Used Tools & Technologies
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Required Skills & Competences ?
Software Development @ 3 Python @ 2 Perl @ 2 Debugging @ 3 API @ 3 CUDA @ 3 GPU @ 3Details
A key part of NVIDIA's strength is our sophisticated development tools and modeling environments that enable our incredible pace of delivering new technology to market. We are looking for forward-thinking, hard-working, and creative people to join a multifaceted software team with high production-quality standards. This software engineering role involves developing high-level chip models, test APIs and trace generation workflows, and analysis tools. As a member of the software development team, you will engineer and improve the core infrastructure for execution, automation, and debugging the development of large-scale, general-purpose graphics and computing chips. This infrastructure enables our driver stack, applications, tests, and studies to run unchanged on all functional, diagnostic, and performance models.
Responsibilities
- Play a critical part in every stage of development of a GPU.
- Improve the daily workflows of the world’s top chip modelers and designers to help produce the next generation of GPUs.
- Empower GPU architects to understand application performance today and model future competitive performance.
- Coordinate with architecture and software teams to enable functional and performance testing for the next architecture.
Requirements
- Bachelor’s or higher degree in Computer Science, Computer Engineering, or related major (or equivalent experience).
- 5+ years of experience.
- Aptitude to work across the GPU, driver, and application stacks.
- Strong C/C++ is a must-have capability.
- Some familiarity with a scripting language, such as Python or Perl.
- Excellent interpersonal skills and ability to multi-task.
- Flexibility for working in an evolving environment with different frameworks and requirements.
Preferred / Ways to stand out
- Experience working on operating system kernels or writing device drivers with strong systems-level debugging skills.
- Knowledge of GPU APIs such as DirectX, CUDA, Vulkan, or OpenGL.
- Experience with chip and/or system simulation.
- Deep understanding of systems architecture: CPU, GPU, memory, display, buses, kernel internals.
- Advanced programming expertise with full-stack web-based visualization technologies to help provide data insights.
Additional details
- #LI-Hybrid (role listed as Hybrid).
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
- You will also be eligible for equity and benefits (see NVIDIA benefits page).
- Applications for this job will be accepted at least until October 20, 2025.
- NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.