Job Description Permanent position for a GPUCUDA engineer for high throughput, low latency financial data analysis. Position is for an international financial trading company working in a team-based RD lab environment. This is a high-visibility, leading-edge position which will involve high-performance computing and hardware acceleration using FPGAs, GPUs, low-latency stacks, etc. Primary responsibilities will include - GPUCUDA development using C++ and python. - Hardware acceleration using GPGPUs and FPGAs. - Linux kernel tuning and network hardware latency optimization. - Working within a team-oriented, RD lab environment Salary will be commensurate with experience. Job Requirements BS or MS in computer engineering, computer science or similar. 5+ years of systems development experience, primarily LinuxUNIX. Sound understanding of GPU microarchitecture. Heavy experience with CUDA and parallel computing. Embedded CC++ a big plus. Experience with machine learning frameworks including Tensorflow or similar is highly desired.