job 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

Our team develops production-grade robotics and autonomy capabilities for the urban environments of Southeast Asia. We advance perception, planning, and control step by step, with safety evidence as the gate for every milestone. We focus on building robust system capabilities, scaling with uncompromised quality, and collaborating with industry leaders while investing in in-house expertise where it differentiates us.

We are a senior, hands-on engineering group that prizes operational excellence, clear interfaces, and reproducible pipelines.

Get to know the Role

As a Lead On-Vehicle Integration Engineer, you are the crucial link between our software and the physical world. Your mission is to own the deployment, performance, and reliability of our entire software stack on our robotic platforms. You'll solve the deep technical challenges of ensuring our complex system runs efficiently and robustly on real-time, resource-constrained embedded hardware.

You'll be based at Grab One North Singapore office and report to a Head of Engineering, contributing directly to both technical and strategic leadership.

The Critical Tasks You Will Perform

You will:

• Own the system bring-up and integration of all software modules onto the target compute platform, from the OS and drivers up to the application layer.
• Lead the performance optimization efforts, including profiling, latency tuning, and resource management to ensure the system meets its real-time constraints reliably.
• Develop the core vehicle interface software, managing the communication between the compute system, sensors, and actuators.
• Develop and operate on-platform diagnostics, logging, and health monitoring systems that are critical for debugging and fleet management.
• Partner with hardware, controls, and safety teams to influence the selection of compute hardware and to validate end-to-end system performance.
• Guide other engineers on best practices for embedded software development, real-time systems, and robust integration.

Qualifications

What Essential Skills You Will Need

You have:

• A Bachelor's Degree in Robotics, Autonomous systems, EE, CS, or related fields.
• At least 5 years of relevant experience in embedded/ automotive/ robotics systems engineering.
• Expert-level proficiency in modern C++ (C++17+) and strong proficiency in Python for tooling and testing.
• Deep, hands-on experience with real-time operating systems (RTOS) (e.g., QNX, Linux with PREEMPT_RT) and embedded software development.
• Experience with compute architecture, networking protocols (e.g., Ethernet, CAN), and multi-sensor integration
• Knowledge of time synchronisation and calibration pipelines along with vehicle dynamics and control loops with redundancy, fault tolerance, and fail-operational architectures.
• Experience with on-target debugging, performance profiling, and system analysis.

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 provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.