Senior Solution Architect, HPC and AI - NVIS 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, Artificial Intelligence, High Performance ComputingIndustries

Requirements

Strong foundational expertise from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience)
8+ years of experience and knowledge of neural networks including good understanding of transformer architectures
Experience designing large scale AI workloads with SLURM and/or Kubernetes
Proficiency with Python / C++ / Rust or other popular software languages
Excellent verbal, written communication, and technical presentation skills in English
Motivated to work with multiple levels and teams across organizations
Strong analytical and problem-solving skills
Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into sophisticated projects
Curious self-starter with a desire for continuous learning and sharing knowledge across the team

Responsibilities

Building and enabling robust AI/HPC infrastructure for customers
Supporting operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, training stability, real-time monitoring, logging, and alerting
Engaging in and improving services from inception and design through deployment, operation, and optimization
Co-designing telemetry of AI workloads to help engineering build solutions for more robust workloads at scale
Communicating across internal teams to support the continuous improvement of NVIDIA's offerings and software designs

Skills

Key technologies and capabilities for this role

AIHPCNeural NetworksAI InfrastructureCluster ManagementPerformance OptimizationTraining StabilityReal-time MonitoringLoggingAlertingTelemetryWorkload OrchestrationApplication Optimization

Questions & Answers

Common questions about this position

What salary can I expect for this Senior Solution Architect role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills are required for this Senior Solution Architect position?

Required skills include 8+ years of experience with neural networks and transformer architectures, designing large-scale AI workloads with SLURM and/or Kubernetes, proficiency in Python/C++/Rust, and strong communication, analytical, and problem-solving skills.

What is the company culture like at NVIDIA for this team?

NVIDIA offers a diverse, encouraging environment where everyone is inspired to do their life's work, with a focus on working with pioneering hardware and software in AI.

What makes a candidate stand out for this role?

Candidates stand out with experience orchestrating distributed Deep Learning training with SLURM, proficiency in DevOps tools like Ansible or Terraform, and 8+ years designing solutions with Tier-1 Clouds such as AWS or Azure.

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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