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Software Engineering, Data Infrastructure
NVIDIA
H1B ✓On-sitemid levelPosted April 22, 2026
About the Role
You will design and implement custom ETL pipelines and data infrastructure to support hardware engineering and analytics teams. This role involves transforming complex data into actionable insights and maintaining scalable data storage solutions within AWS.
Requirements
Candidates must have a Bachelor's or Master's degree in Computer Science or equivalent experience, along with at least 2 years of relevant professional experience. Proficiency in Python, cloud services, and data ecosystem management is required.
Full Job Description
The NVIDIA Operations organization is seeking a 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 ETL pipelines, custom data pipelines and data analysis. 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:
Designing, planning, and implementing custom cloud designs with team members to meet our growing data needs.
Work with data from testing semiconductor chips, boards, systems, and servers. Develop a set of custom in-house tools to service the hardware and product teams. Transforming data into reporting, analytics, and custom visualizations for large scale data analysis.
Maintain and expand custom ETL Pipelines in Athena
Design and implement framework modules to extract data from various systems, validate integrity, apply business transformations, and store data in a Data Lake (AWS)
Build, scale, and optimize streaming pipelines for data storage and analytics on complex data sources
Take ownership of data transformation and reporting to support hardware engineering teams
What we need to see:
Bachelor’s or Master’s degree in Computer Science, or equivalent experience with programming knowledge (e.g., Python, Database architectures, Cloud Services etc.)
2+ years of relevant experience
Experience in defining and building projects, collecting requirements, setting timelines, and delivering results
Experience maintaining data warehouses/data lakes for complex data ecosystems
Working knowledge of Amazon Web Services, Airflow, Docker, Spark, Scala
Strong Python experience with a focus on data extraction and transformations.
Experience with structured data formats such as Parquet and Protobuf
Ways to stand out from the crowd:
Demonstrated expertise in software engineering with a strong emphasis on data engineering
Experience in setting up AWS infrastructure from scratch and automating deployment processes
Proven experience crafting and optimizing ETL pipelines using tools like Spark, SQL, and cloud services, where standard workflows fail because of data sizes
An understanding of operational processes in semiconductor chips, boards, systems, and servers
Self-starter with a positive problem-solving outlook, ability to multitask, and strong organizational skills.
Passion for solving complex software problem that span across multiple domains
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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.