Computer Vision & Autonomy Engineer | Pune

Experience: 3–4 Years
Location: Pune

PATTERNS7 is looking for a Computer Vision & Autonomy Engineer to work on next-generation robotic systems operating in complex, unstructured, and GPS-denied environments.

You will work across perception, sensor fusion, mapping, localization, and planning, contributing to real-time autonomy systems that combine multiple sensors and operate reliably in challenging field conditions.

This is a hands-on engineering role involving both algorithm development and system-level integration.

Key Responsibilities:

• Build and integrate perception, mapping, localization, and planning modules for autonomous systems.
• Develop multi-sensor fusion using camera, LiDAR, radar, IMU, and GPS.
• Build real-time scene understanding, tracking, and world modelling pipelines.
• Optimize autonomy algorithms for embedded platforms such as NVIDIA Jetson.
• Work on sensor calibration, synchronization, field testing, and system integration.
• Debug and improve autonomy systems under real-world and degraded conditions.

Skillset:

• 3–4 years of experience in Robotics, Computer Vision, or Autonomous Systems.
• Strong C++ and Python programming skills.
• Hands-on experience with ROS 2 and Linux.
• Understanding of sensor fusion, localization, mapping, and motion planning.
• Experience with camera, LiDAR, IMU, radar, or GPS.
• Experience with NVIDIA Jetson, CUDA, or embedded AI platforms.
• Knowledge of multithreading and real-time systems.
• Exposure to GIS/geospatial data, Gazebo, CARLA, or Isaac Sim is a plus.
• Strong debugging and system-integration skills.

Qualifications

• Master’s, or PhD in Robotics, Autonomous Systems, Computer Vision, AI/ML, Computer Science, or a related field.
• Experience working on end-to-end autonomy systems in real-world environments.
• Exposure to large-scale mapping, multi-agent systems, or distributed robotics.
• • Strong debugging skills across perception, fusion, and planning pipelines.

If this role is found exciting to you, email your CV to [email protected]