Quera Computing jobs

Sr Technical Product Manager Boston, MA, USA Job Title: Senior Technical Program Manager Job Type: Full-time Job Location: Boston, MA Reports to: VP of Quantum Computing Services Summary QuEra is seeking a Senior Technical Program Manager to lead the cross-functional development program for QuEra's next-generation quantum computing system-which may become the world's first fault-tolerant quantum computer. This program spans R&D thrusts, technical milestones, product definition, strategic partner collaboration, and ultimately launch as a quantum computing service. This role is execution-oriented and cross-functional, coordinating work across hardware and software engineering, research, and operations. It requires deep engagement with strategic partners, structured program execution, and the ability to translate complex technical roadmaps into actionable plans. The role includes limited product management responsibilities scoped to requirements collection and feedback. Year 1 Focus Stand up and drive the next-generation machine program across 3 threads: - [Strategic Partnerships] Manage the programmatic interface with strategic partners: joint development activities, shared milestones, information flow, and ensuring partner collaboration accelerates the program. - [R&D Coordination] Coordinate across the R&D teams driving the core technical thrusts-hardware, control systems, software stack, and error Synthesize information across workstreams, track progress toward technical milestones, manage cross-team dependencies, and ensure alignment between research activities and program goals. - [Product & Service Delivery] Collaborate with the product management function-to be matured as the system matures-on translating R&D capabilities into a defined product (system specifications, service model, user interface requirements, and launch criteria) and building the operational foundations for launching as a quantum computing service

eCommerce Solution Specialist (eCommerce) US - HQ (US001) | Country United States | State California | City San Jose Job Req ID: 28821 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: This position provides direct customer support through live chat, email, and other support channels for Supermicro eStore customers. The role is responsible for ensuring a positive user experience and high levels of customer satisfaction. Strong communication skills-both written and verbal-are essential. Supermicro offers robust, high-performance server system solutions, and its eCommerce platform is designed to highlight these products along with key components and support. The Supermicro eStore serves as a primary destination for learning about the company's innovations and purchasing products online. We are seeking talented, patient, and customer-focused individuals to join the eStore team. Essential Duties and Responsibilities: Supports Supermicro eStore system, including live chat, email, or any customer support to Supermicro eStore customers Acts as the product expert, with deep technical

Quantum Applications Scientist Harwell, England, UK Summary QuEra Computing UK is seeking a talented, impact-motivated theoretical researcher with strong expertise in quantum computing applications. You will be a part of the team aiming to co-design novel quantum simulation applications for QuEra's neutral-atom hardware. Working individually and as part of a team, you will interact with academic collaborators, clients, business partners, and other users of quantum computing to address fascinating challenges, from the inclusion of near-term error correction approaches in quantum simulation algorithms to the design of new application pipelines, for example in quantum materials simulation , quantum chemistry or nuclear physics. Qualifications - Ph.D. degree in physics, computer science, or a related discipline, or equivalent professional experience, - A strong background in quantum computing and/or quantum algorithms, including - expertise in quantum simulation applications, preferably in condensed matter physics, quantum materials, nuclear physics and/or quantum chemistry, - expertise in using and/or developing numerical simulation techniques of many-body systems and/or quantum circuits, for example using Pauli propagation, Clifford simulation, tensor networks (MPS, DMRG, etc.), exact diagonalisation, sparse matrix methods, density-functional theory, coupled-cluster + extensions, DMFT - experience in using quantum circuit programming and compilation, for example using Cirq, Qiskit, Tket, CUDA-Q - An exceptional publication record in relevant fields, - Ability to collaborate effectively in cross-functional teams Preferred Qualifications - Knowledge of quantum error correction schemes and quantum simulation in the fault-tolerant era, - Experience translating theoretical ideas and protocols to quantum computing hardware, and - Experience working with or knowledge

Internship - Research & Development Boston, MA, USA Summary The individual in this internship role will contribute to the advancement of neutral-atom based quantum computing technologies. You will be involved in the design, implementation, and characterization of neutral-atom quantum computing systems, and collaborate closely with a multidisciplinary team of physicists, engineers, and computer scientists to push the boundaries of quantum computing using neutral-atom platforms. Responsibilities - Assist in the design and build state-of-the-art neutral atom quantum computers as directed by your mentor(s). - Collaborate with engineering teams to verify and validate modules and subsystems for neutral atom quantum computers. - Investigate sources of noise and decoherence and contribute to proposed mitigation strategies. - Assist in experimental setups related to neutral atom quantum computing, which may include working with optical components, lasers, and atom trapping systems. - Analyze experimental data using the Python scientific stack to provide insights and feedback for continuous improvement in our quantum computing applications. Qualifications - Pursuing a degree in physics, computer science, mathematics, or a related field. - Strong physics background and experience in optics. - Programming skills in Python, including the Python scientific stack (PyTorch, NumPy, SciPy, Pandas) are plus but not required. - Excellent problem-solving and analytical skills. - Strong communication and teamwork skills. On-site internship. There is no relocation offered for this role. QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do

Associate, Quality Services, SW Device Services & Operation Chennai, Tamil Nadu, IND Quality Services (QS) organization provides testing support for Devices, Retail and AWS products. The primary objective of QS organization is to provide manual testing support. An Associate, Quality Services performs manual test execution of documented task instructions. They produce accurate test results meeting daily targets, adhering to defined processes. Roles & Responsibilities: - Gain understanding of the application test procedures and how to use applicable software and tools. - Execute test instructions and report test results accurately and promptly. - Report any deviations observed. - Understand any changes in test instructions related to their assigned work. - Follow defined processes to perform assigned work. Key job responsibilities - Gain understanding of the application test procedures and how to use applicable software and tools. - Execute test instructions and report test results accurately and promptly. - Report any deviations observed. - Understand any changes in test instructions related to their assigned work. - Follow defined processes to perform assigned work. About the team “Quality Services (QS) is 1000+ member organization providing manual test services for a wide range of Amazon products and operates out of Chennai, India and Arlington, VA. Test services include regression testing, new feature testing, accessibility testing using diversity workforce, localisation testing to support international marketplace testing and interoperability testing across 1P / 3P devices for services. We support a total of 65+ product teams including Amazon Devices (Alexa Devices, Health & Wellness, Ring etc…), Consumer

Manufacturing Engineer Boston, MA, USA Manufacturing Engineer QuEra is seeking a hands-on, detail-oriented Manufacturing Engineer to join our growing team building next-generation neutral atom quantum computers. This person will work collaboratively to support the development and production release of components and assemblies used to build QuEra's neutral atom quantum computers. This role is ideal for someone who thrives in fast-paced product development environments, enjoys building scalable manufacturing processes and systems, and has strong experience supporting New Product Introduction (NPI) and contract manufacturing partners. The Manufacturing Engineer will play a key role in developing manufacturing documentation, product structures, assembly and test procedures, and ensuring smooth technology transfer into production. This person will also own and maintain the manufacturing release process and associated documentation systems used to communicate with suppliers and contract manufacturers. Key Responsibilities - Develop and maintain product structures, including multi-level Bills of Materials (BOMs) for electro-mechanical and opto-mechanical assemblies - Create, document, and release manufacturing assembly procedures, work instructions, and test procedures - Create and maintain documentation packages used by manufacturing partners, and ensure that suppliers have the current released documentation packages - Support New Product Introduction (NPI) activities from prototype through production ramp - Contribute to design for manufacturing/assembly (DFM/DFA) reviews - Lead or support technology transfer activities to contract manufacturing (CM) partners - Collaborate closely with design engineering, supply chain and manufacturing partners to ensure manufacturability and smooth product release - Manage engineering change orders (ECOs) and documentation release processes - Coordinate builds at external manufacturing sites

Manager, Business Operations Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role This role is a high-leverage seat in that build and a deliberate apprenticeship into operating leadership. You will create the business operations, analytics, and execution system that keeps decision-ready insight flowing as the company scales. You will be embedded with operators, turning messy operational reality into durable processes, clear metrics, and repeatable operating rhythms. You will report to the Head of FP&A and work in close partnership with the COO and operations leadership. Why now Cerebras is scaling to meet accelerating demand for fast

Sr Technical Product Manager - Gemini Boston, MA, USA Job Title: Senior Technical Product Manager - quantum computing services Job Type: Full-time Job Location: Boston, MA Reports to: Vice President of Quantum Computing Services Summary QuEra is seeking a Senior Technical Product Manager to join the Quantum Computing Services team at our Boston headquarters. You will play a foundational role in shaping the company's product strategy and processes and taking responsibility for the success of our products and services. The team's mission is to transform neutral atom quantum computing technology into products and services offering cutting-edge quantum computing functionality, delivered both via the cloud and as managed on-premise solutions, and interfaced by users via a variety of in-house and third-party software. As the Senior TPM, you will partner closely with scientists, engineers, executives, and customers to define, communicate, and deliver the roadmap for quantum computing products and services. You will gather and synthesize both functional and non-functional requirements from customers, translating them into a clear and actionable product roadmap. Working closely with cross-functional teams, you will ensure that development efforts are both feasible and timely, delivering solutions that meet customer needs. In addition, you will drive project and program management activities to align with key milestones, ensuring execution stays on track and goals are achieved. In-depth exploration and a solid grasp of application algorithms for NISQ and early FTQC will be essential in shaping product features and roadmap priorities. This role calls for comprehensive technical expertise across the quantum computing

Security SWE Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a frontend engineer on our AI cloud, you will work on our customer-facing inference, training, and admin consoles and API experiences. In this role, you will be responsible for designing and building responsive, user-friendly frontend interfaces that provide an optimal experience for our developers, handling high traffic and throughput efficiently. Your familiarity with the latest web development frameworks and best practices, coupled with a keen eye for design and user experience, will drive team success. We're looking for talented software engineers

Electrical Manufacturing Engineer Boston, MA, USA Electrical Manufacturing Engineer Boston, MA USA Electrical Engineer Position Overview QuEra is seeking an Electrical Engineer with expertise and experience in manufacturing to join our growing team building next-generation neutral atom quantum computers. This individual will work collaboratively with other engineers and the supply chain team to facilitate smooth new product introductions (NPIs) by ensuring documentation packages are accurate, complete and ready to transfer to suppliers and contract manufacturing partners. You will bridge the gap between design engineering and fabrication, ensuring that technical specifications and production requirements are properly communicated to vendors. The ideal candidate will have a foundation in electrical design principles, proficiency with PCB CAD software (Altium preferred), strong experience in design for manufacturing and assembly (DFM/DFA), knowledge of GD&T, and experience working with PCB fabrication houses (foreign and domestic) and contract manufacturers. Key Responsibilities - Ensure documentation packages are accurate, complete and ready to transfer to suppliers and contract manufacturing partners - Update existing designs and drawings, conduct design for manufacturing/assembly (DFM/DFA) reviews, and maintain documentation for customized products - Author and maintain assembly and inspection procedures related to the manufacture of analog/RF electrical, power electrical, electro-mechanical modules and sub-assemblies - Maintain and categorize Corporate Altium Part Managed Library. Create new footprints/symbols for new parts (Parts Librarian). - Change management and product structure management within CAD and product lifecycle management (PLM) tools - Maintain QuEra's technical drawing standards and support the design engineering team to execute changes to drawings as required

Business Analyst Manila, Philippines AvePoint is the global leader in data protection, unifying data security, governance, and resilience to provide a trusted foundation for AI. More than 28,000 customers rely on the AvePoint Confidence Platform to secure, govern, and rapidly recover data across Microsoft, Google, Salesforce, and other cloud environments. With a single platform for lifecycle control, multicloud governance, and rapid recovery paired with clear ownership across the business, we prevent overexposure and sprawl, modernize legacy and fragmented data, and minimize data loss and interruption. Our global partner ecosystem includes approximately 6,000 MSPs, VARs, and SI, and our solutions are available in over 100 cloud marketplaces. To learn more, visit www.avepoint.com . At AvePoint, we are committed to investing in our people. Agility, passion and teamwork set us up to do our best work and foster a culture where you are empowered to craft your career, make an impact, and own (y)our future. Unleash the power of you! About the role: As a Business Analyst on our modernization engagement, you will translate legacy JSF/Java-Bean applications into a modern React single-page application with Java APIs. You'll perform bottom-up code analysis, extract and document business logic and workflows, and partner with both technical teams and clients to validate requirements, drive design decisions, and support test planning and execution. This is a full-time position under AvePoint as your employer. The role will be client‑facing , working directly with one of AvePoint's clients. It follows a full onsite work setup , requiring on‑site presence

Optical Scientist - R&D Boston, MA USA Summary QuEra Computing is pioneering the future of quantum computing technology. We are seeking an Optical Scientist to join our growing team and help create the world's largest and first commercially relevant quantum computing platform. You will work closely with a world-class team of scientists, engineers, and developers to build and advance the most powerful neutral-atom quantum computers in the world. This is a hands-on experimental role at the intersection of atomic, molecular, and optical (AMO) physics and cutting-edge quantum hardware development. Responsibilities - Design, prototype, and deploy opto-mechanical systems for next-generation quantum computing platforms, with a focus on hands-on experimental implementation in a lab environment. - Characterize, optimize, and troubleshoot precision laser and imaging optical systems, ensuring performance meets the demanding requirements of neutral-atom quantum processors. - Improve the performance, and operability of existing proof-of-concept quantum computing machines. - Collaborate with scientists and engineers across disciplines to develop and refine new experimental concepts and optical architectures. - Contribute to the development of experimental procedures, documentation, and best practices to support reliable and repeatable system performance. Qualifications - Ph.D. in Atomic, Molecular, and Optical (AMO) Physics or a closely related field. - 3-6 years of hands-on experimental experience in precision optical systems, opto-mechanical design, or laser systems, including industry or postdoctoral experience. - Strong practical skills with precision laser systems, optical components, and imaging systems in a lab setting. - A collaborative mindset and enthusiasm for working in highly interdisciplinary teams. Preferred Qualifications

Business Operations Lead, Datacenters Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role This is a high-leverage business operations role embedded in the Datacenter organization. You will partner directly with 5-10 senior leaders to build the operating system that keeps the organization aligned, decision-ready, and executing at speed. The job sits at the intersection of planning, operating cadence, communications, and execution. You will turn complex, fast-moving work into clear priorities, durable mechanisms, and actionable insight. This is not a staff role from the sidelines-you will be in the middle of the work, helping leaders drive performance,

Optical Scientist – Quantum Systems Boston, MA USA Summary In this role, you will contribute to the advancement of neutral-atom-based quantum computing technologies by architecting , prototyping and integrating optical subsystems into QuEra's next-generation quantum computers . These subsystems rely on diffractive optics, holography, optical tiling strategies, aberration correction, and camera-in-loop feedback to deliver stable, uniform, and precisely controlled optical fields across large qubit arrays . As part of an R&D team , you will collaborate closely with a multidisciplinary group of physicists, engineers, and computer scientists to push the boundaries of quantum computing using neutral-atom platforms by helping shape long-term optical system design decisions . Responsibilities - Design and prototype scalable optical architectures for trapping, addressing, and readout of next-generation neutral atom qubit arrays. - Model optical systems including diffraction, aberrations, polarization effects, and alignment sensitivities. - Establish integration strategies of new optical modules to optimize performance of neutral atom quantum computers. - Implement diagnostic and calibration strategies linking optical design to experimental outcomes, enabling rapid commissioning and long-term stability. - Partner with hardware engineering team to translate architectural concepts into deployable hardware and alignment procedures. - Evaluate emerging beam-shaping and multiplexing technologies for next-generation scalability. - Stay current with the latest advancements in optical engineering, beam shaping, and optical computing relevant to neutral atom quantum computing. Qualifications - Ph.D. or equivalent experience in Optics, Physics, or a related field with a strong background in optical system design and implementation. - Hands-on laboratory experience with free-space optical alignment, diagnostics,

QA Automation Engineer Bengaluru, India About Dialpad Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time. More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights. We're now leading the shift to Agentic AI: intelligent agents that don't just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do. Visit dialpad.com to learn more. Being a Dialer At Dialpad, AI isn't just a feature; it's how our teams do their best work every day. We put powerful AI tools in every employee's hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we've built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role Dialpad's QA team ensures the quality and reliability of our AI-first platform across web, mobile, and backend systems. As

Head of IT Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role We are hiring a Head of IT to build and run the internal technology backbone of a company that is scaling quickly and operating at the edge of AI hardware and software. This is not a steady-state IT leadership job, It is a build-and-scale role for someone who thrives when the ground is moving. You will own the systems that Cerebras employees, contractors, and executives rely on every day: laptops, identity, SaaS, networking, collaboration, endpoint security, internal support, and the IT controls that a

Senior Mechanical Engineer Boston, MA, USA QuEra is seeking a Sr Mechanical Engineer to join our growing Engineering team building next-generation neutral atom quantum computers. This individual will work alongside other engineers and physicists to design, develop, document and test mechanical systems and components. The ideal candidate will have a strong foundation in mechanical design principles, experience with a 3D modeling tool (Autodesk Inventor preferred), to design with forethought towards manufacturing and assembly (DfM/DfA), knowledge of GD&T, and experience working with machine shops and contract manufacturers. Key Responsibilities : - During the testing and development phases, helping to identify issues, recommend potential solution options and tradeoffs, communicate and review the issues and solutions with the US team, and implement solutions. - Help with inspection, assembly, and installation of quantum computer modules - Create detailed 3D CAD models and 2D drawings using Autodesk Inventor - Specify, design, procure, and prepare prototypes and assist with product testing and validation - Work with cross-functional and interdisciplinary teams to ensure designs meet performance and manufacturability requirements - Support the creation of technical documentation, including design requirements and specifications, drawings, and assembly instructions, and test reports - Contribute to the culture of following engineering best practices Other Responsibilities : - Support design, procurement, and assembly of parts and enclosures by third party vendors - Incoming part acceptance inspection - General technical tasks such as wiring, assembling, cleaning, etc. (We are a start up!) Qualifications : - Bachelor's degree in Mechanical Engineering or a related field

Compute Server Platform Architect Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a Compute / Server Platform Architect on the Cluster Architecture Team, you will own the server-side platform architecture that enables Cerebras CS3-based AI clusters (training and inference) to deliver predictable performance, scalability, and reliability. Our accelerators are network-attached, so the x86 server fleet is a first-class part of the end-to-end system: it runs critical-path runtime functions (for example orchestration, prompt caching, and IO/control services) and must be co-designed with software for token-level latency, throughput, and cost efficiency. You will

Security & IT General Opportunities Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Team Our IT & Security team sits at the intersection of security, infrastructure, and cutting-edge AI systems. The team plays a critical role in ensuring Cerebras' environments are secure, reliable, scalable, and ready to support customers operating at the frontier of AI. We are looking for people who care deeply about operational excellence, security best practices, automation, and building systems that can support a rapidly growing organization. What You May Work On Depending on the role and team needs, you

Laser Systems Engineer Boston, MA, USA Summary Laser Systems is QuEra's laser infrastructure program, owning the full lifecycle of QPU laser systems - architect, design, build, integrate, and sustain - across all machine generations and global sites spanning the US, Japan, and the UK. The team also owns fleet-level infrastructure for management of laser systems at scale. We are seeking a Laser Systems Engineer to join this team in Boston. Depending on focus area, the role may sit in platform development and R&D, system integration and deployment, or operational reliability - or span all three. In all cases, you will work directly with the laser systems that power our neutral atom QPUs across multiple active laser families, collaborate across internal teams and with external co-development partners, and contribute to a program that is central to QuEra's technical roadmap. Responsibilities Depending on focus area, responsibilities may include: - Laser Platform Development & R&D - Design and develop infrastructure-grade laser systems built for repeatability, modularity, and field serviceability - programmable optical engines with calibration-friendly architectures, integrated modulators, co-packaging approaches, and well-defined interfaces compatible with automated control and monitoring infrastructure - Evaluate emerging laser technologies and co-development partner systems for technical performance, integration readiness, and long-term scalability - System Integration & Deployment - Contribute to architecting the hosting infrastructure for quantum laser systems - meeting stringent requirements for vibration isolation, thermal stability, noise, and QPU integrability - and own build, integration, and validation across optical, electrical, and mechanical interface standards - Own physical

Senior Quality Engineer Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role: We are looking for a hands-on Senior Quality Engineer to drive manufacturing quality for printed circuit board assemblies (PCBAs), subassemblies, and system-level products across our contract manufacturers and suppliers. This role is responsible for ensuring robust manufacturing processes, superior workmanship, high production yields, and effective corrective actions throughout the product lifecycle. The ideal candidate brings deep expertise in SMT manufacturing, IPC standards, electronics assembly processes, and statistical quality methods. Working closely with Manufacturing Engineering, Supplier Quality, Reliability Engineering, Design Engineering, and contract manufacturers, you

AI Engineer, Model Quality and Performance Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role You'll own model quality and performance for Cerebras' inference offerings. You will define what "good" looks like across the models we serve, building AI-driven systems to measure it at scale, and translating those signals into artifacts our customers and product team actually use. You'll use AI agents to spin up custom eval suites per customer use case, mine trajectories for representative test data, automate the repetitive parts of release qual, and help build performance datasets and benchmarking workflows for customer use

Quantum Scientist - AMO Theory and Device Modeling Boston, MA, USA Summary QuEra Computing is seeking a talented and innovative theorist with a strong background in theoretical atomic, molecular, and optical (AMO) physics and quantum information science to support the modeling and architecture development of our digital neutral-atom quantum computers. In this role, you will develop detailed physics-based models of key sub-components that constitute a neutral atom quantum computer, to characterize and enhance their performance. You will work closely with experimental teams to validate and refine models, define technical requirements and operating regimes, and guide experimental progress. You will also collaborate with compiler, applications, and QEC teams to ensure that low-level control abstractions and interfaces are aligned with algorithmic and architectural requirements. You will be expected to independently drive modeling efforts and translate theoretical insights into concrete guidance for experiments and architecture decisions. Qualifications - PhD in theoretical atomic, molecular, and optical (AMO) physics or a closely related field. - Experience modeling AMO experiments, including realistic multi-level atomic structure calculations, light-matter interactions, and Rydberg physics. - Demonstrated ability to collaborate productively with experimental AMO or quantum hardware groups. - Strong publication record in AMO physics or other relevant areas of quantum science. - Basic knowledge of quantum error correction methods and quantum algorithms. - Proficiency in Python and/or Julia for scientific modeling and simulation. Preferred Qualifications - Experience modeling noise sources, imperfections, and decoherence in neutral-atom platforms. - Hands-on experience with open quantum systems simulations. - Experience with pulse-level control,

Senior ML Systems Engineer Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role We are seeking a versatile and experienced engineer to join our SOTA Training Platform team. This team is responsible to rapidly bring up state-of-the-art open-source models (like LLaMA, Qwen, etc) or customer-provided proprietary models on our Cerebras CSX systems. Success in this role requires a system-minded generalist who thrives in fast-paced bringup environments and is comfortable working across the entire Cerebras software stack. Your work will play a critical role in achieving unprecedented levels of performance, efficiency, and scalability for