Senior DGX Cloud AI Infrastructure 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, TechnologyIndustries

Requirements

Minimum of 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)
Strong debugging skills and experience in analyzing and triaging AI applications from the application level to the hardware level
Proven track record in building and scaling large-scale distributed systems
Experience with AI training and inferencing and data infrastructure services
Familiarity with operating large-scale observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki)
Proficiency in programming languages such as Python, C/C++, and script languages
Excellent communication and collaboration skills, and a culture of diversity, intellectual curiosity, problem-solving, and openness

Responsibilities

Develop infrastructure software and tools for large-scale AI, LLM, and GenAI infrastructure
Develop and optimize tools to improve infrastructure efficiency and resiliency
Root cause and analyze and triage failures from the application level to the hardware level
Enhance infrastructure and products underpinning NVIDIA’s AI platforms
Co-design and implement APIs for integration with NVIDIA’s resiliency stacks
Define meaningful and actionable reliability metrics to track and improve system and service reliability

Skills

Python

C/C++

ELK

Prometheus

Loki

distributed systems

AI training

AI inferencing

observability platforms

debugging

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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