3 дня назад
Field Solutions Engineer (Aerospace & AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Field Solutions Engineer (Aerospace & AI): Building nTop workflows, design automation, and proofs of concept for aerospace and defense customers with an accent on aircraft design, engineering toolchain integrations, and AI-embedded workflows. Focus on developing Python integrations, headless automation, parameter sweeps, surrogate models, and agent-callable engineering tools while supporting technical sales and customer engagements.
Location: US Remote, with frequent travel to customer sites and conferences across the US, up to 50% of the time; engagements may include longer-term on-site collaboration.
Company
builds engineering software for designing, testing, and manufacturing complex, high-performance products.
What you will do
- Own technical components of strategic customer and partner engagements and deliver against defined project outcomes.
- Build workflows, design automation, proofs of concept, and headless or batch executions for DOE, parameter sweeps, and surrogate-model training data.
- Develop Python tooling and integrations connecting with CAD, FEA/CFD, MDO, PLM, and agentic engineering toolchains.
- Shape end-to-end architectures connecting geometry, simulation, data, compute, and AI agents, and help transition proofs of concept into production.
- Support technical sales through discovery, demonstrations, and tailored proof-of-concept development.
- Lead solution reviews, scoping calls, and workflow consultations for customer teams.
Requirements
- Bachelor’s or master’s degree in mechanical, aerospace, computational engineering, or a related discipline, plus 3+ years of industry experience; relevant doctoral experience may substitute.
- Working knowledge of aerospace design and analysis tools, including at least one parametric CAD, FEA, CFD, MDO, conceptual design, or PLM toolchain.
- Professional Python scripting experience, including tools or integrations used by other engineers.
- Familiarity with scientific Python, LLM APIs, agent frameworks, tool-calling protocols such as MCP, or an ML framework.
- Strong systems thinking, communication, presentation, autonomy, and responsibility on time-sensitive technical projects.
- Willingness and ability to travel frequently, up to 50% or more.
Nice to have
- Aircraft conceptual or preliminary design experience, including aerostructures, propulsion integration, vehicle-level sizing, or MDO.
- software or automation experience.
- GPU-accelerated simulation, cloud or HPC orchestration, or physics-ML framework experience.
- Experience building agentic systems, MCP servers, or workflow orchestration around engineering software.
- Aerospace and defense programs, digital engineering, security clearance or eligibility, and experience with GTM or SaaS teams.
Culture & Benefits
- Remote work with customer-facing, on-site collaboration as required by engagements.
- Collaboration with Partnerships, Account Executives, Customer Success, Product, AI, and GPU-compute partners.
- Use of AI-assisted development and agentic tools as part of regular engineering work.
Hiring process
- Resumes are reviewed and employment decisions are made by ’s Hiring Team.
- Reasonable interview accommodations are available upon request.
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