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NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$18 - $71Hourly

Remote in USA + 1 more

More locations: Santa Clara, CA, USA

Remote work is an option, but Santa Clara is a primary location.

Category
Full-Stack Engineering
Software Engineering
Required Skills
Kubernetes
Python
JavaScript
React.js
CUDA
Git
Apache Spark
SQL
Apache Kafka
Java
Docker
Microservices
Go
Jenkins
Vue.js
Ansible
C/C++
Cassandra

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Currently pursuing a Bachelor's, Master's, or PhD degree within Computer Engineering, Electrical Engineering, Computer Science, or a related field
  • Prior experience or knowledge requirements could include the following programming skills and technologies: Java, JavaScript (including Node, React, Vue), SQL, C++, CUDA, OOP, Go, Python, Git, Perforce, Kubernetes and Microservices, Schedulers (LSF, SLURM), Containers (Docker), Configuration Automation (Ansible)
Responsibilities
  • Debugging complex system-level issues using Jenkins
  • Supporting overall architecture and design of our cloud storage infrastructure
  • Implementing and troubleshooting storage and data platform tools, automating storage infrastructure end-to-end
  • Building industry leading technology by proving workflows and infrastructure, alongside a team of experts in production software development and chip design methodologies
  • Enabling success for content running on the chip from application tracing and analysis to modeling, diagnostics, performance tuning, and debugging
  • Supporting cloud and on-premise infrastructure for backend analytics
  • Working on diverse data technologies including Kafka, ELK, Cassandra, and Spark
Desired Qualifications
  • Course or internship experience related to Relational Databases, Linear Algebra & Numerical Methods, Operating Systems (memory/resource management), Scheduling and Process Control, Hardware Virtualization
  • Course or internship experience related to Distributed Systems, Data Structures & Algorithms, Virtualization, Automation/Scripting, Container & Cluster Management, Debugging
  • Course or internship experience related to Unix/Shell Scripting, Linux, Java, JavaScript (including Node, React, Vue), C++, CUDA, OOP, Go, Python, Git, GitLab, Perforce, Kubernetes and Microservices, Schedulers (LSF, SLURM), Containers (Docker), Configuration Automation (Ansible)
  • Course or internship experience related to Data Science, Data Engineering, Open Source Data Science Tools, Open Source Libraries

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 main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms tailored for developers and data scientists. NVIDIA stands out from competitors by offering a combination of hardware and software solutions, including cloud-based services like NVIDIA CloudXR and NGC, which enable scalable applications in AI and machine learning. The company's goal is to drive innovation in technology and provide advanced solutions that cater to a wide range of clients, from gamers to enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match