Posted:
7/28/2024, 5:00:00 PM
Location(s):
California, United States
Experience Level(s):
Senior
Field(s):
Software Engineering
The NVIDIA Operations organization is seeking an experienced software engineering professional for the position of System Data, Software Engineer. As a member of our team you will be an integral part of building cloud based data platforms. You will support initiatives for the Data Platform, Reporting, and Analytics. Your work will turn data into information leading to insights and business results.
What you'll be doing:
Leading, planning, and implementing with team members and IT, data and cloud designs, given data sources, data locations, and use cases. We work on data tools used in testing of semiconductor chips, boards, systems, and servers. We develop in house suite of tools that work from the ground up. Processing logs into data platforms, analytics, and custom visualizations for large scale data analysis.
Maintaining AWS infrastructure, and expanding toolsets used in AWS
Design and implement framework modules to extract data from various source systems, validate the integrity, apply business transformation, and store data in a Data Lake (AWS, Azure, others)
Build, scale, and optimize self-serve ETL frameworks, streaming pipelines to handle data storage and real-time analytics
Take ownership of data platform and transformation tools used in AI&ML
What we need to see:
Bachelor’s or Master’s degree in Computer Science or Information System, or equivalent experience with programming knowledge (i.e. Python, Database architectures, Cloud Services etc.)
8+ years of relevant experience
Experienced in defining/leading projects, collecting requirements, setting timelines, and delivering on results
Experience in architecting, designing, developing, and maintaining data warehouses/data lakes for complex data ecosystems
Working knowledge of Amazon Web Services, Kubernetes, Docker, Terraform
Strong Python experience, with focus in data extraction and transformations
Experience with structured data such as Parquet, Protobuf, and concepts like schema evolution
Ways to stand out from the crowd:
Self-starter, positive problem-solving outlook, ability to multi-task, and demonstrate strong organization skills
Solid understanding of operational processes in semi-chips, boards, systems, and servers
Experience standing up AWS infrastructure from scratch
Background in crafting ETL pipelines using Spark, SQL, AWS/Cloud
Experience with SAP systems integration, Datamart, Business objects as well as experience with visualization tools like Tableau, PowerBI, Jupyter Notebooks
With competitive salaries and a generous benefits package, we are considered to be the technology industry's best employers. If you are a creative engineering leader with a real passion for technology, we want to hear from you. Come build the future with us!
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Website: https://www.nvidia.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1993
IPO Status: Public
Last Funding Type: Grant
Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality