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Senior Data Scientist - Computer Vision (Autonomous UAV)

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Qualgo

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Location:
Vietnam , Ho Chi Minh City

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

As a Senior Data Scientist focused on Computer Vision for autonomous UAVs, you will be a key contributor to the design, training, and deployment of on-board perception systems that enable safe, reliable flight. You’ll specialize in real-time vision for tasks such as obstacle detection/avoidance, target recognition, landing, and mapping, and you’ll work with large, diverse image/video datasets - including simulated data - to deliver production -grade models that run under tight SWaP (size/weight/power) constraints. You’ll collaborate closely with autonomy, controls, firmware, and safety/compliance teams to ship a world -class perception stack that meets operational and regulatory requirements across multiple markets.

Job Responsibility:

  • Model Development & Deployment: Design, develop, train, evaluate, and deploy computer vision models for autonomous UAV applications
  • Work with large, heterogeneous datasets (real flight logs, edge cases, nighttime/thermal, adverse weather) plus simulation and synthetic data with domain randomization
  • Implement data preprocessing, augmentation, active learning, and scalable labeling strategies
  • Use PyTorch/TensorFlow and OpenCV
  • productionize models with ONNX/TensorRT, quantization/pruning, and other inference optimizations for edge accelerators (e.g., NVIDIA Jetson)
  • Integrate models into the autonomy stack (ROS 2, PX4/ArduPilot) with real-time interfaces, fault detection, and safe fallback behaviors
  • Deploy and monitor models in production
  • build telemetry loops for continuous improvement
  • Data Analysis & Insights: Define and track performance metrics (e.g., mAP, MOTA, latency/FPS, power/thermal budgets) and go/no-go criteria for flight
  • Analyze failure modes from flight tests and post-flight logs
  • deliver clear recommendations to product/engineering
  • Collaboration: Partner with product and mission teams to translate requirements (range, altitude, environment, targets) into CV solutions
  • Work closely with autonomy/controls/firmware to ensure end-to-end system performance and timing guarantees
  • Collaborate with safety & compliance to align with airspace and operational regulations in target markets (e.g., Vietnam, Thailand, UAE), ensuring appropriate data handling and operational procedures
  • Share best practices with fellow data scientists
  • contribute to standards, code reviews, and documentation
  • Research & Innovation: Stay current with CV/robotics literature (Transformers for vision, event-based vision, uncertainty/OOD detection)
  • Explore novel techniques (self-supervised learning, NeRF/occupancy mapping, learned sensor fusion) and evaluate them in SITL/HITL and flight tests
  • Champion MLOps: experiment tracking, model registry, CI/CD for ML, reproducible training, and model monitoring on-drone and in the cloud

Requirements:

  • Bachelor's degree, Master’s or PhD in Computer Science, Robotics, EE, or related field (or equivalent experience)
  • 5–8+ years in data science/ML with a strong focus on computer vision and at least 2+ years deploying models to real-time or safety-critical systems
  • Proficiency in Python (preferred) and C++ for performance-critical on-board code
  • Deep knowledge of modern CV: detection/tracking, segmentation, depth/optical flow, VIO/SLAM, 3D geometry (camera models, epipolar geometry, PnP)
  • Hands-on with ROS/ROS 2 and flight stacks (PX4/ArduPilot), including time synchronization and message pipelines
  • Experience deploying to edge hardware (e.g., NVIDIA Jetson Orin/Xavier) with TensorRT/ONNX
  • comfort with quantization/pruning and memory/latency trade-offs
  • Strong sensor calibration experience (mono/stereo cameras, IMU, LiDAR) and fusion (EKF/UKF or learned)
  • Proven track record of production deployments, telemetry-driven iteration, and operating within latency, power, and thermal constraints
  • Excellent communication
  • ability to lead/mentor and collaborate across autonomy, firmware, and product

Nice to have:

  • Prior work on autonomous robots/UAVs or other safety-critical platforms
  • Experience with simulation (AirSim, Gazebo/Ignition), synthetic data, and domain randomization
  • Familiarity with thermal/event cameras, nighttime/low-light perception, and adverse-weather robustness
  • Knowledge of mapping (TSDF/occupancy grids, loop closure), NeRF/implicit fields, and multi-view geometry at scale
  • Exposure to cloud platforms (AWS/GCP/Azure) for data pipelines and model training
  • Kubernetes is a plus
  • Experience working under regional regulations/operational constraints (e.g., Southeast Asia/Middle East operations)
What we offer:
  • Meaningful work & impact: Work on products that protect users’ data and make a real difference in people’s lives
  • Competitive rewards: Great work deserves great rewards — enjoy competitive pay and recognition for contribution and impact you make
  • Growth & well-being: Fuel your growth with hands-on learning. Enjoy extra leaves, and premium healthcare for you and your family
  • People & workspace: Collaborate, create, and celebrate — a modern workspace built for teamwork, fun, and innovation
  • Young & dynamic environment: Work with stunning colleagues where creativity thrives, ideas are welcome, and every day brings new challenges and opportunities

Additional Information:

Job Posted:
January 10, 2026

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