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Arago Inc.

Software QA Engineer (ML & Hardware)

Reposted 16 Days Ago
Be an Early Applicant
In-Office or Remote
2 Locations
Mid level
In-Office or Remote
2 Locations
Mid level
Responsible for full ownership of quality assurance for the software stack, including developing automated testing frameworks, validating hardware, and managing bugs and issues.
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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.

  • Language: English at a proficient level. French is a plus.

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 ("Tank," "Trinity") to ensure simulation fidelity.

  • Hardware-in-the-Loop (HIL) Testing: Develop automated pipelines that execute directly on internal hardware to stress-test the firmware, drivers, and runtime under real workloads and edge conditions.

  • ML Model Regression Suite: Maintain and expand a library of standard ML models (e.g., HuggingFace, timm) used for continuous functional regression, numerical validation, and performance benchmarking.

  • Bug Triage & Management: Serve as the primary technical point of contact for internal developers and partners. Reproduce complex issues, perform root-cause isolation, write detailed bug reports, and coordinate fixes across engineering teams.

Pay and benefits
  • Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions.

  • Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers).

  • Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location.

  • Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays.

  • Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive.

  • Reimbursement of 50% of the public transport subscription fee.

  • A high-paced, multicultural (with 9 nationalities), and engineering-led environment.

Our Hiring Process: Your Journey to Arago
  • Screening Call : Get to know you beyond your CV.

  • Technical meeting : Deep dive into your past projects and technical achievements.

  • CEO Interview : Assess the fit with the team’s culture and long-term vision.

  • Reference Calls: Mandatory calls with your former managers to validate strengths, weaknesses, and work style.

  • Technical Assessment: Take-home technical assignment crafted to the role you’re applying for.

  • Final Interview : Discuss your technical assignment and address any remaining questions with team members.

Top Skills

C++
Gdb
Jtag
Linux
Pytest
Python
PyTorch
Qemu
TensorFlow

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