Senior Systems Engineer, Artificial Intelligence Operations at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Bachelor of Science or equivalent experience
12+ years of networking experience in enterprise or service provider environments, with strong hands-on expertise in routing and switching
Proficient in scripting and automation using Python or similar languages, with strong Linux expertise
Proven experience working directly with customers to resolve issues and ensure success in Systems Engineer or SRE roles
Exceptional oral, written, and presentation skills for clearly communicating complex technical topics
Demonstrated ability to collaborate effectively across teams, partnering with operations, engineering, and product development
Ways to stand out
Experience with data center infrastructure and cloud architectures
Background in network performance monitoring or observability
Previous experience working at a technological start-up

Responsibilities

Bring together and understand internal and external customer requirements to improve AI cluster resiliency and design AIOps-based solutions that address these needs
Develop automated workflows for issue detection and root cause analysis
Closely collaborate with operators to debug sophisticated, full-stack AI cluster problems and bring findings for product improvements
Deliver compelling technical presentations and lead hands-on demos or training
Handle evaluation deployments (POC/POV) and ensure smooth, reliable installations by staying engaged and encouraging throughout the customer journey

Skills

Python

Linux

Routing

Switching

Networking

Scripting

Automation

SRE

AIOps

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.

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