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Aerodynamics Methodology and Software Engineer

Harmattan AILausanne
On-site Full-time

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Experience Level

Experience

Qualifications

QualificationsMaster's degree in Aerospace Engineering, Computer Science, or a related field. Proven experience in high-performance computing and software development. Strong proficiency in Python and C++, with a focus on modular library development. Experience with cloud platforms such as AWS or Azure and Linux-based HPC environments. Familiarity with computational fluid dynamics (CFD) tools and methodologies. Demonstrated ability to work collaboratively in a fast-paced, technical environment.

About the job

About Us

At Harmattan AI, we are pioneering the development of autonomous and scalable defense systems for the next generation. Following a significant $200 million Series B funding round, which values our company at $1.4 billion, we are poised for growth and are enhancing our teams and capabilities to deliver critical systems to allied forces worldwide.

We are driven by our core values: creating impactful technologies, striving for excellence, setting ambitious goals, and tackling challenging technical problems. Our work environment is demanding, and we expect rigor, ownership, and high execution standards from our team members.

Role Overview

As an Aerodynamics Methodology & Software Engineer at Harmattan, you will serve as a vital link between aerospace physics and high-performance software engineering. Your primary objective will be to enhance our internal computational ecosystem, oversee our HPC/Cloud infrastructure, and convert research-oriented scripts into production-grade engineering software. You will play a key role in architecting our agentic AI workflows, developing custom MCP servers, and creating LLM-ready repositories to streamline complex simulation processes and design optimizations. You will engineer automated toolchains, enabling our team to rapidly iterate on UAV designs with unmatched precision and speed.

Key Responsibilities

  • Software Professionalization: Transform research scripts and specialized tools into modular, high-performance, maintainable Python/C++ libraries. Ensure adherence to robust unit-testing and documentation protocols, guiding team members in structured code development.

  • AI-Augmented Engineering & Orchestration: Design agentic workflows and custom MCP (Model Context Protocol) servers to integrate LLMs with internal CFD solvers and databases; document engineering insights into SKILLS.md or CLAUDE.md files for AI-driven code refactoring, automated simulation setups, and intelligent data analysis.

  • MDAO Toolchain Integration: Create a cohesive design environment by developing APIs and automated workflows that connect various tools (e.g., OpenVSP, XFoil, and OpenFOAM) into streamlined optimization cycles.

  • Infrastructure & Scalability: Optimize and manage our calculation infrastructure, including Linux-based HPC clusters (Slurm) and/or cloud computing platforms (AWS/Azure).

  • Aero Database (ADB) Management: Establish the data architecture for storing and retrieving high-dimensional aerodynamic results, ensuring that GNC and flight physics teams have a single source of truth for data.

About Harmattan AI

Harmattan AI is at the forefront of autonomous defense technology, developing scalable systems that are both innovative and impactful. With a recent valuation of $1.4 billion following a $200 million Series B funding, we are committed to enhancing our capabilities and expanding our teams to support allied forces effectively.

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