Autonomy Flight Test Lead (Simulation & Validation)

Harmattan AI; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Immediate Impact

High System Scope

Direct Mission Impact

Cross-Functional Ownership

Résumé du poste

Harmattan AI in Paris/Lausanne seeks an Automated Testing Module Lead to own validation of the autonomy and flight-software stack. You will establish a fast, reliable validation engine, turning the current simulation platform into a scalable testing backbone.

You will lead a four- to eight-person team across sites, defining scenario libraries and execution strategies across SITL, HITL, and CI, while bridging gaps between simulation fidelity and real flight data.

Qualifications

• 8+ years in automated testing, simulation-based validation, or test engineering for complex physical/hardware-in-the-loop systems.
• Hands-on experience designing scenario-based test suites on a simulation platform and defining coverage that catches defects.
• Proven ability to lead distributed engineers and manage interfaces with platform providers and internal customers.

Responsabilités

• Lead and scale the automated testing module, building a scenario library for nominal, edge, and contested flight conditions.
• Define tests across SITL, HITL, and CI with gating policies and deterministic replay.
• Own interfaces with Tooling and Validation teams to ensure alignment and sign-off on test criteria.
• Drive sim-to-real correlation by comparing simulation models with real flight data to close the gap.

Connaissances

Python

C++

Linux

Docker

CI environments

Scenario design

SITL/HITL

Leadership

Ownership

Outils

Simulation platform

Description du poste

Harmattan AI in Paris/Lausanne seeks an Automated Testing Module Lead to own validation of the autonomy and flight-software stack. You will establish a fast, reliable validation engine, turning the current simulation platform into a scalable testing backbone.

You will lead a four- to eight-person team across sites, defining scenario libraries and execution strategies across SITL, HITL, and CI, while bridging gaps between simulation fidelity and real flight data.