Senior Software Engineer Cloud & Edge Inference (NVIDIA Jetson)

10 - 14 years

0 Lacs

Posted:3 days ago| Platform: Shine logo

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Job Description

You are being offered a position as a Senior Software Engineer in Cloud & Edge Inference (NVIDIA Jetson) at OURS GLOBAL, a leading offshore IT & ITeS outsourcing company based in Bangalore. As a Senior Software Engineer, you will play a crucial role in designing and implementing a unified Docker-based deployment pipeline for cloud and edge environments, optimizing real-time inference services for GenAI models on NVIDIA Jetson devices, and collaborating with AI/ML teams for scalable hybrid deployments. **Key Responsibilities:** - Design & implement a Docker-based deployment pipeline for seamless cloud and edge integration. - Optimize and adapt Python/FastAPI inference services for real-time GenAI performance on edge devices. - Build & maintain Kubernetes deployments for hybrid workloads (cloud + NVIDIA Jetson). - Collaborate with AI/ML teams to integrate and deploy inference models to edge environments. - Troubleshoot, optimize, and stabilize inference workloads under constrained edge hardware conditions. **Skills & Qualifications:** - 10+ years of professional software engineering experience. - Strong proficiency in Python (FastAPI experience preferred). - Proven expertise with Kubernetes and container orchestration at scale. - Hands-on experience with real-time AI inference on embedded GPUs (NVIDIA Jetson or similar). - Solid knowledge of performance optimization and resource constraints in edge environments. - Strong problem-solving ability and collaborative mindset across AI/ML and infrastructure teams. **Preferred Qualifications:** - Experience with GPU acceleration frameworks (CUDA, TensorRT). - Familiarity with CI/CD pipelines for containerized deployments. - Knowledge of network optimization for cloud-to-edge communication. - Background in distributed systems and scalable architectures. If you choose to accept this role, you will have the opportunity to work on cutting-edge AI inference solutions across cloud and edge, exposure to hybrid cloud architectures with global clients, and be a part of a collaborative and innovation-driven work culture with competitive salary packages aligned with industry standards.,

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