AI Engineer I - Automotive Division

DeltaX is seeking an In-Cabin AI Engineer to develop state-of-the-art Driver Monitoring Systems (DMS) and Occupant Monitoring Systems (OMS). The engineer will build, optimize, and deploy in-cabin monitoring features such as gaze tracking, head pose, seatbelt detection, hand-on-wheel, and occupant safety analytics on embedded automotive boards (e.g., TI TDA4).

The role requires hands-on expertise in computer vision, deep learning, and embedded AI optimization, with strong implementation skills. Basic English communication is required.

Key Responsibilities:

1. Model Development:

• Implement computer vision tasks: Classification, Object Detection, Keypoint Detection, Pose Estimation, Segmentation.

• Build algorithms for DMS/OMS: gaze estimation, drowsiness, distraction, seatbelt, airbag zones, posture recognition.

• Develop real-time pipelines using DMS/OMS cameras and sensor fusion where applicable.

2. Model Optimization & Deployment:

• Convert and optimize AI models (ONNX, TensorRT, TIDL) for low-latency inference.

• Implement efficient pre/post-processing for real-time video streams.

• Optimize models using quantization, pruning, knowledge distillation.

3. Embedded Systems Integration:

• Integrate ICMS features with automotive ECUs and middleware.

• Ensure real-time performance and power compliance.

4. Validation & Testing:

• Conduct in-cabin testing under varied conditions (lighting, occlusions, multiple occupants).

• Evaluate model accuracy, latency, and robustness.

Qualifications / Skills Required:

• Bachelors / Masters in Computer Science, Electrical Engineering, or related field.

• 3+ years of experience in computer vision / AI system development (preferably Automotive).

• Strong proficiency in Python & C++.

• Hands-on experience with DMS/OMS applications (face detection, gaze tracking, head pose, body/hand landmarks).

• Knowledge of PyTorch, TensorFlow, ONNX Runtime.

• Embedded AI deployment experience: TI TDA4, NVIDIA Jetson, ARM boards.

• Optimization using TensorRT, TIDL, OpenVX, CUDA.

• Expertise in OpenCV, MediaPipe, Dlib.

• Strong problem-solving, debugging, and basic English communication skills.

Preferred Qualifications:

• Experience with multi-camera synchronization and calibration.

• Familiarity with automotive safety standards (Euro NCAP, NHTSA ICMS guidelines).

• Exposure to multi-modal fusion (cameras + seat sensors / CAN bus).

• Experience with cloud-to-edge AI model deployment pipelines.