NVIDIA · 20 hours ago
Senior Software Engineer, Data Platform
NVIDIA is seeking an experienced software engineering professional for the position of System Data Architect. The role involves building data platforms and tools, supporting initiatives for the Data Platform, Reporting, and Analytics, and turning data into actionable insights.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Leading and planning with team members and IT to identify and implement the right data strategy, 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
Build, scale, and optimize self-serve ETL frameworks, streaming pipelines to handle data storage and real-time analytics
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)
Enable a self-service and Machine Learning platform for individual business units
Take ownership of data platform and transformation tools used in AI&ML
Qualification
Required
Bachelor's or Master's degree in Computer Science or Information System, or equivalent experience with programming knowledge (i.e. Python, Database architectures, etc.)
7+ 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
Strong Python experience, with focus in data extraction and transformations
In-depth experience in crafting ETL pipelines using Spark, SQL, AWS/Cloud
Solid understanding of operational processes in semi-chips, boards, systems, and servers
Preferred
Self-starter, positive problem-solving outlook, ability to multi-task, and demonstrate strong organization skills
Working knowledge of Amazon Web Services, Kubernetes, Docker, Terraform
Experience with structured data such as Parquet, Protobuf, and concepts like schema evolution
Background with semi structured log parsing
Experience with SAP systems integration, Datamart, Business objects as well as experience with visualization tools like Tableau, PowerBI, Jupyter Notebooks
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Recent News
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