Software Engineering, Data Infrastructure at NVIDIA

**Who this is for** This role is for a software engineer looking to specialize in data infrastructure, specifically building and optimizing ETL pipelines and da

Work type: onsite

Location: US, CA, Santa Clara

Salary: $116,000 – $189,750/yr

Type: Full-time

Summary

**Who this is for** This role is for a software engineer looking to specialize in data infrastructure, specifically building and optimizing ETL pipelines and data lakes to support semiconductor hardware engineering teams. **Key highlights** You will work within NVIDIA's Operations organization to manage data platforms, develop in-house tools for hardware testing, and build scalable streaming pipelines using AWS and Spark. **You might be a good fit if you...** - Have 2+ years of experience maintaining data warehouses or lakes. - Possess strong Python skills focused on data extraction and transformation. - Have working knowledge of Airflow, Docker, and structured data formats like Parquet or Protobuf.

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!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD.

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until April 26, 2026.

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.

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