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1 день назад

AI Systems Engineer (Aerospace)

156 500 - 189 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Systems Engineer (Aerospace): Designing and building multi-agent systems for NASA's Text-to-Spaceship initiative to convert natural language requirements into spacecraft designs with an accent on agentic workflows and physical viability. Focus on orchestrating LLMs, RAG, and reinforcement learning with integrations into CAD/FEA tools and AWS infrastructure.

Location: Remote, but home office must be less than 100 miles from Alexandria, VA or Philadelphia, PA

Salary: $156,500 – $189,000

Company

Woman-owned small business specializing in cloud-based geospatial data processing and Earth science systems.

What you will do

  • Architect multi-agent systems for the Text-to-Spaceship pipeline using LLMs and RAG.
  • Translate physical constraints (mass, thermal, radiation) into AI guardrails and prompt contexts.
  • Implement automated CAE/FEA workflows for autonomous design validation.
  • Develop integrations between AI agents and engineering tools (CAD, FEA, CAM) via MCP.
  • Deploy and scale AI workloads on AWS using containerized architectures.
  • Build evaluation frameworks to measure agent performance and pipeline reliability.

Requirements

  • Must be located within 100 miles of Alexandria, VA or Philadelphia, PA.
  • 2+ years of software engineering experience in aerospace, defense, or space sectors.
  • Strong fundamentals in Mechanical & Aerospace Engineering and Materials Science.
  • Proficiency in Python and experience with AWS services.
  • Experience with CAD/CAE scripting APIs (e.g., Fusion 360, ANSYS, SolidWorks).
  • Deep understanding of LLM fundamentals, prompt engineering, and structured outputs.

Nice to have

  • Proficiency in TypeScript.
  • Experience with agentic libraries like Pydantic AI and Model Context Protocol (MCP).
  • Knowledge of reinforcement learning or uncertainty quantification.
  • Contributions to open-source AI libraries.

Culture & Benefits

  • Flexible work schedules and a remote-friendly environment.
  • Competitive medical, dental, and vision insurance with HSA contributions.
  • 401(k) with a fixed 3% employer contribution.
  • Generous paid time off: 4 weeks + 1 day vacation and 40 hours sick leave.
  • Company-paid parental leave after one year of employment.
  • Cell phone stipend and a culture focused on work-life balance.

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