Principal Cloud Software Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud ComputingIndustries

Requirements

BS/MS in Computer Science or equivalent experience with 15+ years of hands-on experience building complex services
Strong knowledge and experience in OOP concepts and Build Patterns, with in-depth experience in crafting and composing complex, large-scale back-end systems
Expertise in core Java, including Collections API, Streams API, Concurrency, and I/O
Proficiency in RDBMS and NoSQL databases such as Cassandra, DynamoDB, and Redis
Deep understanding of HTTP REST API, gRPC, security, and networking, along with a good grasp of API development influenced by UX/UI/CLI requirements
Ability to drive pragmatic technical discussions towards practical solutions that are clean, reusable, testable, and extensible
Dedication to collaborative development approaches, with the capability to impact daily operations across teams and collaborators
Strong debugging skills to pinpoint underlying issues and enhance the technology stack, working closely with colleagues and team members like DevSecOps and SRE or those with equivalent experience
Strong verbal and written communication abilities, with a demonstrated history of being a standout colleague
Ways to stand out
Operational experience with large-scale web applications
Expertise in Java, Spring Boot, Golang, Gatling, Python, Kubernetes, and Docker
Familiarity with InfluxDB, Cassandra, RDS, Elasticsearch, Solr, and Splunk
Comfort working with one or more cloud providers: AWS, GCP, or Azure
Ability to excel in a dynamic, highly interactive environment, driving team success

Responsibilities

Architect, build, plan, implement, and operate complex PaaS for GPU cloud services
Drive the underlying technology stack and implementation methodology
Work closely with collaborators, customers, UX/UI designers, and front-end engineers on developing new products or enhancing existing features
Ensure consistency across modules and/or products within the team
Champion the adoption of development practices that prioritize testing, including advancing test automation and CI/CD
Maintain a customer-centric approach by supporting, maintaining, and detailing software functionality

Skills

Java

OOP

Design Patterns

Collections API

Streams API

Concurrency

I/O

RDBMS

NoSQL

Cassandra

DynamoDB

PaaS

CI/CD

Test Automation

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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