QuEra Computing
Jobs at QuEra Computing
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Hardware • Quantum Computing
Supports engineering execution across software, hardware, quantum processing unit programs, and test infrastructure. Responsibilities include maintaining planning cadences, tracking dependencies, risks, milestones, decisions, and action items; managing Jira, Confluence, and GitHub hygiene; coordinating release readiness; monitoring operational metrics; preparing leadership updates; and improving engineering processes through standardization and automation.
Hardware • Quantum Computing
Develop software that orchestrates and controls quantum hardware, including pulse sequencing, device coordination, real-time control, APIs, middleware, diagnostics, calibration, automation, testing, and system integration. Collaborate with physicists, architects, and hardware engineers to build reliable, high-performance quantum operation systems.
Hardware • Quantum Computing
Conduct research on quantum applications for neutral-atom quantum computers. Projects may include mapping quantum simulation algorithms, developing hardware-aware resource estimation tools, modeling noise, and refining digital hardware twins. Collaborate with experts in quantum information and AMO physics, contributing to scalable quantum computing research and hardware development.
Hardware • Quantum Computing
Conduct research on quantum error correction for neutral-atom quantum computers. Projects may include designing logical gate schemes, improving decoding methods, simulating error-correction strategies, and implementing QEC protocols on quantum hardware. Collaborate with theoretical and experimental quantum-information scientists while contributing to fault-tolerant quantum-computing research.
Hardware • Quantum Computing
QuEra Computing invites candidates who visited the 2026 MIT Fall Career Fair to submit profiles for future consideration for permanent and internship opportunities. No specific position, responsibilities, qualifications, technologies, compensation, or work requirements are provided.
Hardware • Quantum Computing
QuEra Computing invites candidates who visited its MIT.nano Deep Tech Career Fair booth to submit profiles for future permanent and internship opportunities.
Hardware • Quantum Computing
Own and operate the engineering operating cadence: plan and synchronize cross-functional work across software, hardware, QPU, and test infrastructure; maintain dependency and risk visibility; enforce Jira/Confluence/GitHub hygiene; coordinate releases and readiness gates; track decisions to closure; produce concise reporting; and drive continuous improvement without owning technical decisions or resources.
Hardware • Quantum Computing
Build and deploy internal AI tools, LLM applications, and agentic systems from concept through production. Establish reusable engineering patterns, optimize models for cost, latency, and reliability, and create shared infrastructure. Partner with technical teams to deliver practical tools, mentor teammates, and drive autonomous end-to-end execution with strong testing, documentation, evaluation, and operational practices.
Hardware • Quantum Computing
Manage, scale, secure, and optimize Kubernetes clusters across on-premises and cloud environments. Build automation and infrastructure-as-code workflows, maintain observability and CI/CD integrations, troubleshoot complex systems, and improve performance, availability, and disaster recovery. The role also requires cluster security, networking, documentation, and mentoring, with preferred experience in service mesh, GitOps, policy enforcement, hybrid infrastructure, and specialized R&D environments.
Hardware • Quantum Computing
General profile submission for future consideration of permanent and internship opportunities with QuEra Computing following the Quantum Leap Career Nexus. No specific job responsibilities, qualifications, technologies, compensation, travel, or clearance requirements are provided.
Hardware • Quantum Computing
QuEra Computing is accepting general profiles for future permanent and internship opportunities following IEEE 2026 in Toronto. No specific role, responsibilities, qualifications, technologies, compensation, travel, or clearance requirements are provided.
Hardware • Quantum Computing
Senior Accountant overseeing accounting operations, global payroll, financial reporting, compliance, audits, tax activities, internal controls, budgeting, forecasting, and regulatory reporting. The role requires strong US GAAP, IFRS, SEC reporting, treasury, ERP, procurement, multi-currency accounting, and grant-finance expertise. This position supports the Controller, leads finance processes, manages teams, and provides financial guidance to company leadership.
Hardware • Quantum Computing
Administer and improve hybrid, multi-cloud infrastructure across Windows, Linux, networking, identity, security, and endpoint environments. Troubleshoot advanced routing and connectivity, manage NAC and IAM, automate provisioning and infrastructure changes, remediate vulnerabilities, support compliance audits, resolve complex escalations, and maintain documentation. Collaborate with business teams to improve IT processes, tooling, reliability, security, and end-user experience.
Hardware • Quantum Computing
Build and maintain quantum computer management systems, controls infrastructure, and calibration services. Own mission-critical software, collaborate with physicists and hardware engineers, and develop scalable, efficient systems. Responsibilities include debugging, troubleshooting, designing cloud-native microservices and event-driven architectures, working with scientific instrument data, and supporting system performance and operations.
Hardware • Quantum Computing
Lead QuEra’s developer relations efforts for neutral-atom quantum software. Manage the open-source community, create code examples and technical documentation, run conferences and educational programs, and bring structured user feedback to engineering and product teams. The role requires Python development, quantum computing knowledge, technical writing, codebase debugging, GitHub collaboration, and the ability to explain evolving software and hardware workflows to researchers and advanced developers.
Hardware • Quantum Computing
Lead integration, maintenance, and testing of heterogeneous hardware and software control systems for quantum computers. Manage infrastructure (HIL, containerized services, network hardware), automate provisioning/orchestration, integrate DevOps/CI-CD pipelines, implement monitoring/alerting, enforce access and lab best practices, and support incident response and root cause analysis.
Hardware • Quantum Computing
Design, architect, and deliver complex optical and opto-mechanical systems for neutral-atom quantum computers across R&D, productization, and maintenance. Collaborate with physicists and R&D, troubleshoot at headquarters and customer sites, advance engineering practices, and enable transition of scientific advances into manufacturable products.
Hardware • Quantum Computing
Lead photonic and optoelectronic component tapeouts and build AI-driven development pipelines for quantum computing hardware. Responsibilities span device design, simulation, layout, testing, system experiments, foundry collaboration, PDK integration, and automation of engineering workflows. The role partners with multidisciplinary engineering and quantum science teams to accelerate photonic chip development and integrate components into fault-tolerant neutral-atom quantum systems.
Hardware • Quantum Computing
Design and deliver advanced quantum computing education focused on quantum error correction and fault-tolerant quantum computing. Create courses, tutorials, notebooks, assessments, presentations, demos, hackathons, and community programs for industry, academic, and national laboratory users. Collaborate with research, product, and solutions teams to align content with Bloqade, neutral-atom hardware, APIs, and constraints. Translate research into learner pathways and improve curricula using feedback and learning data.
Hardware • Quantum Computing
Lead research in quantum algorithms, focusing on developing novel techniques for quantum computing and collaborating on algorithm-hardware co-design.



