Senior Software Engineer – Cloud & Edge Inference (NVIDIA Jetson)

Customer Support Services; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Continuous learning opportunities in AI, edge computing, and advanced cloud technologies

Collaborative work culture

Competitive salary packages

Job summary

A leading offshore IT outsourcing company in Bengaluru is seeking a Senior Software Engineer to design a Docker-based deployment pipeline for cloud and edge environments. Candidates should have 10+ years of experience, strong Python skills, and expertise in Kubernetes. The role focuses on optimizing AI inference models on NVIDIA Jetson devices, offering a competitive salary and opportunities for innovative projects.

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.

Responsibilities

• Design & implement a Docker-based deployment pipeline.
• Optimize Python/FastAPI inference services for real-time performance.
• Build & maintain Kubernetes deployments for hybrid workloads.
• 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

Python

Kubernetes

Container orchestration

Real-time AI inference

Problem-solving

Education

Bachelor’s/Master’s degree in Computer Science

Tools

Docker

FastAPI

CUDA

TensorRT

CI/CD

Job description

Join OURS GLOBAL as a Senior Software Engineer – Cloud & Edge Inference (NVIDIA Jetson)

OURS GLOBAL is a leading offshore IT & ITeS outsourcing company delivering innovative solutions across software development, cloud, SaaS, BI, and IT support services. With global delivery capabilities and a strong focus on scalability, transparency, and performance, we empower businesses across industries to accelerate growth and efficiency through technology.

We are currently hiring a Senior Software Engineer – Cloud & Edge Inference (NVIDIA Jetson) at our Bangalore office. If you are passionate about cloud-edge hybrid architectures, AI inference optimization, and containerized deployments, this is your chance to work on cutting-edge GenAI workloads with global impact.

Job Title: Senior Software Engineer – Cloud & Edge Inference (NVIDIA Jetson)

Salary: As per Industry Standards

Education: Bachelor’s/Master’s degree in Computer Science, Engineering, or related fields.

Experience: 10+ Years in Software Engineering

Job Summary:

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.

What We Offer:

• Opportunity to work on cutting-edge AI inference solutions across cloud and edge.
• Exposure to hybrid cloud architectures with global clients.
• A collaborative and innovation-driven work culture.
• Competitive salary packages aligned with industry standards.
• Continuous learning opportunities in AI, edge computing, and advanced cloud technologies.

OURS GLOBAL is an equal opportunities employer and welcomes applications from diverse candidates.