Bengaluru Karnataka Nvidia technical support Jobs – 118 Open Jobs Today

Senior Software Engineer
Microsoft —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- DevOps
Backend SDE-III
cloudsek —Bengaluru, Karnataka
- DevOps
- Databases
- SQL
- Flexible schedule
- Food provided
Senior Site Reliability Engineering - Storage
NVIDIA —Bengaluru, Karnataka
- Full-time
- Computer Science
- DevOps
- Bachelor's degree
ML Ops Engineer
SatSure Analytics India —Bengaluru, Karnataka
- Call employer
- Computer Science
- AWS
- Bachelor's degree
- Health insurance
- Paid time off
Machine Learning-Lead AI and Data Solutions Engineer II
Deloitte —Bengaluru, Karnataka
- Azure
- Master's degree
- SQL
17h
AI Infra Architect- Lead Cloud Integrated Infrastructure Engineer II
Deloitte —Bengaluru, Karnataka
- Computer Science
- Master's degree
- Bachelor's degree
10d
Architect Edge AI & Robotics
Aptiv plc —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Master's degree
- Health insurance
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NTT Ltd —Bengaluru, Karnataka
- Azure
- Oracle
- Computer Science
10d
Senior Principal Software Engineer - OpenShift sandbox containers
Red Hat, Inc. —Bengaluru, Karnataka
- Full-time
- Azure
- English
- AWS
Co-Manage Specialist- Intern
cloudsek —Bengaluru, Karnataka
- Rotational shift
- Azure
- AWS
- Machine learning
- Flexible schedule
- Food provided
7d
Full Stack Engineer – Physical AI & Digital Twin Systems
Siemens —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
13d
Software Engineer, DevOps
h2o.ai —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
DevRel Engineer II
HackerRank Careers —Bengaluru, Karnataka
- AWS
- Software development
- AI
Quick apply
Technology Architect
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- Doctoral degree
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Responsible AI Tech Lead
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- DevOps
- Master's degree
Consulting Systems Engineer
World Wide Technology Holding, LLC —Bengaluru, Karnataka
- DevOps
- Presentation skills
- Bachelor's degree
Director, Engineering - Forward Deployed Engineering
DigitalOcean —Bengaluru, Karnataka
- Master's degree
- Travel
- AI
Quick apply
Gen AI Architect-Lead AI and Data Solutions Engineer II
Deloitte —Bengaluru, Karnataka
- Azure
- Oracle
- Master's degree
17h
Enterprise Technology Architect
Accenture —Bengaluru, Karnataka
- Full-time
- Master's degree
- Bachelor's degree
- Machine learning
Customer Success Engineer
Fortanix —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- DevOps
- Java
Quick apply

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Senior Software Engineer

Microsoft -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

CI/CD
Cloud infrastructure
Azure
Rust (programming language)
Go
Law
Computer Science
Kubernetes
DevOps
C#
Test automation
Git
.NET
Master's degree
C++
Docker
C
Bachelor's degree
Distributed systems
Continuous integration
Software development
GitHub
Python

Full job description

Overview

CoreAI is at the forefront of Microsoft’s mission to redefine how software is built and experienced. We are responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software.

The AI Core Infrastructure team, part of AI Platform team in CoreAI Organization is responsible for large-scale, highly reliable and efficient GPU management infrastructure and the inference and training platforms that powers all of Microsoft’s AI workloads, such as M365 CoPilot, Github CoPilot, Microsoft CoPilot, AI Foundry’s Inference and Fine-Tuning offering of OAI and OSS models, and many more.

As a Senior Software Engineer on the fleet management team, you will work on cutting edge infrastructure and tools to build manage and support large scale training and inference clusters of latest generation of NVIDIA and AMD GPUs in Azure and Microsoft partner clouds on some of the world’s largest AI Supercomputers.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

As a senior engineer on the infrastructure fleet management team, your responsibilities include:

Architect, design, and develop core AI Infrastructure services developed in Go, Rust, Python, C++, and C# deployed on large-scale Kubernetes clusters to support state-of-the-art LLM training and inference.

Design, build, and manage large-scale GPU clusters to support LLM training, and inference workloads.

Enhance systems and applications to deliver high stability, low latency, strong security, and maintainability in large-scale complex training environments in Azure and in partner clouds.

Provide operational support, technical leadership, and vision while contributing to the deployment, monitoring, and continuous improvement of engineering systems and practices.

Support development and troubleshooting from the frontline, resolving complex issues impacting large-scale services.

Qualifications

Required Qualifications:

Bachelor’s or master’s degree in computer science or a related field.

3+ years designing, developing, and shipping high quality software.

2+ years of experience with distributed systems and cloud-based infrastructure.

1+ year of experience with DevOps practices (CI/CD, automated testing, deployment, etc.).

Passionate and self-motivated. Strong ability in self-learning, entering new domain, managing through uncertainty in an innovative team environment.

Preferred/Additional Qualifications:

6+ years of software development experience in C#, C++, Python, or similar languages.

3+ years of experience with containerization tools (e.g., Docker, Kubernetes).

Knowledge and hands on experience with production ML systems, large-scale training infrastructure, NCCL, CUDA libraries and tools.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.

Apply Now

Refine Your Search

nvidia technical support jobs in bengaluru karnataka

Senior Software Engineer

Backend SDE-III

Senior Site Reliability Engineering - Storage

ML Ops Engineer

Machine Learning-Lead AI and Data Solutions Engineer II

AI Infra Architect- Lead Cloud Integrated Infrastructure Engineer II

Architect Edge AI & Robotics

Digital Solution Architect Lead Advisor

Senior Principal Software Engineer - OpenShift sandbox containers

Co-Manage Specialist- Intern

Full Stack Engineer – Physical AI & Digital Twin Systems

Software Engineer, DevOps

DevRel Engineer II

Technology Architect

Responsible AI Tech Lead

Consulting Systems Engineer

Director, Engineering - Forward Deployed Engineering

Gen AI Architect-Lead AI and Data Solutions Engineer II

Enterprise Technology Architect

Customer Success Engineer

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