Description
We're looking for an AI Developer Technology Engineer to push the limits of performance at the intersection of AI, high-performance computing, and financial markets. In this role, you'll dive deep into parallel algorithms, GPUs, and complex systems to identify and eliminate bottlenecks, unlocking the full power of the world's most advanced processing hardware.
Your responsibilities will include researching, designing, and developing groundbreaking techniques to accelerate high-performance workloads for FSI-focused, pioneering AI on NVIDIA CPUs and GPUs. You'll work with leading technical experts to analyze, optimize, and scale complex AI and HPC workloads for modern CPU and GPU architectures.
As a key member of our team, you'll profile and eliminate performance bottlenecks across the stack: from algorithms to kernels to system-level behavior. You'll publish and present your work in conferences, talks, and blogs to educate and inspire the broader developer community.
Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams is also a key aspect of this role.
To succeed in this position, you'll need to pursue or have recently completed a Master's or PhD degree in Computer Science, Computer Engineering, or Electrical and Computer Engineering or a related field. Relevant work or research experience is also essential.
Experience with low-level parallel programming (e.g., CUDA), a deep understanding of CPU/GPU architecture fundamentals, and fluency in C/C++ are required. Solid foundations in algorithms and software design, as well as good communication and organization skills, are also necessary.
Prior internship experience in a related field, experience with inference optimization techniques, and background in capital markets with exposure to systematic/algorithmic strategies or quantitative trading are highly valued.