Quandela is a European leader in photonic quantum computing. We deliver high-performance quantum processors—on-premise or through cloud access—enabling organizations to explore quantum advantage in optimization, simulation, and machine learning. As we scale to meet rapidly growing market demand, we are expanding our Sales Engineering organization to help enterprise, HPC centers, and research institutions adopt quantum technologies seamlessly.
As an Senior Technical Presales Engineer at Quandela, you will serve as the technical bridge between our sales team and prospective customers for the European region.
You will analyze complex HPC environments, evaluate workloads, and design tailored quantum system configurations that integrate smoothly with existing infrastructures.
Your mission is to help organizations understand how quantum computing fits within their HPC strategy, demonstrate the technical value of Quandela’s photonic quantum platforms, and ensure strong technical qualification during the sales cycle.
This role is ideal for someone with deep HPC expertise and a passion for emerging technologies.
Key Responsibilities
1. Technical Discovery & Assessment
- Engage with customers (HPC centers, industry R&D teams, national labs) to understand their infrastructure, workloads, and performance constraints.
- Analyze hybrid HPC+quantum use cases and map them onto Quandela’s hardware and software capabilities.
- Evaluate customer readiness and propose integration strategies
2. Solution Architecture
- Design quantum system configurations, including processors, control electronics, photonic modules, and integration with HPC orchestration frameworks.
- Define resource sizing, hybrid workflow pipelines, and networking requirements.
- Prepare technical documentation and architecture diagrams for proposals.
3. Presales Support
- Lead technical presentations, deep dives, demos, and proof-of-concepts.
- Respond to RFPs/RFIs with accurate, high-quality technical content.
- Work closely with Sales, Product, and Engineering to ensure alignment between customer needs and Quandela’s roadmap.
4. Performance Benchmarking & Demos
- Run HPC and quantum benchmarks to demonstrate performance gains or hybrid efficiency.
- Support customer pilots and on-premise deployments.
- Partner with application engineers to create customized demos.
5. Customer Enablement
- Train customer HPC teams on using Quandela’s quantum SDK, simulators, and cloud platform.
- Produce technical guides and onboarding materials.
- Assist with early adoption and operationalization.
Technical Skills
- 6+ years experience in HPC engineering, integration, system architecture, or scientific computing.
- Solid understanding of:
- HPC clusters, schedulers (Slurm, PBS, Kubernetes)
- High-speed interconnects (InfiniBand, Ethernet), parallel computing
- Python for scientific workflows
- Linux administration and distributed systems
- Experience deploying or integrating advanced accelerators (GPUs, AI accelerators, FPGAs, etc.)
- Familiarity with quantum computing concepts
Presales / Customer-Facing Skills
- Experience in technical presales, sales engineering, or customer-facing technical roles.
- Ability to translate complex HPC and quantum concepts into clear, compelling explanations tailored to different audiences (technical, managerial, executive).
- Proven experience leading:
- Technical discovery sessions
- Workload assessments
- Architecture reviews
- Proof-of-concepts and benchmarks
- Strong skills in building technical proposals, RFP/RFI responses, and solution design documents.
- Capacity to conduct technical demos, workshops, and training sessions.
- Ability to collaborate closely with Sales, Product, and Engineering to align customer needs with technical roadmaps.
- Comfortable presenting to both technical experts (HPC admins, researchers, architects) and non-technical stakeholders.
- Willingness to travel across Europe to meet customers, support workshops, deliver technical presentations, and participate in pilots or deployments.
Soft Skills
- Strong communication skills—clear, structured, and customer-oriented.
- Excellent problem-solving abilities and analytical mindset.
- Ability to work autonomously in exploratory or experimental contexts.
- Strong adaptability in a fast-evolving deep-tech and quantum computing environment.
- Ability to manage multiple opportunities or POCs in parallel while maintaining high quality.
- Curious, proactive, and eager to learn new technologies (quantum computing, photonics, hybrid HPC workflows).
- Ability to build trusted relationships with technical stakeholders in demanding environments (HPC centers, labs, industry R&D).
- Team player comfortable in cross-functional collaboration
- Fluent in German & English (French is a plus)
Bonus / Nice-to-Have
- Experience with scientific domains such as physics, optimization, or machine learning.
- Experience with cloud HPC providers (AWS, Azure, Google Cloud HPC).
- Understanding of DevOps practices for HPC
- Previous exposure to quantum SDKs (Qiskit, PennyLane, etc.).
- Experience in technical writing, tutorials, or community engagement.
Join Europe’s pioneer in photonic quantum computing, at the forefront of HPC–Quantum convergence.
Contribute to building strategic international partnerships with global technology, industrial, and institutional players.
Be part of a high-impact, multidisciplinary team operating at the cutting edge of science and business.
Work in a flexible, international, and innovation-driven environment.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The Technical Presales Engineer function is structurally essential for translating nascent quantum capabilities into integrated, viable enterprise solutions. This role addresses the fundamental market gap between early-stage quantum hardware performance (Technology Readiness Level 4-6) and the complex, production-grade requirements of High-Performance Computing (HPC) environments. By serving as the technical liaison, this position enables crucial organizational change management, demonstrating quantitative value propositions, and de-risking pilot deployments. The work directly impacts the quantum adoption curve by accelerating the transition from proof-of-concept testing to operational hybrid classical-quantum workflows, thereby validating market demand for advanced quantum hardware platforms.
The European quantum technology landscape is currently defined by intense specialization among hardware vendors and significant friction at the HPC integration layer. As quantum hardware, such as photonic systems, moves toward scalable commercial deployments, the immediate bottleneck shifts from physical qubit stability to system-level access and interoperability with existing customer infrastructure. Vendors like Quandela operate within this convergence, requiring specialists who can navigate complex technical landscapes encompassing classical network architecture, job scheduling (e.g., Slurm), and distributed scientific computing protocols. This technical presales function is critical for overcoming vendor fragmentation, ensuring that proprietary quantum systems can be seamlessly mapped onto client computational requirements.
Macro constraints involve balancing the theoretical quantum advantage with the practical overheads of hybrid execution. Public funding cycles across Europe increasingly mandate demonstrable pathways to commercial application, placing pressure on vendors to provide robust benchmarking and transparent performance metrics. This role is positioned on the frontier of application enablement, bridging the expertise gap where clients possess deep domain knowledge but lack the necessary quantum-specific integration skills, thus accelerating workforce readiness across strategic vertical industries.
The technical skill architecture underpinning this role centers on systems integration and computational workflow mapping. Core capability domains include deep knowledge of high-performance networking standards (InfiniBand), distributed file systems, and proficiency in orchestrating heterogeneous compute resources, particularly integrating specialized accelerators like GPUs and FPGAs with quantum processing units (QPUs). These capabilities are vital for defining efficient hybrid execution pipelines, where complex classical pre- and post-processing tasks interface with the limited coherence windows of near-term quantum hardware. The ability to architect scalable solutions, often involving cloud-based HPC providers, ensures that quantum resources can achieve high throughput and low latency, which are prerequisites for commercial utility and reproducibility in large-scale scientific computing and optimization use cases. Mastery of the quantum software development kit (SDK) layer allows for precise technical qualification, ensuring client applications align with the specific physical constraints and capabilities of the photonic hardware. * Accelerate market entry by quantifying performance uplift in initial customer engagements.
* De-risk large-scale infrastructure investments for European HPC centers engaging in quantum modernization.
* Validate the technical readiness level (TRL) of quantum hardware through rigorous customer-driven benchmarks.
* Establish architectural best practices for hybrid classical-quantum workflow deployment across verticals.
* Decrease the time-to-value realization for early adopters pursuing computational advantage.
* Translate complex quantum physics constraints into accessible, actionable engineering requirements for IT leadership.
* Reduce technical friction during the procurement process for high-value research and enterprise contracts.
* Inform product development roadmaps by providing verifiable, actionable feedback on customer integration pain points.
* Expand the addressable market by successfully translating non-obvious applications into viable quantum use cases.
* Strengthen inter-organizational coordination between customer R\&D, operations, and vendor engineering teams.
* Standardize the process for responding to sophisticated public sector and national lab Requests for Proposal (RFPs).
* Cultivate a European quantum adoption ecosystem through targeted technical enablement and knowledge transfer.Industry Tags: Quantum Computing, Photonic Systems, High-Performance Computing, Solution Architecture, Presales Engineering, System Integration, Quantum Enablement, Hybrid Workflows, Scientific Computing, Deep Tech
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