Senior Computer Vision Software Engineer

Stryker India Private Limited; Gurugram District; Hybrid; INR 2,500,000 - 4,500,000; Full time

Job summary

Stryker India Private Limited is seeking a Senior Software Engineer specializing in Computer Vision to research, architect, and deploy high-throughput vision models. You'll work on real-time object detection, tracking, and segmentation, bridging applied research with edge/cloud production engineering.

You will experiment with CNN backbones, Vision Transformers, and multimodal architectures while optimizing inference speed for real-world constraints in a hybrid work setup in Gurugram.

Qualifications

• Bachelor's degree in software engineering/ Computer Science or related discipline.
• 5+ years of work experience or Master’s in relevant disciplines with 5+ years of experience or PhD with 2+ years of work experience.
• 5+ years hands-on experience designing and training computer vision models in production or applied research environments.
• Proficiency in Python and PyTorch (or TensorFlow); solid foundation in OpenCV and NumPy.
• Proficiency in end-to-end MLOps practices.
• In-depth theoretical and practical grasp of Classic & modern CNNs (ResNet, EfficientNet, ConvNeXt).
• Vision Transformers & attention mechanisms (ViT, Swin, DETR, RT-DETR).
• Modern real-time detector architectures (YOLO*, RT-DETR, SSD).
• Excellent communication skills with the ability to work cross-team.
• Good to have Experience with video streaming protocols and pipelines (RTSP, WebRTC, GStreamer, FFmpeg, or NVIDIA DeepStream).
• Travel Percentage: None
• Experience Level Senior Level

Responsibilities

• Evaluate, benchmark, and adapt frontier vision architectures (e.g., YOLO variants, R-CNN, ViTs, Transformers, MobileNet backbones).
• Design, train, and fine-tune computer vision models using PyTorch, TorchVision etc.
• Architect data preprocessing, augmentation and annotation workflows for imbalanced and noisy visual datasets.
• Optimize deep learning models for strict latency/throughput budgets using TensorRT, ONNX Runtime, DeepStream etc.
• Apply model compression techniques including post-training quantization (INT8/FP16) and knowledge distillation.
• Implement active learning loops and continuous monitoring systems to track data drift and edge-case model failures in production.

Skills

Python

PyTorch

OpenCV

NumPy

MLOps

CNNs

Vision Transformers

Attention mechanisms

Communication skills

Cross-team collaboration

Education

Bachelor's degree in Computer Science or related field

Master’s degree in relevant discipline

PhD in relevant discipline

Tools

TensorRT

ONNX Runtime

DeepStream

YOLO variants

R-CNN

ViT

RT-DETR

SSD

GStreamer

FFmpeg

NVIDIA DeepStream

Job description

Senior Software Engineer-Computer vision

Work Flexibility: Hybrid

We are seeking a Computer Vision/AI Engineer to research, architect, and deploy state-of-the-art vision models for high-throughput, low-latency computer vision pipelines. In this role, you will work on problems spanning real-time object detection, multi-class classification, tracking, and instance segmentation. You will bridge cutting-edge applied research with edge/cloud production engineering—experimenting with advanced CNN backbones, Vision Transformers (ViTs), and multimodal architectures while optimizing inference speed for real-world constraint.

Technical Responsibilities

• Evaluate, benchmark, and adapt frontier vision architectures (e.g., YOLO variants, R-CNN, ViTs, Transformers, MobileNet backbones).
• Design, train, and fine-tune computer vision models using PyTorch, TorchVision etc.
• Architect data preprocessing, augmentation and annotation workflows for imbalanced and noisy visual datasets.
• Optimize deep learning models for strict latency/throughput budgets using TensorRT, ONNX Runtime, DeepStream etc.
• Apply model compression techniques including post-training quantization (INT8/FP16) and knowledge distillation.
• Implement active learning loops and continuous monitoring systems to track data drift and edge-case model failures in production.

Minimum Qualification

Bachelor's degree in software engineering/ Computer Science or related discipline with 5+ years of work experience or Master’s in relevant disciplines with 5+ years of experience or PhD degree in relevant disciplines with 2+ years of work experience.

Preferred Qualifications

• 5+ years hands-on experience designing and training computer vision models in production or applied research environments.
• Proficiency in Python and PyTorch (or TensorFlow); solid foundation in OpenCV and NumPy.
• Proficiency in end-to-end MLOps practices.
• In-depth theoretical and practical grasp of Classic & modern CNNs (ResNet, EfficientNet, ConvNeXt).
• Vision Transformers & attention mechanisms (ViT, Swin, DETR, RT-DETR).
• Modern real-time detector architectures (YOLO*, RT-DETR, SSD).
• Excellent communication skills with the ability to work cross-team.
• Good to have Experience with video streaming protocols and pipelines (RTSP, WebRTC, GStreamer, FFmpeg, or NVIDIA DeepStream).
• Travel Percentage: None
• Experience Level Senior Level