Senior Software Engineer, Datacenter Modeling at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, DatacenterIndustries

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS preferred)
5+ years of development experience with scaled Python-based projects, demonstrating strong software engineering and analytical skills
Excellent interpersonal skills with a track record of success contributing within multi-discipline teams

Responsibilities

Guiding the fundamental design, architecture, and implementation of modeling software used to define datacenter-scale accelerated computing platforms
Promoting modern software architecture design patterns and tools to speed up development, boost performance, and improve code quality for the team
Implementing industry-leading software and dev-ops standard methodologies tailored for rapidly growing teams, encouraging a culture of continuous improvement and innovation
Making hands-on and significant contributions to a business-critical codebase, directly impacting cloud and datacenter technologies

Skills

Python

Software Architecture

DevOps

System Modeling

Performance Modeling

Distributed Systems

GPU

High-Performance Computing

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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