About Quandela:
Quandela stands as a global leader in quantum computing, driven by groundbreaking technology and a strategic vision for scaling quantum solutions. The company’s unique ability to offer both hardware and software solutions, along with its commitment to build energy efficient datacentres and scalability, positions it to play a key role in the next wave of innovation, and in many strategic and sovereign industrial sectors.
Join Us at the Forefront of Quantum Computing Innovation 🚀
Description of the Team
We are offering an incredible opportunity to join our team as a Software Validation Intern. This is your chance to gain hands-on experience in ensuring the quality and reliability of cutting-edge quantum computing solutions while working alongside industry leaders in a dynamic, international environment.
Your Key Responsibilities:
As a QA Engineer Intern, you will:
- Collaborate Across Teams: Work closely with QA and Development teams to understand project requirements and design effective test plans. As Quantum Application Team, Hardware Team, and Cloud Computing Platform to support the quality of software deliverables.
- Setup Testing Environments: Configure and maintain test environments to support efficient validation processes.
- Perform Functional Testing: Write and execute functional manual testing procedures, documenting and reporting results clearly.
- Develop Automated Tests: Write automated test scenarios using Gherkin syntax and generate automated reports to streamline quality assurance processes.
- Report Bugs Effectively: Create detailed, clear bug reports to ensure prompt resolution of issues.
- Document Processes: Maintain and update testing documentation to ensure consistency and accuracy.
- Currently pursuing a degree in Computer Science, IT, or a related field. This position is only valid with an Internship Agreement
- Ability to follow a structured development methodology.
- Strong analytical and problem-solving abilities.
- Familiarity with QA concepts, automated testing tools, and Gherkin syntax.
- A creative mindset with an energetic and autonomous work ethic.
- Excellent communication skills, both verbal and written.
- Willingness to collaborate within a multidisciplinary and international team.
- Strong English communication skills, both written and verbal.
- Swile Card (meal vouchers) 🍴🛒
- 50% participation in transportation costs 🚆
- Possibility of remote work 💻
- Internship Allowance between €1,200 and €1,400 per month 💰
- 1,5 days off per month, cumulative 🧳
What we also offer
A challenging and innovative work environment at the heart of quantum computing.
A diverse and collaborative company culture.
Opportunities for professional growth and skill development.
At Quandela, we believe that the strength of our team is the plurality of experiences, perspectives, and journeys. We are committed to building a respectful, inclusive, and welcoming work environment. All applications are welcome.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The structural integrity of quantum computing systems relies increasingly on standardized validation protocols to bridge the gap between experimental prototypes and commercial-grade reliability. As the industry transitions toward high-performance computing integration, the role of quality assurance serves as a critical stabilization layer within the software-hardware interface. Market signals indicate that the maturation of the quantum stack is currently hindered by the lack of automated, reproducible testing frameworks capable of handling hybrid classical-quantum workflows. This role type addresses the fundamental need for systemic verification, ensuring that algorithmic outputs remain consistent across evolving hardware modalities. By formalizing the validation pipeline, these functions secure the reliability of the "application enablement" layer, which is vital for industrial adoption and long-term trust in quantum-enhanced solutions.
The global quantum ecosystem is navigating a pivotal shift from laboratory-scale proof-of-concepts to integrated infrastructure environments. This evolution necessitates a robust quality assurance framework that extends beyond classical software engineering into the specialized domain of quantum system validation. Current macro-level constraints include a significant talent shortage at the intersection of computer science and quantum physics, alongside a lack of standardized benchmarking for noisy, intermediate-scale quantum (NISQ) devices. Furthermore, the fragmentation of hardware architectures—ranging from superconducting qubits to photonic systems—complicates the establishment of universal testing standards, making specialized validation expertise a strategic asset.
Public funding cycles and national quantum strategies increasingly prioritize the development of a "quantum-ready" workforce capable of implementing rigorous engineering methodologies. Within the value chain, the quality assurance function operates at the nexus of hardware development, cloud platform management, and end-user applications. This positioning is essential for mitigating the systemic risks associated with software regressions and hardware-software misalignment. As organizations scale their quantum operations, the transition toward automated, low-latency testing environments becomes a prerequisite for maintaining operational throughput and reducing the time-to-market for sovereign industrial applications.
Infrastructure dependencies also play a major role, as the integration of quantum processors into classical data centers requires high-fidelity validation of middleware and orchestration layers. Sector-wide efforts continue to address talent and integration challenges in quantum systems by fostering early-career entry points through structured pipeline development. This approach ensures that foundational engineering principles are embedded into the quantum lifecycle from the outset, supporting the overall stability of the emerging deep-tech economy.
The capability architecture for this role type centers on the implementation of advanced validation frameworks designed for high-concurrency and hybrid computing environments. Mastery of automated testing toolchains and behavior-driven development methodologies is essential for ensuring the reproducibility of results across complex software deliverables. These technical domains facilitate the structural throughput of development teams by providing rapid feedback loops and high-fidelity bug tracking. Furthermore, the interface between software validation and hardware performance monitoring is critical for identifying non-deterministic errors unique to quantum processing units.
Beyond standard functional verification, the capability set includes the configuration of scalable testing environments that can simulate or interface with quantum-classical cloud platforms. This architectural proficiency ensures that interoperability remains a core feature of the software stack, reducing friction during the integration of new hardware modalities. By standardizing documentation and verification protocols, these experts enable a high-level coupling between abstract algorithmic research and industrial engineering requirements. This strategic alignment protects the integrity of the technology roadmap as systems progress through higher technology readiness levels.
Bolsters the deterministic reliability of quantum-classical hybrid software stacks through rigorous validation
Mitigates systemic risks by identifying critical software-hardware misalignments before deployment
Accelerates the progression of technology readiness levels for enterprise-grade quantum solutions
Reduces integration friction across multidisciplinary teams via standardized testing documentation
Strengthens the stability of cloud computing platforms hosting remote quantum processors
Facilitates the adoption of behavior-driven development for complex quantum application workflows
Optimizes development lifecycles by implementing automated, high-fidelity feedback loops
Supports the scaling of quantum infrastructure through the configuration of robust test environments
Improves the transparency of software performance benchmarks against classical baselines
Protects capital investments in deep-tech by ensuring the quality of sovereign industrial software
Harmonizes foundational software engineering principles with the unique requirements of quantum systems
Enables the sustainable growth of the quantum workforce through structured capability development
Industry Tags: Quantum Software Validation, Quality Assurance Engineering, NISQ Systems, Photonic Computing, Hybrid Quantum-Classical Integration, Software Development Lifecycle, Automated Testing, Cloud Platform Reliability, Technology Readiness Level
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