Senior AI and Quant DevTech Engineer

What you'll do

• Design techniques to accelerate high-performance workloads at the intersection of AI, math, and financial systems.
• Analyze, scale, and optimize AI and HPC workloads; profile and remove bottlenecks across algorithms, kernels, and systems.
• Collaborate on future hardware, software, libraries, and programming models, and publish or present technical work.

What they ask for

• Hands-on experience with CUDA and parallel programming; deep understanding of CPU/GPU architecture and performance.
• Master’s or PhD in a related field.
• Fluency in C/C++, a solid foundation in algorithms and software design, and excellent understanding of linear algebra.
• Proven experience improving GPU performance of large-scale computational applications; strong communication, organizational, problem-solving, and prioritization skills.

Nice to have

• Inference optimization and deploying optimized AI models in production.
• Experience with TensorRT, TensorRT-LLM, cuTile, or optimizing machine learning methods such as decision trees, time-series models, and Monte Carlo simulations.

Pay

152,000 USD - 241,500 USD base salary (Level 3); 184,000 USD - 287,500 USD base salary (Level 4)

Tools

CUDA, C/C++, TensorRT, TensorRT-LLM, cuTile

AI focus

Accelerates and optimizes AI and machine-learning workloads, including inference and production model deployment.