
Gpu Modeling Expert
24 hours ago
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
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
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)**
Pay: ₹3,000,000.00 - ₹6,000,000.00 per year
**Benefits**:
- Provident Fund
Work Location: In person
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