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# Senior Technical Program Manager

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $168,000.0 - $258,750.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Computer Engineering, Github, Python (Programming Language), Open Source Technology, Search Technologies, Software Engineering, SQL Databases, Data Processing, Information Technology, Free and Open-Source Software
- **Published:** July 23, 2026
- **Apply:** https://www.disabledperson.com/jobs/73816756-senior-technical-program-manager

## About the Role

* Bachelor's degree in Computer Science, Computer Engineering, or a related technical field-or equivalent experience.
 * 8+ years of technical program management experience leading complex software initiatives in data science, data processing, accelerated computing, high-dimensional search, self-directed AI, or closely related domains.
 * Strong technical foundation with previous experience as an engineer, data scientist, or highly technical program leader, along with deep familiarity with open-source software development, the PyData ecosystem, GitHub, and GitHub-based engineering workflows.
 * Proven ability to lead multiple business-critical programs simultaneously, influence across organizations without direct authority, communicate effectively with both technical and executive audiences, and consistently deliver high-quality software in fast-moving environments.
 * A self-directed, adaptable leader who takes ownership, solves problems proactively, and drives results with minimal oversight.

Ways to stand out from the crowd:

 * Hands-on experience with Python, C++, data science, or GPU-accelerated computing.
 * Experience with vector search, agentic workflows, semantic search, text-to-SQL, intelligent query execution, or workload routing.
 * A track record of improving engineering processes, delivery systems, and program metrics to make organizations more scalable and predictable.
 * Experience partnering with research organizations to translate experimental work into production-ready software and successful customer outcomes.

## Description

* Own planning and execution for NVIDIA's GPU-accelerated data science and data processing libraries, building integrated roadmaps that balance long-term strategy, near-term priorities, and engineering capacity while defining program scope, milestones, success metrics, and execution plans.
 * Drive cross-functional execution across engineering, product, marketing, go-to-market teams, and the open-source community, managing dependencies, aligning stakeholders, tracking software readiness, resolving risks early, and ensuring predictable, high-quality releases.
 * Lead software release, security, and compliance programs while continuously improving development processes, tooling, and delivery practices to increase velocity, quality, collaboration, and predictability.
 * Build and maintain significant program metrics that measure release health, quality, delivery performance, adoption, and overall program success, using data to drive decisions and continuous improvement.


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