Senior DGX Cloud AI Infrastructure Software Engineer at NVIDIA

Beijing, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Technology, Cloud ComputingIndustries

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
Familiar in operating large-scale observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki)
Proficiency in programming languages such as Python, C/C++, script languages
Excellent communication and collaboration skills, and a culture of diversity, intellectual curiosity, problem solving, and openness
Ways to stand out
Experience in working with the large scale AI cluster
Strong understanding of NVIDIA GPUs, network technologies (RDMA, IB, NCCL)
Good understanding on DL frameworks internal PyTorch, TensorFlow, JAX, and Ray
Experience and root cause analysis of failures and datacenter scale
Strong background in software design and development

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

Key technologies and capabilities for this role

AI InfrastructureLLMGenAIRoot Cause AnalysisAPI DesignSystems EngineeringReliability MetricsPerformance OptimizationTroubleshootingInfrastructure Tools

Questions & Answers

Common questions about this position

What is the salary for this Senior DGX Cloud AI Infrastructure Software Engineer position?

This information is not specified in the job description.

Is this role remote or does it require working from an office?

This information is not specified in the job description.

What skills and experience are required for this position?

Candidates need 8+ years of experience in developing software infrastructure for large-scale AI systems, a Bachelor's degree in Computer Science or related field, strong debugging skills for AI applications from app to hardware level, proven track record in building scalable distributed systems, experience with AI training/inferencing and data infrastructure, familiarity with observability platforms like ELK/Prometheus/Loki, and proficiency in Python, C/C++, scripting languages.

What is the company culture like on the DGX Cloud Team?

The team is dynamic and supportive, valuing learning and growth, autonomy on meaningful projects with mentorship, blameless postmortems, iterative improvement, risk-taking, diversity, intellectual curiosity, problem-solving, and openness.

What makes a candidate stand out for this role?

Experience working with large-scale AI clusters and a strong understanding of NVIDIA GPUs and networking stand out.

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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