Physical AI Engineer
Elect – 100 Jurong East Street, SG
SGD 60K-64K (estimate) Mid-level Full Time
Tasks
- Apply domain adaptation and reinforcement or interactive learning for robot skills
- Build simulation to real world data pipelines
- Develop AI ML and generative foundation models for perception mapping and planning
- Evaluate model performance in simulation and on hardware
- Fine tune generative foundation models for edge deployment
- Formulate technical solutions for customer requirements
- Integrate models into ROS2 and swarm autonomy stacks
- Optimize inference latency and reliability on edge compute
- Optimize on device models with quantization distillation and TensorRT
Perks/Benefits
- N/A
Skills/Tech-stack
CUDA | Computer Vision | Domain Adaptation | Edge AI | Embedded Linux | GPU | Generative AI | Imitation Learning | Knowledge Distillation | Language Processing | MLOps | Machine Learning | Model Quantization | Natural Language | Natural Language Processing | On-device Inference | ROS2 | Reinforcement Learning | Robotics | Simulation | TensorRT
Education
Roles
AI Engineer | Engineer | Physical AI Engineer | Robotics Engineer
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