Job Description:

We are developing an edge-AI system for real-time detection, mapping, and alerts. The role involves building computer vision models, embedded firmware, and on-device intelligence that can accurately detect anomalies under diverse real-world conditions.

Key Responsibilities

• Develop, train, and fine-tune computer vision models (YOLO family, detection/segmentation frameworks)
• Create and manage datasets, including data collection, cleaning, and annotation
• Optimise ML models for embedded devices (quantisation, pruning, TensorRT/TFLite/ONNX acceleration)
• Integrate and calibrate cameras, IMUs, GNSS, and other sensors for road-condition monitoring
• Build firmware and on-device processing pipelines using Python/C++ on platforms like Jetson, Raspberry Pi, and ARM MCUs
• Conduct field tests on various environments, benchmark accuracy, and iterate model improvements
• Work with hardware and software teams to convert prototypes into reliable, production-ready systems

What We Offer

• Internship:
  • Stipend: ₹5,000/month + upto ₹5,000 performance bonus
  • PPO opportunities for exceptional candidates with a CTC range of ₹3–6 LPA
• Full-time:
  • CTC: ₹3–6 LPA (Based on expertise and role fit)
• Certificate & Letter of Recommendation
• Flat, ownership-driven culture with direct mentorship from founders and professors
• Collaborative, engineering-driven environment focused on R&D and rapid iteration

What You"ll Gain

• Hands-on experience with cutting-edge edge-AI, computer vision, and embedded systems
• Real-world exposure to deploying AI models in dynamic outdoor environments
• Experience in system optimisation, sensor fusion, and hardware-software co-design
• End-to-end understanding of taking a deep-tech product from prototype to pilot to scale
• Opportunity to lead modules and shape the core technology in a fast-growing startup

Desired Candidate Profile

• Strong fundamentals in deep learning and computer vision (CNNs, detection architectures)
• Hands-on experience with YOLO (v5/v8/v9), PyTorch/TensorFlow, and OpenCV
• Experience training custom datasets for detection tasks
• Proficiency in Python and working knowledge of C/C++ for embedded programming
• Experience with Jetson, Raspberry Pi, or ARM-based embedded platforms
• Familiarity with camera integration, sensors (IMU/GPS), and IoT protocols
• Good debugging skills, problem-solving ability, and willingness for field testing

Hiring Process

• Application Screening: Resume + portfolio
• Design Assignment: A task to access your technical and creative ability
• Interview (Google Meet or In-person): Discussion on assignment, problem-solving approach, and fit with the team

How to Apply

• Please share your resume with your portfolio to core.atsc@gmail.com