Design, deploy, optimize, and scale production AI and agentic workloads for strategic customers. Build benchmarking systems, automation tooling, deployment frameworks, starter kits, and operational playbooks. Optimize distributed inference, GPU efficiency, latency, reliability, and cost across AI runtimes and orchestration platforms. Validate new platform capabilities, influence product roadmaps, collaborate with infrastructure and model partners, and enable customer-facing technical teams. The role requires up to 30% travel for customer engagements, workshops, conferences, and collaboration.

Lead architecture and low-level optimizations for high-performance AI inference. Benchmark and tune GPU kernels, memory and precision management, parallelize across multi-node GPU clusters, implement quantization (FP8/INT8/FP4), advise on hardware/software stacks (CUDA/ROCm/Triton/TensorRT), mentor engineers, and collaborate to turn hardware limits into shippable inference products.