NVIDIA’s Silicon Solutions Group, Efficiency (SSGE) team is seeking a full-stack developer to help develop and maintain automated workflows, build robust ETL pipelines, and create dynamic, interactive dashboards that empower better business decisions. You will play a key role in transforming raw datasets into clean, reliable information and visual experiences that drive insight and action across the organization. You will partner closely with other teams to define intuitive, robust solutions using modern frameworks and technologies. At NVIDIA, we strive for perfection, encourage innovation, and provide opportunities to explore new ways to succeed!
What you'll be doing:
Compose, implement, and optimize ETL pipelines to collect, clean, and prepare data from different sources.
Build end-to-end web applications that visualize data and streamline workflows.
Design and develop APIs and backend services that integrate data with front-end dashboards and tools, ensuring seamless integration and functionality.
Collaborate with internal teams and stakeholders to understand their workflows and methodologies and transform them into technical solutions.
Monitor, debug, and maintain data infrastructure for accuracy, speed, and reliability.
Ensure scalability, performance, and security across applications and data pipelines.
What we need to see:
MS or equivalent experience, 5+ years of full-stack development experience, with proven skill in both front-end and back-end frameworks (e.g., React, Vue, Node.js, Django, or Flask).
Experience building and maintaining ETL pipelines using tools such as Airflow, Prefect, Dagster, or custom Python-based solutions.
Proven skills in Python, SQL, and working with relational or NoSQL databases.
Familiarity with data visualization libraries (e.g., Power BI, Grafana).
Understanding of data modeling, API design, and workflow automation.
Ability to translate complex technical concepts into intuitive, user-friendly solutions.
Excellent problem-solving skills, attention to detail, and collaborative mindset.
Ways to Standout from the crowd:
Experience working with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
Experience implementing real-time or near-real-time data streaming solutions (Kafka, Kinesis, etc.).
Familiarity with version control (Git), CI/CD pipelines, and agile development practices.
Familiarity with UI/UX design principles and a passion for clean, intuitive interfaces.
Background with using AI tools (e.g., Cursor, Copilot) in automation development.
NVIDIA is widely considered to be one of the world's most desirable employers in the technology field. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
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Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.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.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.”
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