Teams at Positron AI

Build simulation and modeling infrastructure for AI inference accelerators before silicon availability. Develop analytical performance models, functional and timing simulators, virtual platforms, and software integrations. Validate functionality and performance against reference implementations and hardware, improve simulator speed and usability, and create automated regression coverage. Collaborate with hardware, compiler, firmware, runtime, performance, and test engineers to support architecture exploration and realistic software workloads.

Contribute to physical implementation of AI accelerator ASICs from floorplanning and macro placement through tapeout. Responsibilities include clock tree synthesis, place and route, timing, power, signal integrity, IR/EM, DRC, LVS, congestion, ECOs, metal fill, and signoff closure. The role also supports implementation methodology, advanced-node tapeouts, AI-enabled QoR analysis, and collaboration with RTL, synthesis, DFT, package, and backend teams.

Owns AI-assisted engineering across accelerator software teams, embedding agentic workflows into coding, debugging, triage, testing, documentation, CI, and silicon-debug processes. Builds shared agent tooling, maintains evaluations, measures productivity gains, and establishes standards for reliable AI-native development. Requires expert experience with Codex, Claude Code, LLM APIs, evaluations, and adopted developer tooling, plus strong systems or infrastructure credibility.