AMD

Senior Software Engineer focused on NPU firmware and AI acceleration, implementing features for efficient ML workload inferencing on NPU hardware, debugging applications and firmware, and contributing to future architecture.

Principal Software Engineer focused on optimizing AI inference performance and distributed systems at AMD, working with the latest hardware and software technologies. Responsibilities include developing techniques for scale-up/scale-out inference, creating methods and tooling for dynamic resource utilization in inference, and supporting the ROCm ecosystem.

This role focuses on designing, testing, and validating reference architectures for large-scale AI training and inference clusters. The engineer will develop tools for efficient cluster management, create documentation, serve as a technical interface with customers, conduct proof-of-concept implementations, and evaluate/benchmark infrastructure performance. Expertise in Kubernetes, AI/ML workloads, datacenter networking, GPU computing, and performance optimization for inference deployments is required.