Job Description - Senior Software Engineer - Perception & Sensor Fusion (Deep Learning)
eMooVit is specialized in providing autonomous driving solutions. The company is located
in Cyberjaya with a business focus on a complete solution for last-mile autonomous
mobility. We are looking for a Senior Software Engineer to work in Perception, developing
algorithms for camera, LiDAR, and Radar based sensing. You will work on software
development, sensor fusion, model deployment, testing, and validation across our
Engineering teams.
Responsibilities
- Develop perception algorithms for object detection, tracking, classification, and segmentation using deep learning.
- Design and maintain multi-sensor fusion pipelines (LiDAR, camera, GPS/IMU, Radar) time synchronization, calibration, and coordinate-frame transforms.
- Train, validate, and fine-tune AI/ML models to meet performance, accuracy, and reliability requirements
- Develop algorithms and optimise for LiDAR and Camera sensor data processing, including tracking filters (e.g., Kalman filters, particle filters), feature extraction, object detection, and sensor fusion techniques
- Integrate trained models into the production system, ensuring smooth deployment and operation under production-grade ROS (1/2) nodes in C++.
- Take models from research to deployment - TensorRT conversion, quantization, and latency/throughput optimization on NVIDIA embedded platforms.
- Build and maintain offline replay/validation tooling against recorded sensor data.
- Collaborate with cross-functional teams (data engineering, software, hardware) to ensure end-to-end system integration
- Maintain documentation of AI models, pipelines, and integration processes for maintainability and scalability
- Stay updated on relevant AI/ML advancements and recommend improvements to existing systems
Requirements
- Degree, Master's or PhD in Computer Science, Engineering, or a related field (or equivalent industry experience).
- Strong C/C++ and object-oriented design skills on Linux, plus Python for tooling.
- Working knowledge of LiDAR/camera geometry: calibration, projection, plane fitting, point-cloud registration.
- ROS (1 and 2) experience.
- 3+ years with a deep-learning stack such as OpenCV, TensorFlow, Tensor RT, PyTorch, or Caffe.
- 5+ years of Linux system development.
- 3+ years on robotic/autonomous/ADAS systems, with Camera and/or LiDAR and/or Radar development.
- Proficient with Git, Docker, and CI/CD pipelines.
- Self-motivated, able to own ambiguous problems end-to-end with minimal supervision.
Nice to have
- Experience with foundation/promptable segmentation models.
- Experience with Open3D, PCL, or similar point-cloud libraries.
- Experience with geospatial/GIS data (GPS alignment, routing APIs).
- Experience building 3D reconstructions or maps from sensor data.
Job Type: Full-time
Pay: RM5,000.00 - RM6,500.00 per month
Benefits:
- Cell phone reimbursement
- Free parking
- Health insurance
- Meal provided
- Opportunities for promotion
Education:
- Bachelor's (Preferred)
Work Location: In person