Senior AI and Quant DevTech Engineer

What you'll do

• Develop techniques to accelerate high-performance workloads at the intersection of AI, math, and financial systems.
• Optimize and scale complex AI and HPC workloads for modern CPU and GPU architectures.
• Profile and eliminate performance bottlenecks across algorithms, kernels, and system-level behaviors.
• Publish and present technical work in conferences, talks, and blogs to educate the developer community.
• Influence the design of future hardware architectures, system software, libraries, and programming models.
• Implement inference optimization techniques and deploy optimized AI models in production environments.
• Parallelize and optimize machine learning methods such as decision trees and Monte Carlo simulations.

What we're looking for

• Strong hands-on experience with CUDA and parallel programming.
• Deep understanding of CPU/GPU architecture fundamentals and their impact on performance.
• Master’s or PhD in Computer Science, Computer Engineering, Electrical and Computer Engineering, or a related field.
• Fluency in C/C++ and a solid foundation in algorithms and software design.
• 5+ years of relevant work or research experience.
• Proven experience improving the performance of large-scale computational applications on GPUs.
• Excellent understanding of linear algebra.
• Strong communication, organizational skills, and a logical approach to problem-solving.