Apply knowledge of debuggers, binary instrumentation and computer architecture to enhance existing compute debugger tools and libraries, and extend them to new use cases
Develop compute debugger tools for GPUs running on Linux, Windows, and embedded operating systems
Work with tools, compiler, architecture and driver teams to design, implement and verify new features in the compute debugger and CUDA Debugger API
Work closely with internal and external partners including other peer organizations within NVIDIA
Effectively estimate and prioritize tasks in order to create a realistic delivery schedule
Write fast, effective, maintainable, reliable, and well-documented code
Provide peer reviews to other engineers
Document requirements and designs, and review documents with teams throughout NVIDIA
Mentor junior engineers

Requirements

BS or MS or equivalent experience in Computer Science
5+ years of experience
Strong programming ability in C++20 and Python
Excellent knowledge of computer architecture of x86 or ARM CPUs
Strong problem solving and debugging skills
Familiarity with low-level programming using assembly languages
Source control understanding (git, Perforce, etc.)
Ability to self-manage, communicate, and adapt in a fast paced, high demand environment with changing priorities and direction
Ability to work remotely across multiple time zones
Excellent communication skills, written and verbal.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

C++20Pythondebuggingbinary instrumentationcomputer architecturelow-level programmingassembly languagesCUDA Debugger APIsource controltask estimation

Soft Skills

problem solvingcommunicationadaptabilityself-managementmentoringtask prioritizationcollaborationpeer reviewdocumentationteamwork

Certifications

BS in Computer ScienceMS in Computer Science