Principal Software Engineering Lead — Enterprise Data Platforms

What you’ll be doing:

• Lead the architecture and delivery of enterprise-grade AI applications and workflow platforms that connect to core systems of record such as SAP, Salesforce, Service Now, 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 Lang Chain, Lang Graph, 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.

• 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 Type Script/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 Lang Chain, Lang Graph, 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.

• 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD.

You will also be eligible for equity and 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 is 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.