Principal Software Engineering Lead — Enterprise Data Platforms

Nvidia

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $248,000–$391,000 / yr
Posted: 47 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $202k

This role $320k

$115k most similar roles pay here $421k

This role pays more than 97% of similar roles. Most pay $179,537–$223,750 — the shaded band above. At the midpoint, this role pays about $320k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 985 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 971 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Principal Software Engineering Lead — Enterprise Data Platforms

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As a Principal Software Engineer at NVIDIA, you will lead the engineering efforts to transform reactive IT support into strategic, AI-driven automated systems. Your day-to-day responsibilities include architecting and delivering enterprise-grade AI applications and workflow platforms that integrate with core systems like SAP, Salesforce, and ServiceNow. You will build resilient end-to-end systems using TypeScript/JavaScript, React, Python, Go, Java, and APIs, while also developing data integration capabilities on Databricks and Snowflake. Additionally, you will mentor engineers, establish strong engineering practices, and collaborate across various teams to operationalize NVIDIA’s AI technologies in enterprise environments. This role requires a BS or MS in Computer Science or related field with 15+ years of experience in building production software, extensive knowledge in enterprise data architecture, and hands-on expertise in modern full-stack development and orchestration frameworks like LangChain and LangGraph.

Skills

Python TypeScript JavaScript React Go Java Databricks Snowflake LangChain LangGraph CI/CD Terraform AWS Kubernetes PostgreSQL Git GitHub Jenkins Prometheus Grafana Nemotron TensorRT-LLM

What you'll do

Lead the architecture and delivery of enterprise-grade AI applications connecting to core systems.
Build resilient end-to-end systems including frontend, backend APIs, data pipelines, and orchestration layers.
Develop enterprise data integration capabilities across platforms like Databricks and Snowflake.
Automate high-value enterprise workflows for retrieval, approvals, case management, and task coordination.
Define secure governance and permissions for multi-agent integrations and agent-to-agent tooling.
Operationalize NVIDIA AI technologies in enterprise production environments to deliver measurable outcomes.

What we're looking for

15+ years of experience in building and operating production software systems.
Strong background in enterprise data architecture and modern EDW/lakehouse platforms.
Hands-on experience with 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.
Experience leveraging AI coding tools to improve engineering productivity and development workflows.
Strong judgment, communication, and cross-functional leadership skills for hands-on project management.

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