NVIDIA Corporation

Customer Success Insights Engineer

NVIDIA Corporation$168K — $322K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS degree in Computing Science, Engineering, Math, or equivalent experience
  • 8+ years in Data Engineering, Analytics Engineering, or Business Intelligence roles
  • Proven expertise in operationalizing Large Language Models for engineering applications
  • Deep expertise in Apache Spark, PySpark, Delta Lake, and Databricks Workflows
  • Advanced skills in SQL and Python, especially for API data ingestion
  • Experience integrating CRM with product telemetry for analytical models
  • History of building trusted executive dashboards and analytical narratives

Responsibilities

  • Design and operate automated data pipelines across various systems and platforms
  • Implement AI agents throughout the engineering lifecycle for quality control
  • Translate management inquiries into quantifiable metrics and self-serve dashboards
  • Maintain executive dashboards tracking platform usage and ecosystem vitality
  • Collaborate with cross-functional teams to validate data contracts
  • Establish measurement processes for dynamic data channels where APIs frequently change
  • Advocate for transparency in data accuracy before presenting to stakeholders

Benefits

  • Equity options
  • Access to innovative AI tools and technologies
  • Collaboration within a high-impact and dynamic team
  • Opportunities for professional development and certifications
Full Job Description
NVIDIA's Customer Success Business Insights team is looking for a Customer Success Insights Engineer to scale platform adoption through data and AI-native analytical solutions. You'll surface how customers, partners, and developers adopt NVIDIA platforms - and where we can accelerate their success.

What you'll be doing:
  • Design, build, and operate automated data collection and transformation pipelines across enterprise systems, vendor APIs, and public developer platforms into Databricks, with data quality gates, freshness monitoring, and fail-safe behavior built in from day one.
  • Use AI agents throughout the engineering lifecycle: multi-agent build workflows, automated verification, and adversarial review gates before anything reaches production or an executive audience.
  • Turn ambiguous adoption questions from leadership into measurable definitions, transparent metrics, and self-serve dashboards, including the caveats: knowing when signals must not be summed, funneled, or over-claimed.
  • Develop and maintain executive dashboards and recurring analytical products that track platform adoption, developer engagement, and ecosystem health across NVIDIA software.
  • Partner with Product, Marketing, Sales Operations, and external platform vendors to source new telemetry, validate data contracts, and establish baselines before changes ship, so every initiative gets a measured before and after.
  • Operationalize measurement for emerging channels (AI agent marketplaces, developer registries, model hubs) where APIs change weekly and un-captured history is lost forever.
  • Champion data honesty as a product feature: every number defensible, every source detailed, every anomaly investigated before it reaches a customer.


What we need to see:
  • BS degree in Computing Science, Engineering, Math or equivalent experience.
  • 8+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence, or similar roles in building production data products.
  • Agentic AI & LLM Mastery: Proven experience operationalizing Large Language Models (LLMs) into autonomous agents that can plan, use tools, and implement multi-step workflows, applied to real engineering: agent-assisted development, automated verification and review gates, or agentic pipelines that shipped to production.
  • Databricks Mastery: Proven deep expertise in Apache Spark, PySpark, Delta Lake, and Databricks Workflows. Hands-on experience scaling Unity Catalog is highly preferred.
  • Expert SQL and Python, including API-based data ingestion from enterprise systems and third-party platforms.
  • Experience integrating CRM and enterprise data (Salesforce or similar) with product telemetry into unified analytical models.
  • A track record of building executive-facing dashboards and analytical narratives that leaders trust and act on.
  • Excellent communication, stakeholder management, analytical, and problem-solving skills.


Ways to stand out from the crowd:
  • Background with NVIDIA AI technologies and platforms, or measurement of developer ecosystems (GitHub/GitLab telemetry, package registries, model hubs, marketplace analytics).
  • Experience designing multi-agent or agentic engineering workflows (Claude Code, Codex, Cursor, Nemotron, or similar) with verification and code review gates.
  • Active Databricks Certifications (e.g., Data Engineer Professional, Generative AI Engineer Associate).
  • MS in Computer Science, Data Science, or equivalent experience in a related professional background.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 21, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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