What you'll be doing:- 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.
What you'll be doing:- 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.
Known throughout the tech industry as a leading employer, NVIDIA offers attractive compensation and an extensive benefits package. While planning your future, explore the opportunities available for you and your family at www.nvidiabenefits.com/
Alongside appealing compensation and a generous benefits package, NVIDIA is broadly recognized as one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: AI, Data Engineering, and Data Science. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.
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.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 25, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
