Experience 15 years Senior SME level 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 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 recent 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 Note Please send Cv only who can attend the interview weekdays with short notice period max 15 days only Job Location Bangalore Work from office Job Type Full-time Pay 3 000 000 00 - 6 000 000 00 per year Benefits Provident Fund Work Location In person

📌 Gpu Modeling Expert (Karnataka)
🏢 Global Technologies
📍 Karnataka