Software QA Engineer (ML & Hardware)
- Do great things: we deliver work we're proud to sign our name to.
- High velocity: speed matters. We move quickly, one step at a time.
- One unit: we're all in this together, with relationships grounded in trust, respect, and camaraderie.
- 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.
- 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.
- 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.
- 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.
- 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.
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