> Markdown version of [/jobs/ext/3527455-machine-learning-performance-engineer](https://www.wearedevelopers.com/jobs/ext/3527455-machine-learning-performance-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Performance Engineer - **Company:** Long Ridge Partners - **Location:** New York, NY, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** C++ (Programming Language), Compilers, Profiling, Python (Programming Language), Linux Kernel, Tensorflow, Graphics Processing Unit (GPU), Pytorch, Deep Learning, ONNX (Open Neural Network Exchange) Format, SAP Ariba, TensorRT - **Published:** September 30, 2026 - **Apply:** https://www.thejobnetwork.com/job/a06416cc-95f4-445e-b199-eba11c73f409/machine-learning-performance-engineer ## About the Role * 2+ years optimizing deep learning inference in latency-sensitive or high-throughput production environments, in any domain \n * ML frameworks: deep expertise in lower-level ML framework development (PyTorch/JAX), paired with strong Python/C++ skills and a thorough understanding of mixed-precision computation \n * Kernel development and tooling: proven experience building custom GPU kernels, with deep familiarity with optimization libraries and compilers (Triton, TensorRT, ONNX, IREE, HLS4ML, cuBLAS, CUTLASS) and profiling tools (Nsight Systems, Nsight Compute) \n * GPU architecture: deep expertise in GPU microarchitecture, including SM execution, warp scheduling, and full memory hierarchy optimization from registers to HBM