Forward Deployed Engineer

About us Axiomatic AI is building a new class of AI systems designed to reason with the rigor of the scientific method. By combining deep learning with formal logic and physics-based modeling, we create verifiable, interpretable AI systems that collaborate with and support human researchers in high-stakes scientific and engineering workflows.  Our mission, 30×30 , is to deliver a 30× improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by 2030.  We aim to revolutionize hardware design and simulation in these industries and are building a team of highly motivated professionals to bring these innovations from research into commercial products.   Position Overview We are seeking a Forward-Deployed Engineer with technical credibility in engineering design and hands-on experience in building agentic AI workflows for enterprise engineering environments. In this role, you will work directly with engineers, researchers, and engineering leadership at customer organizations to translate complex photonic device and circuit challenges into structured, deployable systems built on top of the Axiomatic Intelligence platform. You will serve as the technical bridge between customer requirements and product capabilities — architecting intelligent workflows, rapidly developing high-impact software demos, and shaping the transformation of photonics product design. Your work will span modeling, design, simulation automation, and design-space optimization, all while meeting stringent requirements around validation, IP protection, and deployment modality. You will serve as a highly professional and credible representative of Axiomatic AI, balancing technical rigor with a solution-driven and relationship-focused approach. Your Mission Customer Discovery & Technical Framing: Engage deeply with customer teams to understand device, circuit, and packaging design workflows. Translate ambiguous, multi-modal engineering requirements into clear technical architectures and delivery roadmaps. Act as a trusted technical partner during pilots, evaluations, and early production deployments. Rapid Prototyping & Agentic Workflows: Build high-impact prototypes demonstrating AI-assisted photonic modeling, multi-domain co-design, circuit optimization, and simulation automation. Design and deploy agentic AI workflows that orchestrate LLMs, physics-based models, simulations, scientific tools, and customer data. Iterate quickly based on real-world feedback while ensuring technical rigor and product readiness. Customer–Product Bridge: Collaborate closely with internal software and product teams to convert field learnings into scalable platform capabilities. Provide structured feedback to influence roadmap, architecture, and long-term product strategy. Key Requirements 7+ years of experience in software engineering, with at least 2 years in a customer-facing technical role (forward deployed engineering, solutions engineering, technical consulting, or pre/post-sales engineering). MSc or PhD in a science or engineering field. Solid programming skills in Python, able to read, modify, and extend production codebases to tailor the product to customer needs. Comfortable working across the current stack when a customer engagement requires it. Proven experience working directly with external enterprise customers: leading technical conversations, understanding their workflows, presenting solutions to engineering leadership, and managing expectations on timelines and tradeoffs. Ability to build high-impact demos and prototypes quickly, while making conscious decisions about technical debt, knowing that some demos will evolve into production features, and choosing technologies and patterns that allow for reuse when that happens. Ability to estimate effort and timelines for custom feature work and communicate realistic expectations to both customers and internal teams. Experience coordinating across multiple technical teams (engineering, product, AI, infrastructure) to deliver customer-driven solutions. Strong judgment on technical tradeoffs, knowing when to build custom vs. use what exists, when to take on tech debt for speed vs. when to push back, and when to escalate. Hands-on experience with modern AI tools (LLMs, APIs, agentic systems, orchestration frameworks). Excellent written and verbal communication skills; a highly effective listener; able to work directly with engineers, engineering managers, and enterprise stakeholders. Possess a naturally friendly, helpful and collaborative attitude, acting as a true partner to customers.   Nice to Have Hands-on experience building agentic AI solutions using modern frameworks (e.g., PydanticAI, LangGraph, LangChain, etc ). Experience with EDA-style environments or hardware-software co-design. Ability to design solutions that connect device-level physics, circuit-level constraints, and system-level automation. Ex