NVIDIA
Technology
SystemSoftwareEngineer,GPUDevelopmentTools
Neural analysis suggests this role is
optimal for Mid candidates.
“System Software Engineer, GPU Development Tools at NVIDIA. Skills: GPU Development Tools, System Software Engineering, C++, massively parallel algorithms, chip simulation, stimulus development framework. Design and architect features in compute and graphics stimulus development framework similar to OpenGL and CUDA. Coordinate with GPU architects to craft and implement infrastructure used for functional and performance verification for the upcoming architecture”
What You'll Achieve.
enable our incredible pace of delivering new technology to the market; enable the next generation of chips; enable GPU development and verification throughout the chip lifecycle; help produce the world’s next greatest generation of GPUs
Industry & Context.
analysis; debugging
What They're Looking For.
Must Have
Bachelors or masters in computer science / computer engineering or equivalent experience, 4+ years of overall experience with large portion of that working on C++ based projects, C++ programming capability required, Knowledge of object-oriented design patterns, Good understanding of system software and Operating Systems, expertise in design and development of complex massively parallel algorithms
Nice to Have
experience with boost or C++11/14 a plus, Experience with chip and/or system simulation a huge plus, scripting skills desired, Graphics or CUDA knowledge a plus, Experience with OpenGL, Vulkan, Direct3D, CUDA APIs a plus
What You'll Do.
Design and architect features in compute and graphics stimulus development framework similar to OpenGL and CUDA
Coordinate with GPU architects to craft and implement infrastructure used for functional and performance verification for the upcoming architecture
Design and develop GPU stimulus analysis tools such as debuggers & disassemblers
Empower GPU architects to understand application performance today and model industry-leading performance for tomorrow
Work closely with HW & SW teams to enable speed-of-light development of GPU software ecosystem
dramatically improve the daily workflows of the world's top chip modelers and designers to help produce the world’s next greatest generation of GPUs
develop the core infrastructure needed to generate stimulus for modeling
and debugging of upcoming general-purpose graphics and computing chips
How You'll Work.
Team & Collaboration
Coordinate with GPU architects; Work closely with HW & SW teams
Full Job Description
NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. We are now looking for a GPU Development Tools System Software Engineer. A key part of NVIDIA's strength is our sophisticated development tools and simulation environments that enable our incredible pace of delivering new technology to the market. We are looking for forward-thinking, hard-working, and creative people to join a dynamic software development team with high production-quality standards. Our work includes designing and developing frameworks for creating GPU workloads that enable functional and perf verification of GPU. NVIDIA is continuously pushing the state of the art in chip development software and infrastructure to enable the next generation of chips. In this position, you will develop the core infrastructure needed to generate stimulus for modeling, analysis, and debugging of upcoming general-purpose graphics and computing chips. Our infrastructure is critical to enable GPU development and verification throughout the chip lifecycle and is used across many diverse groups of engineers including but not limited to chip architects, driver developers, and verification engineers. **What you will be doing:** * As a member of the team, you will play a critical role in all stages of GPU development * Design and architect features in compute and graphics stimulus development framework similar to OpenGL and CUDA * Coordinate with GPU architects to craft and implement infrastructure used for functional and performance verification for the upcoming architecture * Design and develop GPU stimulus analysis tools such as debuggers & disassemblers * Empower GPU architects to understand application performance today and
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