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:
Designing, planning, and implementing with team members custom cloud designs to meet our growing data needs. We work with data from testing of semiconductor chips, boards, systems, and servers. We 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.
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Maintain and expand AWS infrastructure and toolsets
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Design and implement framework modules to extract data from various systems, validate integrity, apply business transformations, and store data in a Data Lake (AWS)
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Build, scale, and optimize self-serve tools, custom ETL frameworks, and streaming pipelines for data storage and analytics on complex data sources
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Take ownership of data platforms and transformation tools used in data engineering initiatives
What we need to see:
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Bachelor’s or Master’s degree in Computer Science, or equivalent experience with programming knowledge (e.g., Python, Database architectures, Cloud Services etc.)
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8+ years of relevant experience
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Proven experience in defining, leading, and building projects, collecting requirements, setting timelines, and delivering results
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Expertise in architecting, designing, developing, and maintaining data warehouses/data lakes for complex data ecosystems
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Working knowledge of Amazon Web Services, Kubernetes, Airflow, Docker, Terraform, Spark, Scala
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Strong Python experience with a focus on data extraction and transformations.
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Experience with structured data formats such as Parquet, Protobuf, and concepts like schema evolution
Ways to stand out from the crowd:
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Demonstrated expertise in software engineering with a strong emphasis on data engineering
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Experience in setting up AWS infrastructure from scratch and automating deployment processes
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Proven experience crafting and optimizing ETL pipelines using tools like Spark, SQL, and cloud services, where standard workflows fail because of data sizes
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An understanding of operational processes in semiconductor chips, boards, systems, and servers
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Self-starter with a positive problem-solving outlook, ability to multitask, and strong organizational skills.
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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!
The base salary range is 132,000 USD - 207,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
