Teams at Positron AI

Own full-cycle recruiting for specialized hardware engineering roles, including ASIC, RTL, verification, physical design, DFT, and silicon validation. Partner with engineering leaders to define hiring needs, source passive candidates, manage interviews, close experienced engineers, and improve recruiting operations. Use pipeline data, recruiting tools, LLMs, and agentic AI to increase efficiency while maintaining human-centered candidate engagement.

Optimize end-to-end LLM inference performance on custom FPGA and ASIC accelerators. Responsibilities include profiling latency and throughput, tuning hardware-accelerated attention, optimizing distributed inference and KV cache data movement, building benchmarks and regression tests, and debugging across applications, runtimes, drivers, firmware, and hardware. The engineer will also influence accelerator architecture based on measured performance and support production deployments.

Designs and implements Go-based control-plane software for custom AI inference hardware. Responsibilities span system management APIs, Linux services, hardware interfaces, diagnostics, observability, security, firmware updates, distributed systems, and workload management. The role requires hands-on debugging across application, operating system, firmware, and hardware boundaries, plus technical leadership, mentoring, architecture, and production ownership. Regular on-site lab work includes server racking, system bring-up, hardware troubleshooting, and documentation.