Teams at Positron AI

Own rapid-response experiments and integration across AI hardware, software, and customer teams. Run LLM inference workloads on simulators and hardware emulators, profile performance, analyze counters and traces, and explain bottlenecks. Support host-side runtime and driver integration, then convert investigations into reusable models, scripts, experiments, and regression tests. The role requires strong systems programming, hardware proximity, Linux proficiency, and the ability to deliver repeatable results from loosely defined requests.

Build analytical and simulation-based performance models for large-scale AI inference deployments on Positron hardware. Model parallelism, networking, batching, latency, throughput, and mixed accelerator configurations; validate projections against hardware measurements; calibrate models as systems evolve; and create customer-facing sizing and performance-estimation tools. Partner with customers, product, and chip-modeling teams to compare deployments, explain performance drivers, and communicate assumptions and confidence levels.

Build the developer platform enabling AI coding agents to operate Positron AI’s chip simulators. Responsibilities include designing MCP servers, APIs, CLIs, agent workflows, CI guardrails, golden-reference testing, static analysis, reproducible runs, provenance tracking, and evaluation systems. The role partners with architecture and engineering teams to automate model bring-up and ensure agent-produced changes are verified before integration.