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Forward Deployed Engineer

Job in Lawrence, Essex County, Massachusetts, 01842, USA
Listing for: Axiomatic-AI Inc.
Full Time position
Listed on 2026-07-08
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below

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 validation, IP protection, and deployment requirements.

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
  • MSc or PhD in a science or engineering field.
  • 4+ years of experience in software engineering, applied AI, forward‑deployed engineering, or solution engineering roles.
  • Strong programming experience, primarily in Python (scientific computing, workflow orchestration, API integration).
  • 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.
  • Demonstrated experience working directly with customers or internal stakeholders to deliver technical solutions.
  • Possess a naturally friendly, helpful and collaborative attitude, acting a true partner to customers.
Nice to Have
  • Hands‑on experience building agentic AI solutions using modern frameworks (e.g., Lang Chain, Pydantic, Llama Index, Ray, Prefect, or similar).
  • Experience with EDA‑style environments or hardware–software co‑design.
  • Familiarity with cloud infrastructure, APIs, and deployment workflows.
  • Ability to design solutions that connect device‑level physics, circuit‑level constraints, and system‑level automation.
  • Familiarity with enterprise deployment models (cloud, hybrid, on‑prem) and HPC or cluster‑based compute environments.
  • Experience working with research teams, applied scientists, or R&D organizations on production software.
What we Offer
  • Competitive compensation.
  • Stock options plan.
  • Access to cutting‑edge tools and collaborative opportunities with leading experts in AI, physics,…
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