Job Overview
NVIDIA is the pioneer of GPU-accelerated computing and the global leader in artificial intelligence hardware, software, and supercomputing infrastructure powering modern generative AI.
The Site Reliability Engineer role in Bangalore places engineers at the foundation of NVIDIA’s accelerated cloud ecosystems. SREs design resilient automation pipelines, ensuring peak uptime and performance for distributed deep learning clusters worldwide.
Joining NVIDIA provides candidates with structured mentorship, real-world project ownership, and exposure to enterprise-grade technologies that accelerate long-term career growth.
Job Details
| Detail | Information |
|---|---|
| Company | NVIDIA |
| Position | Site Reliability Engineer |
| Job ID / Requisition | NV-SRE-2026 |
| Location | Bangalore, Karnataka, India |
| Experience Required | 0–2 years (Freshers & early-career SREs eligible) |
| Educational Qualification | B.E. / B.Tech / M.E. / M.Tech in Computer Science, IT, Electronics, or related discipline |
| Work Mode | Hybrid / In-Office |
| Employment Type | Full-Time / Permanent |
Eligibility Criteria
Applicants must meet the following qualification requirements:
- Academic Background: B.E. / B.Tech / M.E. / M.Tech in Computer Science, IT, Electronics, or related discipline.
- Experience Level: 0–2 years (Freshers & early-career SREs eligible).
- Target Profile: Candidates with a strong foundational grasp of core technical concepts, effective analytical thinking, and a collaborative mindset.
Required Skills & Competencies
- Linux Systems & Kernel Internals: Deep understanding of Linux OS administration, performance tuning, shell scripting, memory management, and network troubleshooting.
- Kubernetes & Container Orchestration: Managing containerized microservices, Docker images, Helm charts, and cluster networking across distributed GPU environments.
- Infrastructure as Code & CI/CD: Automating cloud infrastructure provisioning using Terraform, Ansible, and building robust deployment pipelines in Jenkins/GitLab CI.
- Observability & Telemetry: Configuring Prometheus, Grafana, ELK/OpenSearch, and setting up Service Level Objectives (SLOs) and automated alerting.
Job Responsibilities
- Maintain high availability, reliability, and low latency for NVIDIA’s global AI computing clusters and cloud platforms.
- Automate repetitive infrastructure provisioning and operational workflows using Python, Go, and Terraform.
- Monitor production clusters, establish SLOs/SLIs, and participate in incident response and post-mortem investigations.
- Collaborate with GPU software engineers to optimize deployment pipelines and hardware utilization at massive scale.
Salary & Compensation
- Compensation Structure: World-class NVIDIA AI computing package, equity grants & global employee benefits.
- Additional Benefits: Comprehensive employee wellness support, mentorship programs, performance recognition, and professional learning resources where applicable.
Selection Process
The hiring process generally comprises the following evaluation stages:
- Application & Resume Screening: Initial profile evaluation against role criteria.
- Technical Assessment / Online Test: Evaluation of core domain skills, coding aptitude, or analytical reasoning.
- Technical Interview Rounds: In-depth discussion covering project experience, problem-solving, and technical depth.
- HR & Managerial Discussion: Cultural fitment, role expectations, and offer rollout.
Important Dates
- Application Status: Active and accepting online applications.
- Application Deadline: Active open vacancy (Candidates are advised to apply early as openings may close upon reaching target applicant volume).
How to Apply
- Click on the official application link provided below.
- Read the comprehensive job description, responsibilities, and eligibility standards on the portal.
- Prepare an updated resume highlighting relevant projects, technical skills, and certifications.
- Click on the Apply / Register button and fill in personal, academic, and professional details.
- Upload your resume and submit your application before the window closes.
Official Application Link
Apply directly on the employer’s official careers portal:
- Application URL: CLICK HERE TO APPLY
Frequently Asked Questions (FAQ)
Q1: Can freshers apply for this role?
Yes, engineering graduates with strong Linux, Kubernetes, and scripting fundamentals are eligible.
Q2: What is the work model for this position?
The position operates under a Hybrid model in Bangalore.
Q3: Are there any fees for applying to this position?
No. NVIDIA does not charge any application or recruitment fee. Never pay money to any third party for job offers.
Disclaimer
PlacedInAI is an informational career platform providing verified job updates. We are not directly affiliated with the employer. Candidates must review and verify all details on the official employer website before applying.