Senior Site Reliability Engineer, AI Infrastructure at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Technology, Cloud ComputingIndustries

Requirements

Degree in Computer Science or related field, or equivalent experience with 12+ years in Software Development, SRE, or Production Engineering
Proficiency in Python and at least one other language (C/C++, Go, Perl, Ruby)
Expertise in systems engineering within Linux or Windows environments and cloud platforms (AWS, OCI, Azure, GCP)
Strong understanding of SRE principles, including error budgets, SLOs, SLAs, and Infrastructure as Code tools (e.g., Terraform CDK)
Hands-on experience with observability platforms (e.g., ELK, Prometheus, Loki) and CI/CD systems (e.g., GitLab)
Strong communication skills with the ability to convey technical concepts effectively to diverse audiences
Commitment to fostering a culture of diversity, curiosity, and continuous improvement

Responsibilities

Develop and maintain large-scale systems supporting critical use cases for AI Infrastructure, driving reliability, operability, and scalability across global public and private clouds
Implement SRE fundamentals, including incident management, monitoring, and performance optimization, while designing automation tools to reduce manual processes and operational overhead
Build tools and frameworks to improve observability, define actionable reliability metrics, and enable fast issue resolution, driving continuous improvement in system performance
Establish frameworks for operational maturity, lead sustainable incident response protocols, and conduct blameless postmortems to improve team efficiency and system resilience
Work with engineering teams to deliver innovative solutions, mentor peers, uphold high standards for code and infrastructure, and contribute to hiring for a diverse, high-performing team

Skills

Key technologies and capabilities for this role

SREIncident ManagementMonitoringPerformance OptimizationAutomationObservabilityReliability MetricsCloud InfrastructureAI InfrastructurePostmortems

Questions & Answers

Common questions about this position

What experience level is required for this Senior Site Reliability Engineer role?

A degree in Computer Science or related field with 12+ years in Software Development, SRE, or Production Engineering is required.

What programming languages do I need to know for this position?

Proficiency in Python and at least one other language such as C/C++, Go, Perl, or Ruby is required.

What technical expertise is essential for this SRE role?

Expertise in systems engineering within Linux or Windows environments, cloud platforms like AWS, OCI, Azure, GCP, SRE principles including error budgets, SLOs, SLAs, Infrastructure as Code tools like Terraform CDK, observability platforms such as ELK, Prometheus, Loki, and CI/CD systems like GitLab is needed.

What is the company culture like at NVIDIA for this team?

NVIDIA offers a diverse, encouraging environment where everyone is inspired to do their best work, with a commitment to fostering a culture of diversity, curiosity, and continuous improvement.

What makes a candidate stand out for this Senior SRE position?

Experience in AI training, inferencing, and data infrastructure services, proficiency in deep learning frameworks like PyTorch, TensorFlow, JAX, and Ray, and a strong background in hardware health monitoring will help you stand out.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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