Machine Learning Engineer (CUDA) | $250/hr Remote | Mercor

At Crossing Hurdles, we work as a referral partner. We refer candidates to Mercor that collaborates with the world’s leading AI research labs to build and train cutting-edge AI models. Organization: Mercor Position: CUDA Kernel Optimizer – ML Engineer Type: Hourly Contract Compensation: $120–$250/hour Location: Remote Commitment: 10-40hr/week, flexible and asynchronous Role Responsibilities: (Training support will be provided) • Develop, optimize, and benchmark CUDA kernels for tensor and operator workloads • Tune for occupancy, memory coalescing, instruction-level parallelism, and optimal warp scheduling • Profile and diagnose performance bottlenecks with tools such as Nsight Systems and Nsight Compute • Report performance results, analyze speedups, and propose architectural improvements • Integrate kernels with PyTorch and collaborate asynchronously with operator specialists • Produce reproducible benchmarks and write comprehensive performance documentation Required Qualifications: • Deep expertise in CUDA, GPU architecture, and memory optimization • Proven record of quantifiable performance improvements across hardware generations • Proficiency with mixed precision, Tensor Core usage, and low-level numerical stability • Familiarity with PyTorch, TensorFlow, or Triton (preferred but not required) • Strong communication and independent problem-solving skills • Demonstrated contributions in open-source, research, or performance benchmarking Application process: (Takes 20 min) • Upload resume • AI interview based on your resume (15 min) • Submit form