Data Engineer Cloud Gaming at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Gaming, Technology, AIIndustries

Requirements

Master's or Bachelor's degree in Computer Science, Electrical Engineering, or Computer Engineering, or equivalent experience
Minimum of 5 years of work experience in a similar domain
Built required infrastructure for optimal extraction, transformation, and loading of data from various sources using AWS, Azure, SQL, or other technologies, and knowledgeable in Databricks, Splunk, or Snowflake solutions
Strong coding skills, including the ability to write readable, testable, maintainable, and extensible code (primarily Python)
Strong Kubernetes experience on-premise and/or CSP, developing containerized microservices
Hands-on experience in performance tuning/troubleshooting Spark applications
Familiarity with metrics collection, health monitoring, and observability tools
Strong experience in data cleaning, aggregation, transformation, and extraction
Experience in active ML production pipelines is a plus (MLflow, Kubeflow)

Responsibilities

Optimize distributed computing infrastructure by analyzing cost and right-sizing for latency and performance
Identify benchmarks and establish metrics for tracking on dashboards and alerting
Improve and sustain a strong, expandable, dependable, live data processing service
Develop reusable framework deployments for data ingestion, processing, and analysis
Build data systems and pipelines, ensuring that data sources, ingestion components, transformation functions, and destinations are well understood for implementation
Prepare data for prescriptive and predictive modeling by ensuring the data is complete, cleansed, and has necessary rules in place
Train data engineers, data scientists, and production engineers on adopting data processing workflows

Skills

Kubernetes

GPU

ETL

Data Pipelines

Distributed Computing

Dashboards

Alerting

Data Ingestion

Data Processing

Data Analysis

Predictive Modeling

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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