NVIDIA is looking for an AI Analytics and Visualization Engineer to join our team. You will be a full-stack developer passionate about building automation and resourceful workflow tools that streamline complex engineering and business processes. Your work will focus on developing intelligent workflows that leverage LLMs and automation frameworks to orchestrate data collection, decision-making, and actions across systems, while building robust data pipelines and interactive interfaces.
What You'll Do
- Build and run AI agent workflows involving LLMs and tools to automate multi-step processes.
- Build orchestration services that coordinate model calls, tools, and human review.
- Develop APIs that expose AI agents to internal apps and UIs.
- Connect existing ETL and data pipelines as tools and context for agents.
- Construct simple web or chat interfaces for workflows powered by artificial intelligence.
- Ensure scalability, performance, and security of AI services and data flows.
What We're Looking For
- MS or equivalent experience.
- 5+ years of full-stack development.
- Strong Python skills with a track record of building APIs and backend services.
- Proficient with SQL and relational or NoSQL databases, plus data modeling and workflow automation.
- Familiar with LLM platforms and agent/tool frameworks, and able to turn sophisticated workflows into usable AI tools.
- Expertise in Jira, Perforce, and Git-based platforms, with the technical ability to harness APIs for data retrieval and integration.
- Excellent problem-solving skills, attention to detail, and a collaborative approach.
Nice to Have
- Skilled in deploying AI services on AWS, Azure, or GCP with Docker or Kubernetes.
- Experience with event-driven or streaming systems (e.g., Kafka, Kinesis).
- Expertise in dashboarding tools (e.g., PowerBI, Grafana, or EasyBI).
- Hands-on use of AI development tools (e.g., Cursor, Copilot).
- Experience leveraging AI tools or large language models (LLMs) to enhance productivity, automate workflows, or improve data-driven decision-making.
Technical Stack
- Languages & Databases: Python, SQL, NoSQL databases
- AI Platforms: LLM platforms, Agent/tool frameworks
- Tools: Jira, Perforce, Git
- Cloud & Infrastructure: AWS, Azure, GCP, Docker, Kubernetes
- Streaming & Analytics: Kafka, Kinesis, PowerBI, Grafana, EasyBI
Team & Environment
This role is part of NVIDIA's SCG - Silicon Co-Design Group, Efficiency (SSGE) team.
Benefits & Compensation
- Compensation: $152,000 USD - $241,500 USD for Level 3, and $184,000 USD - $287,500 USD for Level 4.
- Eligible for equity.
- Benefits package.
Work Mode
This position follows a hybrid work model.
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.
