NVIDIA

Cloud Platform Engineer

Bengaluru, Karnataka, India

$130,000 – $180,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
InternshipJob Type
UnknownVisa
Cloud Computing, Software DevelopmentIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Information Systems, or Computer Engineering, or an equivalent level of experience. They must have at least three years of proven experience in large-scale software development, including experience building and shipping services on Kubernetes. Programming experience in languages such as Golang or Python is required, along with familiarity with modern infrastructure tools and technologies.

Responsibilities

As a Cloud Platform Software Engineer, you will develop software systems to support large-scale deployments of cloud services, contribute to multiple source code projects, automate software validation through unit and integration tests, and collaborate with engineering managers, architects, designers, and frontend engineers to deliver high-quality software. You will also participate in the ownership and health of CI/CD pipelines, collaborate with specialists for feedback, and openly share successes and failures in a no-blame environment.

Skills

Kubernetes
Golang
Python
CI/CD
Unit Testing
Integration Testing
Software Development
Cloud Services

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.

Key Metrics

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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