This role pays more than
92%
of similar roles. Most pay
$177,250–$235,750
— the shaded band above.
At the midpoint, this role pays about
$261k
versus about
$206k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
The Senior Technical Program Manager - GPU Software joins the GPU Software team to manage the development of foundational kernel components, drivers, and firmware supporting various chipsets. This role involves collaborating with cross-functional peers to build detailed plans, align chipset and product roadmaps with software capacity, and balance global priorities. The manager will coordinate dependencies across functional areas, identify planning gaps, make prioritization decisions, and represent the team to other groups while partnering with hardware, release planning, and customers. Key responsibilities include developing new project management methods, unifying planning systems, and defining metrics to improve execution efficiency. Ideal candidates possess experience in software development, SOC, GPU, or CPU project management, along with knowledge of graphics, machine learning, or accelerated computing. The role requires proficiency in software productivity tools and process automation to solve complex technical integration challenges.
What does a Technical Program Manager earn in Washington?
Median $181250 from 43 postings across 12 companies.
GPU
Machine Learning
Artificial Intelligence
High-Performance Computing
Large Language Models
Cloud Computing
Training
Inference
Data Center
Computing Architecture
Accelerated Computing
GPU
Large Language Models
Machine Learning
Artificial Intelligence
High-Performance Computing
Cloud Computing
Datacenter Workloads
Training and Inference
Computing Architecture