Field Solutions Engineer, AI & Emerging Workflows – Aerospace and Defense

🔥 2 hours ago

🇺🇸 United States – Remote

💵 $135k - $190k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔧 Field Service Engineer

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nTopology

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏭 Manufacturing

🏗️ Construction

💰 $65M Series D on 2021-11

Manufacturing • Construction

nTopology is a software company building the next generation of engineering design tools for advanced manufacturing. As a dedicated group of engineers, they focus on creating innovative CAD, 3D printing, and additive manufacturing solutions that enable engineers to design parts with embedded functional requirements. Their unique combination of generative, manual, and simulation-based tools allows for tackling industrial-grade challenges effectively.

📋 Description

• Embed with strategic customers and technical partners to build nTop workflows, design automation, and proofs of concept • Connect nTop into AI-embedded and agentic engineering workflows, including headless automation, large-scale DOE and parameter sweeps, surrogate models, and agent-callable toolchains • Collaborate closely with Partnerships, Account Executives, Customer Success, and Product • Own technical project components within strategic customer and partner engagements • Deliver to a clear definition of done and surface risks and blockers early • Build workflows, design automation, and proofs of concept using real customer data • Write Python tooling and integrations connecting nTop to CAD, FEA/CFD, MDO, and agentic frameworks • Shape architectures for emerging workflows connecting nTop, simulation, data, compute, and AI agents • Support technical sales through discovery, demonstrations, and proof-of-concept development • Deliver tailored product demonstrations, including AI-embedded and agentic workflow demos • Lead solution reviews and scoping calls • Resolve workflow consultation requests across design automation and workflow development • Travel frequently to customer locations across the US for on-site collaboration

🎯 Requirements

• A Bachelor's and/or Master's degree in Mechanical, Aerospace, Computational Engineering, or a related engineering discipline, plus 3+ years of industry experience (highly relevant doctoral degrees can be substituted for three years) • Working knowledge of the aerospace design and analysis toolchain, including at least one of: parametric CAD (CATIA, Siemens NX, SolidWorks, Onshape); FEA (Nastran, Abaqus, Ansys, LS-DYNA); CFD (Fluent/CFX, Star-CCM+, OpenFOAM); conceptual design and MDO tools (OpenVSP, OpenMDAO, ModelCenter, HEEDS, Isight); or PLM (Teamcenter, 3DEXPERIENCE, Windchill) • Experience scripting in Python, including tools or integrations used by other engineers • Familiarity with the scientific Python stack (NumPy, SciPy, pandas), LLM APIs, agent frameworks, or tool-calling protocols (e.g., MCP), or at least one ML framework • Demonstrated ability to learn new technical software quickly • Systems thinking: able to map how geometry, simulation, data, and AI components fit together across a toolchain and reason about where automation adds the most value • Excellent communication and presentation skills, with the ability to explain complex topics to technical and non-technical audiences, including large groups and senior-level stakeholders • Demonstrated autonomy and responsibility in handling time-sensitive, critical projects • Willing to travel to customer sites and conferences (up to 50%)

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