NVIDIA
SeniorSoftwareEngineer-ChipSimulation
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“Senior Software Engineer - Chip Simulation at NVIDIA. Skills: Chip Simulation, Python, C, Linux systems programming, networking hardware features, InfiniBand, NVLink. Develop and maintain simulation models for next-generation NVIDIA networking hardware features. Build validation frameworks and test suites for InfiniBand and NVLink protocol implementations”
What You'll Achieve.
validate our next-generation datacenter GPUs before they exist in silicon; enabling firmware, driver, and architecture teams to develop in parallel with chip fabrication; power the world's largest AI supercomputers; enable rapid iteration and debugging; ensure accurate chip behavior modeling
Industry & Context.
debugging skills across multiple system layers and processes; Creative
What They're Looking For.
Must Have
Bachelor's Degree or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or related field, 5+ years of experience with Python and C in systems programming or infrastructure contexts, debugging skills across multiple system layers and processes, Knowledge of Linux systems programming
Nice to Have
Experience with networking protocols (InfiniBand, RDMA, NVLink, Ethernet) or distributed systems, Background in hardware/firmware environments or hardware-software co-development, Familiarity with simulation, emulation, or virtualization platforms, Experience with CI methodology & tools (Git, Gerrit, Jenkins, pytest), Systems-level performance optimization experience
What You'll Do.
Develop and maintain simulation models for next-generation NVIDIA networking hardware features
Build validation frameworks and test suites for InfiniBand and NVLink protocol implementations
Create automation tools and CI/CD pipelines for regression testing and result analysis
Design developer-friendly simulation environments that enable rapid iteration and debugging
Ensure accurate chip behavior modeling
How You'll Work.
Team & Collaboration
Working closely with hardware architects and cross-functional teams; Collaborate with hardware, firmware, and software teams; collaborative team player
Full Job Description
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is looking for an exceptional Hardware Simulation Engineer for the ChipSim team. You'll build software systems that validate our next-generation datacenter GPUs before they exist in silicon - enabling firmware, driver, and architecture teams to develop in parallel with chip fabrication. Working closely with hardware architects and cross-functional teams, you'll create simulation platforms for networking features like NVLink and InfiniBand that power the world's largest AI supercomputers. **What You 'll Be Doing:** * Develop and maintain simulation models for next-generation NVIDIA networking hardware features * Build validation frameworks and test suites for InfiniBand and NVLink protocol implementations * Create automation tools and CI/CD pipelines for regression testing and result analysis * Design developer-friendly simulation environments that enable rapid iteration and debugging * Collaborate with hardware, firmware, and software teams to ensure accurate chip behavior modeling **What We Need To See:** * Bachelor's Degree or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or related field * 5+ years of experience with Python and C in systems programming or infrastructure contexts * Strong debugging skills across multiple system layers and processes * Knowledge of Linux systems programming * Creative, motivated, and collaborative team player **Ways to stand out from the crowd:** * Experience with networking protocols (InfiniBand, RDMA, NVLink, Ethernet) or distributed systems * Background in hardware/firmware environments or hardware-software co-
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