The Role at a Glance
Get to Know the Team
Our team develops production-grade robotics and autonomy capabilities for the uniquely complex, unstructured urban environments of Southeast Asia. We advance perception, planning, and control step by step, with safety evidence as the gate for every milestone. We prioritise robust systems, uncompromised quality, and strong in-house technical depth.
We are a senior, hands-on engineering group that values operational excellence, clean interfaces, and reproducible pipelines.
Get to Know the Role
As the Principal Control Engineer, you are the primary owner of the vehicle control stack. You will set the direction, interfaces, and validation bar, and deliver the system that turns planned paths and speed targets into safe, stable, and comfortable steering and acceleration/braking commands under real-world constraints.
This is a hands-on technical role. You will define control architecture, implement advanced control strategies, and ensure production-grade reliability from simulation through on-vehicle deployment. You will work with Planning and Vehicle Integration to guarantee dynamically feasible, robust execution in complex urban environments.
You will report to the Head of Engineering and serve as the technical owner for control systems.
The Critical Tasks You Will Perform
Control Architecture & Ownership
- Architect and own the end-to-end control stack, from following planned paths and speed profiles to producing actuator commands (steering, throttle/torque, brake).
- Design modular, production-grade control software with clear abstractions and fail-safe mechanisms (e.g. command limits, watchdog/timeouts, stale-data checks, graceful degradation and safe stop behaviors).
- Define performance metrics, stability criteria, and release gates for control updates.
- Set standards for control-layer safety mechanisms and verification and contribute test evidence to the Safety/System engineering process.
Algorithm Development & System Hardening
- Develop and deploy advanced control algorithms (e.g., MPC, nonlinear, robust, adaptive) for path/speed tracking and stabilization.
- Model and compensate for vehicle dynamics, actuator limits, delays, and disturbances.
- Tune for stability, safety, and ride comfort in dense, real-world urban conditions.
- Ensure control runs reliably at fixed loop rates and remains robust to latency, jitter, stale inputs, and actuator/sensor dropouts.
- Partner with Simulation/Platform to develop vehicle models, actuator models and simulation environments for control validation, while owning control-relevant model assumptions and validation needs.
- Lead SIL/HIL testing and structured on-vehicle validation, defining what qualifies as 'release-ready' for control changes and enforcing regression gates.
- Resolve cross-boundary software鈥揾ardware performance issues using data-driven methods.
Cross-Functional Collaboration
- Partner with Planning to establish control-relevant interface contracts (timing, units, constraints, and feasibility checks) so planned outputs are executable on real vehicles.
- Work with Vehicle Integration on DBW integration boundaries and hardware constraints, including command semantics (angle vs rate, accel vs torque), signal validity, saturation/limits, and fault handling expectations.
- Support Safety and Systems Engineering in meeting relevant safety standards (e.g., ISO 26262, SOTIF).
- Mentor engineers in control design, tuning methodology, and production-quality implementation.