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GPU Modeling Expert

GPU Modeling Expert

Global TechnologiesBangalore
8 days ago
Job description

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.
  • (ref : hirist.tech)

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