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

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

Location: Bangalore [Remote/Hybrid]

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.

Job Application Details:

Candidates fulfilling the above requirements may email their resume to careers@oursglobal.com, walk-in or you can submit your resume online by clicking the "Apply Now" button below.