Job Description

About Company

-----------------


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 Details

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.