Senior Software Engineer, DGXC Data Services at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

BS in Computer Science, Information Systems, or Computer Engineering (or equivalent experience) with 5+ years of proven experience
Strong foundation in algorithms and data structures and their real-world use cases
Experience building and shipping services around Kubernetes, Cloud Native, and Cloud Service Providers (e.g., AWS, GCP, or Azure)
Experience collaborating with teams to write software to support cloud services
Background with backend systems and software engineering
Programming experience in a relevant language (e.g., Go, Python, C/C++, Java)
Understanding of standard approaches to software engineering, software architecture, and design
Ability to document software and services and break down projects into practical tasks
Ability to communicate design, status, and other sophisticated subjects in written, visual, and oral formats
Ability and passion for working across teams and with collaborators
Ways to Stand Out
Hands-on experience in building and managing large-scale data services
Experience building products and services to solve enterprise-grade customer data analytics problems
Experience with Apache Spark, Object Storage, Metadata Management, Data lake tools (Apache Iceberg), Machine Learning infrastructure toolset (Feature Stores)
Computer science background with Distributed Systems as a specialization

Responsibilities

Design and build software code and cloud services for Data Management, including providing a catalog, managing metadata and life cycle of datasets and checkpoints
Connect with other technical leaders across NVIDIA to ensure using existing technologies where possible and appropriate collaboration with their systems
Collaborate with the NVIDIA research team to utilize new storage and compute innovations, including GPU direct storage and DPU

Skills

Kubernetes

AWS

GCP

Azure

Python

C/C++

Java

Algorithms

Data Structures

Backend Development

Cloud Native

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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