NVIDIA is hiring candidates for the role of Site Reliability Engineer (SRE) in Bengaluru, India. This is a full-time opportunity for candidates with a Bachelor’s degree in Computer Science or a related technical field who are interested in cloud infrastructure, DevOps, automation, distributed systems, and reliability engineering.
The selected candidates will work on SRE initiatives supporting NVIDIA’s AI-powered enterprise products and services. Candidates will get an opportunity to work with technologies such as Kubernetes, Docker, cloud platforms, databases, observability tools, infrastructure-as-code, and AI-assisted engineering tools.
NVIDIA Off Campus 2026 Hiring Freshers For Site Reliability Engineer
| Details | Information |
|---|---|
| Company | NVIDIA |
| Job Role | Site Reliability Engineer |
| Qualification | Bachelor’s Degree in Computer Science or Related Technical Field |
| Eligible Batch | Fresh Graduates / Recent Graduates |
| Experience | Freshers / Entry Level |
| Expected Salary | ₹15 – ₹25 LPA (Expected) |
| Job Type | Full-Time |
| Location | Bengaluru, Karnataka, India |
| Job Category | Technology / Engineering |
| Requisition ID | JR2023532 |
| Apply By | Not Mentioned |
Job Description
NVIDIA is looking for talented candidates to join its Site Reliability Engineering team in Bengaluru. The role focuses on improving the reliability, scalability, and efficiency of enterprise systems that support NVIDIA’s AI-powered products and services.
As a Site Reliability Engineer, you will contribute to distributed systems, database automation, cloud-native infrastructure, monitoring, incident response, and developer productivity initiatives. This role is suitable for candidates who have a strong interest in cloud technologies, automation, DevOps, Kubernetes, databases, and modern software engineering practices.
Qualifications & Skills
- Bachelor’s degree in Computer Science or a related technical field such as Physics or Mathematics, or equivalent practical experience.
- Basic proficiency in at least one programming language such as Python, TypeScript, JavaScript, or Go.
- Understanding of cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Basic knowledge of Docker and Kubernetes.
- Exposure to infrastructure-as-code tools such as Terraform, AWS CDK, or CloudFormation is an advantage.
- Familiarity with Linux or Unix systems.
- Understanding of networking fundamentals.
- Knowledge of Git and version control.
- Interest in observability concepts including logging, metrics, and tracing.
- Familiarity with tools such as OpenTelemetry, Prometheus, or Grafana is beneficial.
- Basic knowledge of relational databases such as PostgreSQL or MySQL.
- Understanding of SQL, indexing, and basic query optimization.
- Strong problem-solving and analytical skills.
- Good communication and teamwork abilities.
- Willingness to learn and work in a fast-paced environment.
Roles and Responsibilities
- Support SRE initiatives focused on improving system reliability and scalability.
- Help build and maintain distributed systems supporting NVIDIA’s enterprise products and services.
- Assist with database provisioning, scaling, backup, and failover operations.
- Develop dashboards, alerts, and automation scripts for system monitoring.
- Contribute to observability and performance improvement initiatives.
- Participate in incident response and troubleshooting activities.
- Help reduce mean time to resolution (MTTR) by identifying and resolving system issues.
- Contribute to post-incident reviews and improvement activities.
- Collaborate with Cloud, Platform, Security, and AI/ML teams.
- Support Kubernetes-based and cloud-native infrastructure.
- Follow established standards for system design and incident management.
- Explore AI-assisted engineering tools and LLM-powered development workflows.
- Contribute to automation and developer productivity initiatives.
Ways To Stand Out
Candidates can strengthen their profile through:
- Personal projects involving cloud infrastructure or DevOps.
- Internships related to software engineering, cloud computing, or SRE.
- Experience with CI/CD pipelines.
- Hands-on experience with Docker and Kubernetes.
- Automation projects using Python or other programming languages.
- Open-source contributions.
- Participation in hackathons or coding competitions.
- Exposure to AI/ML concepts and LLM APIs.
- Experience using AI-powered development tools.
- Academic projects involving cloud platforms, databases, or distributed systems.
How To Apply For NVIDIA Careers
- Click on the Apply Here button provided below.
- You will be redirected to the official NVIDIA Careers website.
- Click on the Apply option.
- Sign in to your NVIDIA account or create a new account.
- Complete the application form with accurate information.
- Upload your updated resume and other required documents.
- Review all the details carefully.
- Submit your application successfully.
NVIDIA Apply Link: Click Here
All Jobs: Click Here
About NVIDIA
NVIDIA is a leading technology company known for its work in artificial intelligence, accelerated computing, graphics, and high-performance computing. The company’s GPU technology powers a wide range of applications, including AI systems, autonomous technologies, scientific computing, gaming, and data centers.
NVIDIA continues to invest heavily in artificial intelligence and accelerated computing while developing technologies that support the next generation of computing. The company offers opportunities for engineers and technology professionals to work on challenging projects involving AI, cloud infrastructure, software, and advanced computing.
