NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Join as a Data Engineer Cloud Gaming to develop and maintain Kubernetes-based GPU-accelerated data processing services, optimizing query response times and driving platform engagement with innovative solutions.
What you’ll be doing:
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.
What we need to see:
Master's or Bachelor's degree in Computer Science, Electrical Engineering, or CE, or equivalent experience.
Minimum of 5 years of work experience in 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).
Ways to stand out from the crowd:
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 micro services for enhanced performance and scalability.
Are you dedicated, upbeat, and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
