Senior Software Engineer, CUDA UMD - GPU Kernel Scheduling

Nvidia

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $152,000–$241,500 / yr
Employment: Full-time
Posted: 56 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $216k

This role $197k

$139k $277k

below market most similar roles pay here above market

This role pays less than 63% of similar roles. Most pay $196,750–$235,750 — the blue band above. At the midpoint, this role pays about $197k versus about $216k for comparable roles.

Based on 240 similar postings.

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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 1626 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1115 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, CUDA UMD - GPU Kernel Scheduling

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The Senior Software Engineer CUDA UMD - GPU Kernel Scheduling joins the team responsible for the CUDA Driver, a core component for accelerating general purpose computation on the GPU. This role involves architecting, evangelizing, and implementing new features to improve the CUDA APIs and programming model. Key responsibilities include extending functionality like CUDA Graphs to improve the scheduling of AI/ML workloads, writing maintainable code for multiple operating systems, and driving development efforts across multiple teams. Candidates must possess strong C and C++ programming skills, experience with large codebases, and a background in operating system interfaces for threads, process control, and virtual memory. Technical requirements include understanding system level architecture, interconnects, memory hierarchy, and interrupts, alongside experience writing and debugging multithreaded programs for diverse computational workloads.

What does a Software Engineer earn in California?

Median $214500 from 1223 postings across 76 companies.

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Skills

C C++ CUDA Device Drivers Parallel Computing Kernel Mode Development Linux Virtual Memory Memory Hierarchy Interrupts Memory-Mapped IO Operating System Interfaces AI/ML Workloads

What you'll do

Architect, evangelize, and implement new features for the CUDA Driver.
Coordinate and drive development efforts across multiple engineering teams.
Define forward-looking improvements to CUDA APIs and the programming model.
Extend CUDA programming models and functionality, specifically focusing on CUDA Graphs.
Research ways to use Graphs to improve scheduling for AI/ML workloads.
Write effective, maintainable, and well-tested code for multiple operating systems.
Develop system software for threads, process control, and virtual memory.

What we're looking for

BS or MS degree in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
Strong C and C++ programming skills.
Minimum of 4 years of related development experience.
Experience driving projects across multiple teams.
Experience working with operating system interfaces for threads, process control, and virtual memory.
Understanding of system level architecture, including interconnects, memory hierarchy, interrupts, and memory-mapped IO.
Experience writing and debugging multithreaded programs.
Good written communication and presentation skills.

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