Pasqal

About the Company

We build Programmable Quantum Simulators and Quantum Computers made of 2D and 3D Atomic Arrays.

Neutral atoms trapped in optical tweezers and addressed with laser beams are ideal indistinguishable quantum systems to realize superposition and entanglement, at the heart of powerful Quantum Information Processing. It is a highly scalable platform, benefiting from tens of years of development which has brought some of contemporary physics' most spectacular achievements: Bose-Einstein condensation, cavity quantum electrodynamics, etc...

We develop the lasers, the vacuum technology, the electronic controls and the software stack to make the individual atoms accessible to quantum programmers worldwide.

Listed Jobs

Company Name

Pasqal

Job Title

Software engineer - HPC-QC W/M

Job Description

Paris, France

Hybrid

11-11-2025

Company Name

Pasqal

Job Title

Internship - Simulation of Atom Loss Events in QEC Circuits - W/M

Job Description

**Job Title** Internship – Simulation of Atom Loss Events in Quantum Error Correction Circuits (W/M) **Role Summary** Master’s year‑end internship focused on developing and implementing simulation tools for atom‑loss errors in neutral‑atom quantum processors, optimizing fault‑tolerant circuits and designing loss‑mitigation protocols. **Expectations** Develop a deep understanding of atom‑loss error models, implement quantum error‑correction (QEC) simulation frameworks, and create strategies for loss detection and decoding with minimal overhead. Analyze logical error rates under realistic noise conditions and optimize algorithms for the neutral‑atom gate set. **Key Responsibilities** - Model atom‑loss errors in neutral‑atom platforms and evaluate their impact on fault‑tolerant computation. - Implement simulation frameworks for repetition, surface, and color QEC codes that include atom‑loss errors. - Design and test loss‑detection integration into syndrome extraction, keeping overhead low for deep circuits. - Develop delayed‑erasure decoding techniques using state‑selective readout to address unknown loss locations. - Optimize quantum algorithms for Pasqal’s neutral‑atom gate set and resource constraints. - Perform circuit‑level optimizations, comparing deep‑circuit and teleportation‑based approaches. - Analyse logical error rates as functions of loss fraction using experimentally motivated error models. - Produce clear documentation of code and simulation results. **Required Skills** - Strong background in quantum mechanics, quantum information theory, and quantum error correction. - Deep understanding of fault‑tolerant quantum computation and topological QEC codes. - Knowledge of erasure errors, syndrome extraction, and decoding algorithms (advantageous). - Proficient in Python programming. - Experience with quantum circuit simulation libraries (Qiskit, Cirq, Stim, etc.). - Ability to analyze and optimize quantum circuits. - Curious, proactive, and able to thrive in a fast‑paced research environment. **Required Education & Certifications** - Current enrollment in Master’s Level (Master 2) program in Quantum Physics, Quantum Information, or related field. - No specific certifications required; relevant coursework in quantum computing.

Palaiseau, France

On site

21-11-2025

Company Name

Pasqal

Job Title

Infrastructure Engineering Manager - Cloud/HPC (W/M)

Job Description

Job title: Infrastructure Engineering Manager – Cloud/HPC Role Summary: Lead and grow a DevOps and System Administration team to design, implement, and operate secure, resilient cloud and HPC infrastructure (primarily GCP and OVH). Drive technical decisions, infrastructure standards, CI/CD support, monitoring, governance, cost optimization, and incident response to enable quantum hardware and research workloads. Expectations: • 6+ years in infrastructure engineering, 2+ years managing engineering teams. • Proven experience with GCP; familiarity with OVH. • Strong background in Terraform, Ansible (or equivalent), network architecture (VPC, VPN, LB, DNS, firewall), Linux administration, containers (Docker), Kubernetes, IAM/security (SOC2, ISO27001, NCA‑CCC/ECC). • Hands‑on CI/CD tooling (GitLab CI preferred). • Excellent communication, stakeholder collaboration, and impact‑driven mindset. Key Responsibilities: • Manage, mentor, and scale the DevOps/Systems team. • Design and deploy secure, high‑availability cloud infrastructure. • Connect quantum processors to users via cloud platform and HPC software stack. • Operate and maintain the internal HPC cluster for research workloads. • Define architecture standards covering networking, identity, cost, security, and observability. • Support application teams with CI/CD pipelines, automation, and environment provisioning. • Implement monitoring, logging, alerting, and incident response processes. • Enforce cloud governance, compliance, and budget discipline. • Collaborate with department leaders to align technical strategy with business goals. Required Skills: • People management and team leadership. • Deep knowledge of GCP and/ or other public cloud platforms. • IaC expertise (Terraform) and configuration management (Ansible, XCAT). • Proficient in network stack (VPC, VPN, LB, DNS). • Linux systems administration; containerization and orchestration (Docker, Kubernetes). • IAM, encryption, and regulatory compliance (SOC2, ISO27001). • CI/CD tool proficiency, preferably GitLab CI. • Strong written and verbal communication. Required Education & Certifications: • Bachelor’s degree (or equivalent) in Computer Science, Engineering, or a related field. • Additional certifications in cloud platforms (GCP, AWS, Azure) and IaC (Terraform) are advantageous.

Paris, France

Hybrid

25-11-2025

Company Name

Pasqal

Job Title

Fast Atom Imaging with Deep Learning Internship

Job Description

**Job Title** Fast Atom Imaging with Deep Learning Internship **Role Summary** Intern will develop, validate, and deploy deep‑learning methods for high‑fidelity detection and denoising of fluorescence images of neutral‑atom qubits in a quantum processor. Work will involve experimental design, dataset generation, model benchmarking, and real‑time inference optimization on the QPU platform. **Expectations** - Deliver functional object‑detection and denoising pipelines that meet speed and accuracy targets. - Produce reproducible experiments and comprehensive evaluation reports. - Apply model compression techniques to achieve real‑time inference on the QPU. - Communicate results to the Register team and contribute to knowledge papers. **Key Responsibilities** - Implement YOLO, SSD, and other object‑detection architectures in PyTorch. - Design and train deep‑learning denoisers (e.g., CNN, U‑Net) for noisy fluorescence images. - Generate and label synthetic/real datasets under varied optical conditions. - Benchmark methods against state‑of‑the‑art and iterate on hyper‑parameters. - Optimize inference using pruning, quantization, and TensorRT compilation. - Interface with camera hardware and adjust settings for data acquisition. - Review and summarize relevant research literature. - Document code, experiments, and performance metrics. **Required Skills** - Python programming; experience with NumPy, pandas, PyTorch. - Basic version control (git) and shell scripting. - Knowledge of computer vision (machine‑learning or classical) highly desirable. - Understanding of deep‑learning model compression and deployment. - Comfortable working on Linux and with camera hardware interfaces. - Strong written and spoken English. - Proactive, autonomous, and communicative. **Required Education & Certifications** - Current Master’s (M2) student or recent graduate in Artificial Intelligence, Computer Science, Signal Processing, Applied Mathematics, or related field. - Focus on AI/ML coursework; proficiency in machine‑learning fundamentals. - No specific certifications required.

Paris, France

Hybrid

27-11-2025