Senior Technical Program Manager

NVIDIA Corporation; California (MO); Hybrid; USD 168,000 - 258,750; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in the Analytics & Data Intelligence team seeks a Senior Program Manager to own planning and execution for GPU-accelerated data science libraries, balancing long-term strategy with near-term priorities and defining scope, milestones, and metrics.

You will drive cross-functional collaboration across engineering, product, marketing, and the open-source community, lead releases, security, and compliance programs, and build dashboards to measure release health and impact.

Qualifications

• 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 experience as an engineer, data scientist, or senior technical program leader; familiarity with open-source software development and PyData ecosystem.

Responsibilities

• Own planning and execution for NVIDIA’s GPU-accelerated data science and data processing libraries, building integrated roadmaps with milestones and success metrics.
• Drive cross-functional execution across engineering, product, marketing, go-to-market teams, and the open-source community; manage dependencies and releases.
• Lead software release, security, and compliance programs while improving development processes and delivery practices.
• Build and maintain program metrics to measure release health, quality, and adoption; use data to drive decisions.

Skills

Python

C++

Data science

GPU-accelerated computing

Education

Bachelor’s degree in Computer Science or Engineering

Job description

For more than 25 years, NVIDIA has redefined computer graphics, video game development, and enhanced processing capabilities. Today, we are leading the next era of AI, building the platforms that power intelligent applications, robotics, autonomous systems, and the world's most advanced computing infrastructure. The Analytics & Data Intelligence team develops the GPU-accelerated data analytics and AI software that enables enterprises to process extensive structured and unstructured datasets at unprecedented speed. Our open-source technologies—including cuDF, cuML, cuVS, and cuOpt, are helping define the future of data science, vector search, and agentic AI.

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.

Qualifications

• 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.

Desired Skills & Standout Experience

• 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.

Compensation & Benefits

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.

Equal Opportunity

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.