About the job
About Us:
Axiomatic AI is at the forefront of transforming artificial intelligence by developing innovative AI systems that apply scientific reasoning with the rigor of the scientific method. By harmonizing deep learning with formal logic and physics-based modeling, we create AI systems that are not only interpretable and verifiable but also enhance human research capabilities in critical scientific and engineering workflows.
Our Vision: We are committed to achieving a 30× improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by the year 2030.
Our goal is to revolutionize hardware design and simulation across these industries, and we are assembling a dynamic team of dedicated professionals to transition these groundbreaking innovations from research into market-ready products.
Position Overview
We are looking for an experienced Lead Systems Engineer to take charge of the complete architecture and deployment of the AX-Measure platform. In this pivotal role, you will serve as the vital link between our internal R&D team and our external partners in the semiconductor and quantum manufacturing sectors.
Your responsibilities will include ensuring that our agentic AI, software infrastructure, and hardware control systems are seamlessly integrated to address critical customer challenges. You will translate customer needs into actionable technical specifications, oversee system integration, and spearhead the deployment of our technology in client facilities.
Key Responsibilities
- Design and define the end-to-end system architecture, detailing how AI agents interact with customer hardware, data infrastructure, and EDA workflows.
- Direct the technical integration of subsystems (including instrument drivers, algorithms, and database layers) to ensure a cohesive, fault-tolerant product.
- Establish and monitor system-level KPIs (e.g., measurement throughput, latency, thermal stability, data integrity, and failure rates) across the development team.
- Act as the primary technical contact for key customers, translating their requirements into engineering tasks.
- Lead the deployment and commissioning of our systems at customer sites, ensuring smooth integration with their existing toolchains.
- Collect user feedback to guide the product roadmap and prioritize R&D initiatives.
- Facilitate the integration of measurement software, instrument control layers, and modeling or design tools.
- Define product interfaces and abstractions that allow for scalable deployment across various hardware environments.
- Establish best practices for implementing agentic AI in high-stakes physical experimentation and manufacturing settings.