Lead AI Architect at Kyndryl's AI Innovation Hub designing architectures for next - generation AI solutions. Collaborating with global teams to ensure technical excellence and drive innovation.
About the role
- AI Developer Technology Engineer designing and optimizing GPU-accelerated workloads for financial markets at NVIDIA. Collaborating with technical experts to analyze and improve performance of complex AI applications.
Responsibilities
- Research and develop techniques to GPU-accelerate high-performance workloads at the intersection of AI and financial markets
- Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC workloads to ensure the best possible performance on modern CPU and GPU architectures
- Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community
- Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA
Requirements
- Pursuing or recently completed a BS, MS or PhD in Computer Science, Computer Engineering, or related field
- Relevant work or research experience
- Experience improving the performance of large computational applications used by financial institutions
- Understanding of linear algebra
- Programming fluency in C/C++ with a deep understanding of algorithms and software design
- Hands-on experience with low-level parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, TBB, etc.
- Experience with CPU/GPU architecture fundamentals
- Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.
Benefits
- Equity
- Benefits
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