GPU Modeling Expert

4 days ago

Bengaluru, Karnataka, India Global Technologies Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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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