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

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with strategic customers and technical partners to develop nTop workflows, design automation, and proof of concepts.

• Integrate nTop into AI-driven and agentic engineering workflows, which encompass headless automation, extensive DOE and parameter sweeps, surrogate models, and agent-callable toolchains.

• Work closely with Partnerships, Account Executives, Customer Success, and Product teams.

• Manage technical project elements within strategic customer and partner engagements.

• Ensure clear delivery definitions and proactively identify risks and obstacles.

• Create workflows, design automation, and proof of concepts utilizing actual customer data.

• Develop Python tools and integrations that connect nTop to CAD, FEA/CFD, MDO, and agentic frameworks.

• Design architectures for novel workflows that link nTop, simulation, data, computing, and AI agents.

• Assist technical sales through discovery sessions, demonstrations, and proof-of-concept development.

• Provide customized product demonstrations, including those showcasing AI-embedded and agentic workflows.

• Facilitate solution reviews and planning discussions.

• Address workflow consultation inquiries related to design automation and workflow development.

• Travel frequently to collaborate with customers on-site across the US.

⛳️ Requirements

• A Bachelor's and/or Master's degree in Mechanical, Aerospace, Computational Engineering, or a similar engineering field, along with 3+ years of relevant industry experience (highly pertinent doctoral degrees may substitute for three years).

• Proficient understanding of the aerospace design and analysis toolchain, which must include at least one of the following: 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 in Python scripting, including the development of tools or integrations utilized by fellow engineers.

• Familiarity with the scientific Python ecosystem (NumPy, SciPy, pandas), LLM APIs, agent frameworks, or tool-calling protocols (e.g., MCP), or at least one machine learning framework.

• Proven ability to quickly grasp new technical software.

• Strong systems thinking skills: capable of understanding how geometry, simulation, data, and AI components interconnect within a toolchain and discerning where automation offers the most benefit.

• Exceptional communication and presentation skills, adept at conveying complex subjects to both technical and non-technical audiences, including large groups and senior stakeholders.

• Demonstrated independence and accountability in managing time-sensitive, critical projects.

• Willingness to travel to customer locations and conferences (up to 50%).

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Generous paid time off and flexible working hours.

• Opportunities for professional development and continuous learning.