Physical AI Heterogeneous Systems Design Engineer

Physical AI Heterogeneous Systems Design Engineer

About the role

We are looking for a pioneering Physical AI Heterogeneous Systems Design Engineer to redefine autonomous robotic manipulation through hardware acceleration, physical AI software models, and real-time system control. This role designs, develops, and deploys custom hardware accelerators using High-Level Synthesis (HLS), integrated with multimodal Vision-Language-Action (VLA) models and ROS 2 robotic-arm control pipelines running on heterogeneous GPU + FPGA testbeds.

Key responsibilities

• Develop, train, and optimise state-of-the-art Physical AI models using PyTorch/TensorFlow and ONNX workflows.
• Design, implement, and optimise custom hardware acceleration cores using High-Level Synthesis, achieving strict timing closure and low-latency execution.
• Implement closed-loop robotic-arm motion control using ROS/ROS 2 and physics-based simulation environments for trajectory data collection and model evaluation.
• Lead end-to-end physical prototype demonstrations — integrating camera vision feeds, force-sensor inputs, VLA real-time inference results, and telemetry visualisation dashboards.
• Map microsecond real-time motion control and sensor interfaces onto FPGA logic via PCIe and AXI4 bus interconnects.
• Translate high-level multimodal neural architectures into C/C++ HLS specifications and ROS 2 middleware APIs for robotic control.

About you

• PhD or Master's in Electronic Engineering, Computer Engineering, Robotics, or a closely related discipline.
• Proficiency in PyTorch/TensorFlow, ONNX model deployment workflows, and ROS/ROS 2 for robotic motion control.
• Demonstrated experience in AI model optimisation, multimodal AI frameworks (ViT, CNNs, LLMs, VLMs), and simulation tools (MuJoCo, robosuite, Isaac Sim).
• 3+ years of hands-on experience in High-Level Synthesis (HLS) design.
• Proven record in hardware timing closure, resource optimisation, and interfacing systems with robotic actuators.
• Experience with Physical AI and VLA models, and hands-on training/simulation for robotic arms.
• Strong programming skills in C, C++, and Python for embedded system drivers, hardware testbenches, and real-time execution.

HOW TO APPLY:

We would like to invite interested applicants to click on the “APPLY NOW” button

We regret to inform that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Allison Ng Kim Lian

Registration no. R1986496EA

License: 12C6253

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