Senior Computer Vision EngineerAbout the Role

We are an early-stage deep-tech startup building real-time AI systems that run on edge hardware. We are looking for a Senior Computer Vision Engineer to be one of our first technical hires — someone who can take a computer vision system from concept to a working product deployed on physical devices, end to end.

This is a hands-on, build-everything role. You will not just train models — you will work across the entire pipeline from data to deployment on edge hardware running in real-world environments. If you have shipped a CV product on embedded/edge devices and enjoy working across the full stack, this role is for you.

Note: We are looking to hire immediately. Only candidates who can join on an immediate or very short notice will be considered.What You Will Do

Design, train, and fine-tune object detection and tracking models for real-time inference

Build the complete computer vision pipeline — from video ingestion to detection, tracking, and analytics output

Optimize models for edge deployment using TensorRT, quantization (INT8), and other acceleration techniques

Deploy and run models on NVIDIA Jetson devices, handling the full stack from OS setup to production inference

Build robust video streaming pipelines using RTSP, GStreamer, and NVIDIA DeepStream

Implement multi-object tracking across multiple camera streams

Write the application logic and services around the models

Ensure the system runs reliably unattended in real-world conditions — handling reboots, network drops, and hardware constraints

Benchmark and continuously improve model accuracy, latency, and throughput

Set up data annotation pipelines and manage training datasets

What We Are Looking For

Must have

4+ years of hands-on computer vision experience





Strong proficiency in Python and PyTorch

Deep experience with object detection models (YOLO family, RT-DETR, or similar)

Proven experience deploying models on NVIDIA Jetson or similar edge hardware — you have personally taken a model from training to running live on a device

Experience with TensorRT, ONNX, and model optimization for edge inference

Strong understanding of video processing — RTSP, GStreamer, OpenCV

Multi-object tracking experience (ByteTrack, DeepSORT, or similar)

Comfortable writing production-grade code, not just research notebooks

Available to join immediately or on very short notice

Strongly preferred

Experience with NVIDIA DeepStream

Familiarity with Linux systems programming (Ubuntu/JetPack)

C++ knowledge for performance-critical components

Experience building complete products end to end, not just isolated models

Background in robotics, autonomous systems, drones, IoT, or embedded AI

Bonus

Prior experience at an early-stage startup

Experience setting up MLOps and OTA update pipelines for edge devices

Open-source contributions or public CV projects

Who You Are A builder who takes initiative and gets things working, not just theoretically correct

Comfortable with ambiguity and wearing multiple hats in an early-stage environment

Able to move fast, prototype quickly, and iterate based on real-world results

Excited to work close to hardware and see your models run in the physical world

What We Offer

Competitive salary The opportunity to build a product from the ground up and shape its technical foundation A quick-moving, high-autonomy environment

Direct impact on a product that runs in the real world

Location: Hyderabad · On-site Type: Full-time Experience: 4+ years Joining: Immediate / Short notice only

📌 Computer Vision Engineer (Hyderabad)
🏢 Linq Tech
📍 Hyderabad