Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leader in computer graphics and AI technology, and they are seeking an experienced Technical Program Manager. This role involves planning and executing GPU-accelerated data science initiatives, driving cross-functional collaboration, and improving development processes to enhance the quality and speed of software releases.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).
- Known throughout the tech industry as a leading employer, NVIDIA offers attractive compensation and an extensive benefits package.
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