Senior Full-Stack Software Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Technology, Cloud ComputingIndustries

Requirements

8+ years of experience in developing software infrastructure for large scale AI systems
Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience)
Proficiency with full-stack development: JavaScript (Vue or React), Node.js, Python, and/or Golang, script languages
Experience with distributed systems and cloud-native technologies (Docker, Kubernetes, microservices)
Familiarity with observability stacks: ELK, OpenSearch, Prometheus, Grafana, or Loki
Strong debugging and root cause analysis skills across application and infrastructure layers
Experience with large-scale AI training, inference, or data infrastructure services
Excellent communication, collaboration, problem solving and a growth mindset

Responsibilities

Design, develop, and deploy full-stack web applications to support large-scale AI infrastructure operations and workflows
Collaborate with AI and ML research teams to identify pain points and deliver tools that accelerate their work
Develop APIs, backend services, and UIs to improve visibility, observability, and control over large-scale GPU clusters
Develop backend services to manage job schedulers and cluster operations
Define and track metrics that measure efficiency, resiliency, and developer productivity across the platform
Drive engineering excellence in testing, CI/CD, code quality, and performance
Lead architectural discussions and mentor junior engineers on design and implementation
Stay ahead of AI/ML infrastructure trends and drive adoption of best practices within the team

Skills

Full-Stack

Web Applications

APIs

Backend Services

UI Development

Job Schedulers

Cluster Operations

CI/CD

Testing

Kubernetes

Metrics

Observability

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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