GPU Architect
Job Description
NVIDIA, a global leader in accelerated computing and GPU technology, is seeking a GPU Architect to join their team in Bengaluru. This role sits at the intersection of hardware and software, focusing on the performance optimization of complex GPU and SoC architectures. The position offers an opportunity to work on cutting-edge technology that powers gaming, AI, and automotive applications.
The ideal candidate will be responsible for conducting detailed performance analysis of high-performance GPUs and SoCs, working with various hardware models and collaborating closely with architecture and design teams. They will develop workloads and test suites for various applications while driving methodologies for improved efficiency in the product development cycle.
NVIDIA has a strong track record of innovation, having revolutionized parallel computing and modern computer graphics. The company maintains a supportive and diverse environment where creativity and technical excellence are highly valued. This role offers the chance to make a significant impact on next-generation GPU architecture and contribute to NVIDIA's continued leadership in accelerated computing.
The position requires a strong technical background with at least 2 years of relevant experience, expertise in programming languages like C++ and Python, and a deep understanding of computer architecture. The role offers exposure to cutting-edge technology and the opportunity to work with some of the industry's brightest minds in a hybrid work environment.
Responsibilities For GPU Architect
- Performance analysis and bottleneck analysis of complex, high performance GPUs and System-on-Chips (SoCs)
- Work on hardware models of different levels of extraction
- Work with architecture and design teams on system performance, area, and power consumption trade-offs
- Develop workloads and test suits for graphics, machine learning, automotive applications
- Drive methodologies for improving turnaround time
- Develop infrastructure including performance simulators, testbench components and analysis tools
Requirements For GPU Architect
- BE/BTech or MS/MTech in relevant area, PhD is a plus
- 2+ years of experience with performance analysis and complex system on chip/GPU architectures
- Demonstrated history of technical leadership
- Strong understanding of System-on-Chip architecture, graphics pipeline, memory subsystem architecture
- Expert competence in programming (C/C++) and scripting (Perl/Python)
- Strong debugging and analysis skills
- Experience with Verilog/System Verilog, SystemC/TLM is a plus
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