Software Engr II

Honeywell
Pune
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 3-5 yearsEducation: mastersSkills: ["Problem-solving","Structured debugging","Cross-functional collaboration","Robustness-focused analysis","Performance optimization"]

Build and optimize end-to-end video analytics solutions that turn raw streams into actionable intelligence. Design and deploy computer vision models for object detection, tracking, classification, action recognition, and anomaly detection, while improving robustness through real-world failure analysis. Implement low-latency real-time processing pipelines using GStreamer/FFmpeg/DeepStream and streaming protocols, and engineer backend services for multi-camera orchestration, metadata handling, monitoring, testing, and CI/CD releases.

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FursaFursa
Honeywell
Honeywell
2 days ago

Software Engr II

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Build and optimize end-to-end video analytics solutions that turn raw streams into actionable intelligence. Design and deploy computer vision models for object detection, tracking, classification, action recognition, and anomaly detection, while improving robustness through real-world failure analysis. Implement low-latency real-time processing pipelines using GStreamer/FFmpeg/DeepStream and streaming protocols, and engineer backend services for multi-camera orchestration, metadata handling, monitoring, testing, and CI/CD releases.
Location: Pune
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and develop end-to-end video analytics pipelines from ingestion and decoding through inference and post-processing.
  • •Build, fine-tune, test, and deploy computer vision models for object detection, tracking, classification, action recognition, and anomaly detection.
  • •Analyze model outputs and failure cases to improve robustness for occlusion, crowd density, lighting variation, and camera diversity.
  • •Optimize inference performance for edge and cloud GPUs using runtimes such as TensorRT, ONNX Runtime, or OpenVINO.
  • •Implement real-time video processing with tools like GStreamer/FFmpeg/DeepStream and low-latency streaming over RTSP/WebRTC/HLS, and support dataset curation and retraining workflows.

Key Requirements

  • •B.E./B.Tech/M.E./M.Tech in Computer Science, Electronics, AI/ML, Mathematics, or a related field.
  • •3-5 years of professional experience in computer vision, video analytics, machine learning, or a related engineering role.
  • •Strong programming skills in Python (preferably C++) and good command of Linux development environments.
  • •Hands-on experience with deep learning frameworks such as PyTorch and/or TensorFlow.
  • •Practical knowledge of video processing and CV tooling (e.g., OpenCV, GStreamer, FFmpeg, NVIDIA DeepStream) and deploying/optimizing models with inference runtimes such as TensorRT, ONNX, or OpenVINO.
Experience:3-5 yearsComputer visionVideo analyticsMachine learningDeep learningReal-time systemsMLOps
Education:Master's in Computer Science, Electronics, AI/ML, Mathematics, or a related field
Skills:Problem-solvingStructured debuggingCross-functional collaborationRobustness-focused analysisPerformance optimization
Languages:English
Tech Stack:PythonC++LinuxPyTorchTensorFlowOpenCVGStreamerFFmpegNVIDIA DeepStreamTensorRTONNXOpenVINORESTGRPCMessage queuesDockerRTSPWebRTCHLSSRT

Company Brief

Honeywell
Global diversified technology and manufacturing company providing aerospace systems, building technologies, performance materials, and safety & productivity solutions for industrial, commercial, and consumer markets.
Industry: Conglomerates & Holding Companies
Company Size: Enterprise (1,001+ employees)
Revenue: USD 25B to 50B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Charlotte, United States
Founded: 1906
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Glassdoor: 3.8
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