Hiring: GPU Performance Engineer Company: Two Sigma Location: New York, United States Job Posted Time: 2026-09-03 11:07:26 Employment Type: Hybrid Target Skills & Keywords : AI, C++, Node.js, Python, TensorRT, Warp About the job Experience: •Background in HPC, scientific computing, or computational finance •Operational familiarity with GPU-accelerated data processing frameworks (RAPIDS, cuDF) •Enjoy The Following Benefits •Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance •Learning: Tuition reimbursement, conference and training sponsorship Required Skills: •Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors. •Two Sigma is building a new team to drive the firm's strategic transition from CPU-centric to GPU-accelerated computation. Accelerated Compute sits within AI Innovation and operates at the intersection of quantitative modeling workflows, GPU performance engineering, and infrastructure strategy. •You are a GPU programming expert. You write CUDA, you optimize kernels, you understand the memory hierarchy, you know why naive GPU code is slow and how to make it fast. You will ensure that when workloads move to GPU, they achieve the performance that justifies the transition. •Take On The Following Responsibilities •Design and implement GPU-accelerated kernels for financial computation workloads •Optimize GPU code for throughput, latency, and memory efficiency across current and next-generation hardware (Blackwell, Rubin) •Develop procedures for precision management (FP8/FP4 training and inference) in financial applications •Profile and optimize GPU workloads using NVIDIA tooling (Nsight Systems, Nsight Compute) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!