Senior AI/ML Engineer with Robotics Specialization
SGD 165K-225K (estimate) Senior-level Full Time
Tasks
- Build physical AI solutions
- Convert and optimize models for edge inference
- Define evaluation metrics and robotics KPIs
- Deploy NVIDIA robotics accelerated pipelines
- Design data collection labeling and augmentation
- Develop AI ML robotics pipelines
- Establish reliability practices
- Implement real time inference with latency targets
- Integrate ROS ROS2 nodes and packages
- Manage experiment tracking and reproducibility
- Mentor engineers and lead architecture decisions
- Optimize perception navigation and autonomy
- Produce production robotics AI documentation and best practices
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | CI/CD | CUDA | Cartographer | Computer Vision | Docker | FP16 | Fail Safe | Fail Safe Modes | GXF | Gazebo | Health Checks | ICP | IMU | INT8 | Isaac ROS | Isaac Sim | Jetson | Latency optimization | Lidar | Lifecycle Management | Linux | MLflow | Manipulation | Message Filters | Motion Planning | Mujoco | NITROS | NVIDIA Isaac | NVIDIA Isaac ROS | Nav2 | ONNX | ONNX Runtime | Omniverse | Open3D | PCL | Performance Profiling | PyTorch | Python | Quantization | ROS | ROS2 | RTAB-MAP | RViz | Radar | Rosbag | Runtime Monitoring | SLAM | Sensor fusion | TensorFlow | TensorRT | Tf2 | URDF | WandB
Education
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