# Principal Software Engineering Lead — Enterprise Data Platforms

**Company**: NVIDIA
**Location**: Santa Clara
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Software-Engineering-Lead---Enterprise-Data-Platforms_JR2016869?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a637017f-92c

## Description

We're hiring a Principal Software Engineer to own the engineering efforts across NVIDIA enterprise systems. You'll partner with IT leadership to transform reactive support into strategic, AI-infused automated systems balancing speed, security, and an exceptional user experience for NVIDIA.

**Key Responsibilities:**

- Lead the architecture and delivery of enterprise-grade AI applications and workflow platforms that connect to core systems of record such as SAP, Salesforce, ServiceNow, Confluence, Asana, and others.

- Build resilient end-to-end systems across frontend, backend APIs, distributed services, data pipelines, and orchestration layers for secure enterprise use.

- Develop enterprise data integration capabilities across Databricks, Snowflake, and similar EDW/lakehouse platforms to unify, govern, and operationalize data for AI applications.

- Build agentic workflow automation for high-value enterprise jobs to be done across business systems, including retrieval, approvals, case management, triage, task coordination, and operational workflows.

- Define how agents, skills, MCP-based integrations, APIs, and agent-to-agent tooling work together securely across enterprise platforms, with strong governance, permissions, and auditability.

- Support modern orchestration patterns using frameworks such as LangChain, LangGraph, and similar tooling for multi-step and multi-agent workflows.

- Help operationalize NVIDIA AI technologies such as Nemotron and AI Blueprints in enterprise production environments.

- Mentor and lead engineers, codify shared architecture and reusable components, and partner across product, infrastructure, IT, enterprise data, and research teams to deliver measurable outcomes.

**Requirements:**

- BS, MS, or equivalent experience in Computer Science, Software Engineering, Data Engineering, or a related field.

- 15+ years building and operating production software, with significant experience leading architecture across application, platform, and data systems.

- Strong background in enterprise data architecture, including integration, pipelines, governance, lineage, observability, and modern EDW/lakehouse platforms such as Databricks, Snowflake, or similar systems.

- Hands-on experience building modern full-stack and platform systems using technologies such as TypeScript/JavaScript, React, Python, Go, Java, APIs, and distributed infrastructure.

- Familiarity with multi-agent systems, skills, MCP integrations, agent-to-agent tooling, and orchestration frameworks such as LangChain, LangGraph, or similar.

- Strong judgment, communication, and cross-functional leadership skills, with the ability to stay highly hands-on.

- Leverage AI coding tools such as Cursor, Claude Code, Codex, and similar systems to improve engineering productivity and development workflows.

- Establish strong engineering practices across testing, CI/CD, observability, rollout safety, incident response, and operational excellence.

**Nice to Have:**

- Experience creating reusable connectors, canonical models, or integration layers across systems of record.

- Experience delivering workflow automation that improves employee productivity, enterprise operations, IT workflows, or service operations.

- Experience building reusable infrastructure for agentic AI applications, including orchestration, memory/context, evaluation, and policy controls.

- Familiarity with identity, governance, trust, and permission models for enterprise agent collaboration.

- Experience with NVIDIA AI technologies such as NeMo, NIM, Nemotron, TensorRT-LLM, or AI Blueprints.

## Skills

### Required
- Enterprise data architecture
- Integration
- Pipelines
- Governance
- Lineage
- Observability
- Databricks
- Snowflake
- LangChain
- LangGraph
- Multi-agent systems
- Skills
- MCP integrations
- Agent-to-agent tooling
- Orchestration frameworks
- AI coding tools
- Cursor
- Claude Code
- Codex
- Testing
- CI/CD
- Rollout safety
- Incident response
- Operational excellence

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Software-Engineering-Lead---Enterprise-Data-Platforms_JR2016869?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)