1 day ago
Bengaluru, IndiaSenior
Responsibilities
- Design and develop end-to-end Edge AI and Computer Vision solutions.
- Evaluate and integrate NVIDIA Jetson, industrial PCs, GPUs, NPUs, cameras, sensors, actuators, and PLCs.
- Develop computer vision applications for detection, classification, segmentation, tracking, OCR, pose estimation, and anomaly detection.
- Optimize models for edge deployment using quantization, pruning, FP16/INT8 inference, and hardware acceleration.
- Build video and inference pipelines with OpenCV, GStreamer, NVIDIA TensorRT, NVIDIA DeepStream, Intel OpenVINO, and ONNX Runtime.
- Implement camera calibration, multi-camera synchronization, image preprocessing, sensor fusion, device monitoring, logging, OTA updates, and remote troubleshooting.
- Develop edge applications and edge-to-cloud integrations using Python, C/C++, Linux, Docker, MQTT, REST APIs, and IoT platforms.
- Support PoC, pilot, and production deployments at customer locations and troubleshoot hardware, software, networking, and model issues.
- Guide junior engineers and contribute to technical reviews and solution design discussions.
Requirements
- Minimum 7.5 years of experience is required, with at least 8 years of overall software engineering experience stated elsewhere in the posting.
- Strong hands-on experience in Edge Computing, Computer Vision, and Machine Learning.
- Experience with NVIDIA Jetson, industrial edge PCs, AI accelerator hardware, camera technologies, image/video processing, and camera integration.
- Strong understanding of computer vision algorithms, model architectures, and real-world conditions such as low light, glare, occlusion, motion blur, and vibration.
- Experience with PyTorch, TensorFlow, ONNX, Python, and preferably C/C++.
- Experience optimizing models for latency, FPS, memory, power, and compute constraints, plus experience with Linux, Docker, and embedded/edge software environments.
- Understanding of networking, IoT protocols, edge-to-cloud communication, MLOps, model versioning, and deployment lifecycles.
- Experience taking at least one Computer Vision solution from PoC through pilot or production deployment.
- Experience with distributed deployments involving multiple cameras and edge devices is preferred; industrial, manufacturing, transportation, automotive, retail, robotics, or smart infrastructure experience is advantageous.
- 15 years of full-time education is required.
Benefits
- The position is based at the Accenture Bengaluru office.
- The role includes customer-location PoC, pilot, and production deployments.
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.