Full-Stack Developer, Workflow and Data Visualization

at Nvidia
📍 World
📍 Canada
📍 United States
USD 152,000-287,500 per year
MIDDLE SENIOR
✅ Remote ✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 3 Docker @ 3 Grafana @ 2 Kafka @ 3 Kubernetes @ 3 Python @ 3 SQL @ 3 GCP @ 3 ETL @ 3 Airflow @ 3 NoSQL @ 3 CI/CD @ 2 Kinesis @ 3 AWS @ 3 Azure @ 3 Dagster @ 3 Django @ 3 Flask @ 3 Git @ 2 React @ 5 Node.js @ 5 UI/UX @ 2 API @ 3 BI @ 2 Power BI @ 2 Agile @ 2

Details

NVIDIA’s Silicon Solutions Group, Efficiency (SSGE) team is seeking a Full-Stack Developer to develop and maintain automated workflows, build robust ETL pipelines, and create dynamic, interactive dashboards that empower better business decisions. You will transform raw datasets into clean, reliable information and visual experiences that drive insight and action across the organization, partnering with other teams to define intuitive, robust solutions using modern frameworks and technologies.

Responsibilities

  • 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.
  • Collaborate with internal teams and stakeholders to understand workflows 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.

Requirements

  • MS or equivalent experience and 5+ years of full-stack development experience with proven skill in both front-end and back-end frameworks (examples: React, Vue, Node.js, Django, Flask).
  • Experience building and maintaining ETL pipelines using tools such as Airflow, Prefect, Dagster, or custom Python-based solutions.
  • Proven skills in Python and SQL, and experience working with relational or NoSQL databases.
  • Familiarity with data visualization libraries and tools (examples: Power BI, Grafana).
  • Understanding of data modeling, API design, and workflow automation.
  • Strong problem-solving skills, attention to detail, and a collaborative mindset.

Ways to Stand Out / Additional Qualifications

  • Experience 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 using AI tools (e.g., Cursor, Copilot) in automation development.

Compensation & Benefits

  • Base salary range: 152,000 USD - 218,500 USD for Level 3; 184,000 USD - 287,500 USD for Level 4.
  • You will also be eligible for equity and benefits (see NVIDIA benefits page).

Location & Work Model

  • Locations: United States; Canada; Remote (worldwide).
  • Work model: Hybrid (#LI-Hybrid). Specific work arrangement may vary by location.
  • Applications accepted at least until January 17, 2026.

Other Notes

  • NVIDIA uses AI tools in its recruiting processes.
  • NVIDIA is an equal opportunity employer and values diversity in its workforce.