Data Engineer Cloud Gaming

at Nvidia
📍 Santa Clara, United States
USD 148,000-287,500 per year
MIDDLE SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Kubernetes @ 3 Python @ 6 SQL @ 3 Spark @ 3 Hiring @ 3 AWS @ 3 Azure @ 3 Data Engineering @ 3 KubeFlow @ 1 MLFlow @ 1 Microservices @ 6 Databricks @ 3 Splunk @ 3 Snowflake @ 3 GPU @ 3

Details

NVIDIA is hiring a Data Engineer Cloud Gaming to develop and maintain Kubernetes-based GPU-accelerated data processing services, optimize query response times, and drive platform engagement with innovative solutions. The role focuses on building and sustaining live, scalable data processing systems, reusable deployment frameworks, and ensuring data is prepared for prescriptive and predictive modeling.

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 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.

Requirements

  • Master's or Bachelor's degree in Computer Science, Electrical Engineering, CE, or equivalent experience.
  • Minimum of 5 years of work experience in a similar domain.
  • Experience building infrastructure for extraction, transformation, and loading of data from various sources using cloud platforms (AWS, Azure) and SQL; knowledge of Databricks, Splunk, or Snowflake solutions.
  • Strong coding skills with ability to write readable, testable, maintainable, and extensible code (primarily Python).
  • Strong Kubernetes experience (on-premise and/or cloud) 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).

Ways to Stand Out

  • Strong ability to drive continuous improvement of systems and processes.
  • Prior data processing at scale on NVIDIA GPUs.
  • Proven ability to work in a fast-paced environment where strong organizational skills are essential.
  • Expertise in optimizing Spark applications and microservices for enhanced performance and scalability.

Compensation & Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary ranges provided are:

  • Level 3: 148,000 USD - 235,750 USD
  • Level 4: 184,000 USD - 287,500 USD

You will also be eligible for equity and benefits (see NVIDIA benefits page).

Additional Information

  • Applications for this job will be accepted at least until September 8, 2025.
  • NVIDIA is an equal opportunity employer and values diversity in its workforce.