
GPU Modeling Expert
2 days ago
Experience : 15+ years (Senior / SME level)
Required Skills :
- Proficiency in C/C++ programming languages
- Experience in GPU modeling and simulation
- Expertise in Computer Architecture
- Knowledge of Graphics/Compute APIs like OpenGL and/or DirectX, OpenCL and/or CUDA, Vulkan
- Strong debugging and problem-solving skills
- Understanding of GPU architecture and graphics pipeline
- Knowledge of software development life cycle and tools
- Excellent written and verbal communication skills
- Ability to work independently and collaboratively within a team
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field
- Experience in semiconductor design services is a plus
Responsibilities :
- Working independently with little supervision.
- Provide some supervision/guidance to others.
- Having a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to provide input on key decisions).
- Use deductive and inductive problem solving; multiple approaches may be taken/necessary to solve the problem
- Must have excellent verbal and written communication skills to convey information to various stakeholders some of whom may have limited knowledge of the subject in question
- Building and improving our ecosystem around GPU-accelerated computing including developing large scale automation solutions.
- Supporting our researchers to run their flows on our clusters including performance analysis and optimizations of deep learning workflows. Improving reliability and overall Researcher Productivity.
- Architect and implement brand new strategies to optimize the utilization of our AI computing clusters, driving operational efficiency and resource maximization.
- Pioneer innovative solutions to streamline support processes, enabling our team to manage an unprecedented scale of GPU resources
- Lead the charge in building a future-proof AI computing infrastructure, ensuring seamless scalability and resilience to power groundbreaking AI models and applications.
- Collaborate with multi-functional teams to identify bottlenecks and opportunities for optimization, continuously improving the performance and cost-effectiveness of our AI computing operations.
- Empower your team with the tools, processes, and standard methodologies necessary to thrive in a dynamic, high-intensity environment, fostering a culture of operational excellence and continuous improvement
Desirable Additional Qualifications :
- Knowledge of Other Operating Systems : Familiarity with Windows, FreeBSD or RTOS driver models for cross-platform development.
- Experience with FPGA, SoC, or Custom Hardware : Useful for teams working on nonstandard PCIe endpoints or accelerators.
- Performance Tuning : Skills in profiling and optimizing for low-latency, high-throughput data paths.
- Community Engagement : Involvement in Linux kernel mailing lists, conferences (such as Linux Plumbers Conference), or speaking at industry events.
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