Genesis seeks an experienced ML infrastructure engineer to build low-latency on-device inference pipelines and scale GPU-accelerated workloads in production. The role emphasizes real-time performance, robust monitoring, and a system-level mindset for efficient hardware-software orchestration.
You will optimize CUDA and Triton kernels, tune memory and scheduling, and collaborate across teams to maintain throughput without compromising latency.
#J-18808-LjbffrInference Systems Engineer: Low-Latency, On-Device in san carlos at Unknown Company
This position is listed as full time and onsite.