AI Forward Deployed Engineer, Lead

**About Positron AI** Positron AI is building next\-generation AI inference accelerators designed from the ground up for low\-latency, high\-throughput large language model inference. Our first\-generation ASIC, Asimov, is a cutting\-edge accelerator targeting frontier AI workloads, with additional generations already underway. **Role Overview** ----------------- The Accelerator Platform Software (APS) team owns the software closest to the metal: the host\-side platform layer, the device\-side runtime and firmware, the Linux\-based device OS, the simulation and emulation environments we use to build software ahead of silicon, performance and debug tooling, and product security. If it touches the accelerator, it goes through us. We build with AI\-native workflows, where agentic coding tools, a shared skills repository, and automation are core to how the team ships. This role sits on the Director's staff and owns making that leverage real across every sub\-team. Most companies would staff an entire developer\-systems team for this mission. We are hiring one person and giving them the whole thing. You will be the engineer who makes AI\-assisted development actually work in a shop where the code talks to registers and a wrong answer means a hung device, not a bad paragraph. You will embed with each sub\-team, find where their week goes, and build agentic workflows that give it back, then prove the gains with evaluations rather than enthusiasm. You report directly to the Director of APS, and your roadmap is yours to define from the friction you observe. **Key Responsibilities** ------------------------ **Forward deployment and workflow building*** Embed with APS sub\-teams across firmware, runtime, performance, and simulation, and build agentic workflows into how they actually work, including coding, debugging, triage, test generation, and keeping documentation honest. * Pair directly with senior engineers on their real work, earning adoption by making their week measurably better. **Tooling and shared infrastructure*** Own the shared skills repository and internal agent tooling that turn hard\-won team knowledge into reusable, evaluated automation. * Wire agents into CI and everyday engineering surfaces, including code review, log and trace triage, and silicon\-debug assistance. **Quality and evaluation*** Build and maintain evaluations so workflow quality is measured rather than guessed, and regression\-test the automation like any other production system. **Standards and culture*** Set the standard for what good AI\-assisted engineering looks like where correctness is non\-negotiable, and champion that AI\-native culture across the team. * Identify where AI leverage genuinely pays off and where it does not, and say so plainly. **Required Qualifications** --------------------------- * A strong software engineering background, with systems or infrastructure experience strongly preferred; this is an engineering role, not a prompt\-writi