Senior Data Engineer, Log Analytics at NVIDIA

Ho Chi Minh City, Vietnam

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

PhD or equivalent experience in Computer Science, Engineering, or a related field
10+ years or more in data analysis, focusing on log analysis
Proficiency in data analytics and log analysis, including practical skills in Syslog/telemetry data analysis
Proven experience in predictive and classification analytics
Excellent problem-solving and collaboration abilities
Demonstrated ability to adapt to new analytic technology and methodologies
Experience in a management or leadership role is advantageous for higher-level positions
Ways to stand out
Experience leveraging Large Language Models (LLMs) for advanced syslog analysis and mining
Proven track record of success working with NVIDIA systems, or similar GPU-accelerated platforms
Demonstrated excellence in developing innovative data models or algorithms that improve log analytics efficiency
Advanced proficiency in developing and deploying AI solutions tailored for large-scale data processing tasks
Prior experience leading projects that required interdisciplinary collaboration and cutting-edge technology deployment

Responsibilities

Own the development of innovative technologies and strategies, emphasizing the effective visualization and analysis of log data
Analyze Syslog and telemetry data with precision to predict and classify errors and job failures
Collaborate with colleagues to establish new technology directions and effectively deploy groundbreaking log analytics solutions
Collaborate with multi-functional teams to identify efficient data analysis strategies and methods

Skills

Key technologies and capabilities for this role

Log AnalyticsSyslogTelemetry DataData VisualizationError PredictionJob Failure ClassificationData Analysis

Questions & Answers

Common questions about this position

What experience level is required for this Senior Data Engineer role?

A PhD or equivalent experience in Computer Science, Engineering, or a related field is required, along with 10+ years in data analysis focusing on log analysis.

What are the key responsibilities in this log analytics position?

You will own the development of innovative technologies for log data visualization and analysis, analyze Syslog and telemetry data to predict errors, collaborate on new technology directions, and work with teams on data analysis strategies.

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

NVIDIA offers a diverse, supportive environment where everyone is inspired to do their best work, fostering creativity, precision, and excellence while collaborating with brilliant engineers.

What skills will help me stand out for this position?

Experience with Large Language Models for syslog analysis, working with NVIDIA or GPU-accelerated platforms, developing innovative data models, advanced AI solutions for large-scale data, and leading interdisciplinary projects will make you stand out.

Is this a remote position or does it require office work?

This information is not specified in the job description.

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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