Job Description

Job Tittle: Senior Robotics Engineer - Perception


Location: Bangalore | Full-Time | Experience: 5-8 Years



About Rekise Marine

Rekise Marine is building autonomous ships and submarines that operate in the world's most hostile environments. We're executing India's flagship autonomous submarine project — the Jalkapi XLAUV — on order from the Indian Navy. This is an unmanned submarine weighing over 20 tons that can travel 5,000+ kilometers autonomously and operate in the ocean for 30+ days at a time.

We're creating some of the largest autonomous robots in the world, machines with direct impact on the global economy and national security. While autonomous cars in India may still be a dream, autonomous ships and submarines are already a reality, and it is possible to build for the world from India.



The Role

We're seeking a Senior Robotics Engineer specializing in Perception to develop the sensory intelligence for our autonomous submarines. You'll build AI/ML pipelines that enable submarines to understand their underwater environment using sonar, cameras, and acoustic sensors in some of the most challenging perceptual conditions on Earth. This role involves designing multi-sensor fusion frameworks, implementing real-time object detection and tracking systems, and ensuring robust perception under extreme conditions including turbidity, low-light, and noisy acoustic environments. You'll transform raw sensor data into actionable intelligence that enables safe autonomous navigation and mission execution.


Key Responsibilities

  • AI/ML Perception Pipelines: Develop end-to-end AI/ML pipelines for sonar, LiDAR, radar, and camera-based perception. Implement deep learning models for underwater scene understanding, object classification, and anomaly detection in marine environments.
  • Multi-Sensor Fusion: Design and implement multi-sensor fusion frameworks combining acoustic, optical, and electromagnetic sensors for comprehensive environmental awareness. Develop robust algorithms that handle sensor degradation and failure gracefully.
  • Real-time Detection & Tracking: Implement real-time object detection, segmentation, and tracking for underwater missions including obstacle avoidance, seabed mapping, and target identification. Optimize algorithms for embedded deployment with strict latency requirements.
  • Robust Underwater Perception: Enhance perception robustness under challenging conditions including turbidity, low-light, pressure variations, and acoustic noise. Develop adaptive algorithms that maintain performance across varying environmental conditions.
  • Model Optimization & Deployment: Apply optimization techniques (quantization, pruning, distillation) to deploy complex models on resource-constrained embedded systems. Ensure real-time performance on submarine compute platforms.
  • Data Pipeline & Training: Build complete ML pipelines including data collection, annotation, training, and edge inference. Develop synthetic data generation and augmentation strategies for underwater scenarios.


Required Qualifications

  • B.Tech/M.S./Ph.D. in Computer Vision, Machine Learning, Robotics, or related field
  • 5+ years of experience in AI/ML for robotic perception systems
  • Strong expertise in deep learning frameworks (PyTorch/TensorFlow)
  • Experience with computer vision and signal processing algorithms
  • Proficiency in C++ and Python for production ML systems
  • Knowledge of sensor fusion techniques and probabilistic frameworks
  • Experience with GPU acceleration and optimization (CUDA/TensorRT)
  • Understanding of ROS/ROS2 for robotics integration
  • Full-stack ML experience: data collection, training, deployment, monitoring
  • Strong foundation in mathematics, statistics, and optimization


Preferred Experience

  • Publications in top-tier conferences (CVPR, ICCV, NeurIPS, ICRA, IROS)
  • Experience with underwater perception and sonar/acoustic processing
  • Hands-on deployment of perception systems on real autonomous vehicles
  • Edge AI optimization and embedded system deployment
  • Experience with active learning and few-shot learning techniques
  • Background in 3D perception, SLAM, and mapping
  • Knowledge of marine biology and underwater environmental factors




Why Join Rekise Marine

  • Unique Perception Challenge: Build perception systems for the most challenging environment on Earth and underwater, where traditional sensors fail and new approaches are needed.
  • AI at Scale: Deploy AI on 20-ton submarines operating autonomously for weeks. Your models will make critical decisions in real-world defense operations.
  • Research Impact: Advance the state-of-the-art in underwater perception while solving practical problems. Publish groundbreaking research with real-world validation.
  • Full Stack Ownership: Own the complete perception pipeline from sensor selection to deployed ML models. Build the eyes and ears of autonomous submarines.
  • Domain Expertise: Develop expertise in underwater AI/ML, a field with massive potential but few practitioners globally.
  • Competitive Package: Market-leading Compensation.

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