1 day ago
Santa Clara, CA, USAMid Level
H1B sponsor
Base Salary
$116k - $230k/yr
Responsibilities
- Translate ambiguous finance problems into requirements, technical designs, success measures, and delivery plans.
- Prototype and productionize agents, retrieval-augmented generation, workflow automation, analytics, and machine learning applications.
- Integrate structured and unstructured data securely while improving access controls, data quality, and lineage.
- Lead technically and organizationally complex initiatives from discovery through launch and adoption.
- Create reusable reference architectures, engineering patterns, enablement assets, and executive-facing recommendations.
- Teach technical concepts to nontechnical audiences and influence stakeholders across functions without formal authority.
Requirements
- Hands-on experience with Python, SQL, Git, and Databricks or a comparable cloud data and AI platform.
- Practical experience building and deploying modern AI using LLMs, prompt/context design, agents, MCPs, evaluations, and APIs.
- Strong product and program judgment, including MVP definition, dependency and risk management, and iterative delivery.
- Working knowledge of responsible AI, privacy, security, and governance.
- At least 3 years of experience in computer science, data science or engineering, analytics, automation, or applied AI.
- BS or MS in Data Science, Computer Science, Engineering, Economics, Finance, Business Analytics, or a related field, or equivalent experience.
- Preferred experience includes applying AI or automation to finance functions, designing agentic workflows connected to SAP, SFDC, or Workday, and building technical communities or enablement programs.
Benefits
- Competitive base salary, equity, and comprehensive benefits.
- Salary range is $116,000-$184,000 for Level 2 and $152,000-$230,000 for Level 3.
- Applications are accepted at least until November 1, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.