Senior AI and ML HPC Cluster Engineer at NVIDIA

Santa Clara, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, High Performance ComputingIndustries

Requirements

Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience
Minimum 5+ years of experience designing and operating large scale compute infrastructure
Experience with AI/HPC advanced job schedulers, such as Slurm, K8s, PBS, RTDA or LSF
Proficient in administering Centos/RHEL and/or Ubuntu Linux distributions
Solid understanding of cluster configuration management tools such as Ansible, Puppet, Salt
In depth understanding of container technologies like Docker, Singularity, Podman, Shifter, Charliecloud
Proficiency in Python programming and bash scripting
Applied experience with AI/HPC workflows that use MPI
Experience analyzing and tuning performance for a variety of AI/HPC workloads
Passion for continual learning and staying ahead of emerging technologies and effective approaches in the HPC and AI/ML infrastructure fields
Ways to stand out (Preferred)
Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking
Experience with Machine Learning and Deep Learning concepts, algorithms and models
Familiarity with InfiniBand with IBOP and RDMA
Understanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workloads
Familiarity with deep learning frameworks like PyTorch and TensorFlow

Responsibilities

Provide leadership and strategic guidance on the management of large-scale HPC systems including the deployment of compute, networking, and storage
Develop and improve our ecosystem around GPU-accelerated computing including developing scalable automation solutions
Build and maintain AI and ML heterogeneous clusters on-premises and in the cloud
Create and cultivate customer and cross-team relationships to reliably sustain the clusters and meet evolving user needs
Support our researchers to run their workloads including performance analysis and optimizations
Conduct root cause analysis and suggest corrective action
Proactively find and fix issues before they occur

Skills

GPU

HPC

Deep Learning

Networking

Storage

Automation

Cloud Computing

Performance Optimization

Capacity Planning

Root Cause Analysis

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.

Land your dream remote job 3x faster with AI

Try Jobo Free