Software QA Engineer (ML & Hardware)

Arago Inc.; Paris; Hybride; EUR 35 000 - 50 000; Plein temps

Résumé du poste

An innovative AI hardware company in Paris is searching for a Software QA Engineer. This role involves taking full ownership of quality assurance for the software stack, ensuring developers and partners can trust their tools. Candidates should have strong Python skills and experience with automated testing frameworks like PyTest, alongside familiarity with ML testing. This position offers a hybrid work environment, fostering collaboration and innovation among a diverse team.

Qualifications

• Strong Python programming skills and experience with PyTest.
• Understanding of software testing principles and debugging methodologies.
• Ability to read C++ code for debugging.

Responsabilités

• Architect and implement a scalable automated testing framework.
• Build systematic test suites for QEMU simulation vs. hardware validation.

Connaissances

Python programming skills

Experience with PyTest

Understanding of software testing principles

Familiarity with Linux environments

Ability to understand C++ code

Experience testing ML frameworks

Outils

GDB

JTAG

QEMU

Description du poste

Location

Paris Offices

Employment Type

Full time

Location Type

Hybrid

Department

Software

Meet Arago and the Aragonians

Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors.

Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs.

Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles:

1. Do great things: we deliver work we’re proud to sign our name to.

2. High velocity: speed matters. We move quickly, one step at a time.

3. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie.

Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders.

What you’ll do

As our Software QA Engineer, you will take full ownership of the quality assurance for our entire software stack—including simulation, runtime, firmware interactions, and core ML model execution. You will ensure that developers and early-access partners can trust our tools, that our hardware and simulation environments behave consistently, and that all issues are quickly identified, reproduced, documented, and driven to resolution by engineering teams.

Required Skills and Experience

• Strong Python programming skills and extensive experience with PyTest or similar advanced automated testing frameworks.

• Deep understanding of software testing principles, debugging methodologies, and familiarity with Linux environments and shell scripting.

• Ability to read and understand C++ code (essential for debugging and test creation at the kernel/runtime level).

• Prior experience testing ML frameworks or AI workloads (e.g., PyTorch, TensorFlow).

• Demonstrated ability to apply a systematic, detail-oriented approach to debugging complex systems.

Preferred Qualifications (Nice-to-Haves)

• Experience with embedded systems, firmware testing, or Hardware-in-the-Loop (HIL) workflows.

• Prior experience validating simulators or hardware accelerators.

• Comfort with low-level debugging tools (GDB, JTAG, serial consoles, QEMU).

• Experience building benchmarking suites for ML workloads and reproducible test pipelines within CI environments.

Responsibilities

• Automated Test Framework Development: Architect and implement a scalable automated testing framework (PyTest) capable of validating everything from individual kernel operators to full AI model execution across our stack.

• Simulation vs. Hardware Validation: Build systematic test suites that quantify behavioral and numerical differences between our QEMU simulation and internal hardware platforms (