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Senior Software Engineer Cloud & Edge Inference

Senior Software Engineer Cloud & Edge Inference

Ours Global

10 - 15 years

16 - 20 Lacs

bengaluru

Posted:3 hours ago| Platform:

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Skills Required

computer science orchestration network optimization cloud support services performance optimization outsourcing ites digital marketing python

Work Mode

Work from Office

Job Type

Full Time

Job Description

As a Senior Software Engineer Cloud & Edge Inference (NVIDIA Jetson), you will design and implement a unified Docker-based deployment pipeline for cloud and edge environments. You will optimize real-time inference services for GenAI models (LLMs and beyond) running on NVIDIA Jetson devices, while collaborating with AI/ML teams to enable scalable hybrid deployments. This role combines cloud orchestration expertise with edge performance optimization, making it critical to our AI-driven solutions strategy.

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.

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Senior Software Engineer Cloud & Edge Inference