Strong Compute jobs

C++ Quantitative Developer, Algorithmic Execution New York WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: The Quantitative Execution Services team is seeking an Execution Algorithm Developer to further improve the architecture of WorldQuant's execution platform across a variety of cash and derivative products. You will be responsible for leading, building and maintaining the algorithm and SOR frameworks, including the short-term predictive models that drive our investment process on our innovative infrastructure with the goal of optimizing trading efficiency. What You'll Bring: - Excellent C++ skills on a Linux platform, preferably with experience in low-latency programming - Experience in designing, implementing electronic algorithmic trading system, for purpose such as execution,

Senior Applied Scientist (Computer Vision), Camera and Sensors Cambridge, England, GBR The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices. Key job responsibilities As an Applied Scientist with the Camera and Sensors team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal models with an emphasis on computer vision. Your work will directly impact our customers in the form of products and services that make use of Computer Vision technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances for Amazon devices. A day in the life An Applied Scientist with the Camera and Sensors team you will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into practice. About the team You will work with a team of applied scientists and software engineers locally in Cambridge, along with a broader team of principle scientists, applied scientists and software engineers across multiple global teams in the devices group. Basic Qualifications: - Experience with neural deep learning methods and machine learning

Design Validation Test - Lead/Principal 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. Role Summary We are seeking a hands‑on DVT Technical Lead (Individual Contributor) to own and drive the Design Validation Test (DVT) process end‑to‑end across complex electrical engineering boards and full systems. You will define validation strategy, build test plans and infrastructure, lead deep debug and root‑cause analysis (RCA), and drive closure through design changes and re‑test. The domain includes difficult power delivery technology, fast high‑speed I/O, and electro‑mechanical systems with thermal, optics, and high‑power constraints. People management is not required (mentoring is a plus).

Computer Vision and Inertial Sensing Engineer Sunnyvale, United States of America The Video Computer Vision organization is working on exciting technologies for current, such as the Apple Vision Pro, and future Apple products. We are looking for highly skilled and passionate engineers to address challenging problems at the boundaries of human perception and machine intelligence. In this role, you will collaborate closely with experts from a wide range of backgrounds whose creativity and passion has already led to the development of groundbreaking algorithms and whose ongoing designs and explorations will shape the future of mixed reality redefining the way we interact with the physical and digital world. You will create computer vision algorithms and deliver technologies with applications to augmented reality and device localization that are impactful, meaningful, and influential. We work closely with Apple's best-in-class designers to ensure the products we ship are more than technical demos - they resonate with users at a personal level. In this role you will be working on a wide range of responsibilities: core technology algorithm development in support of future user experiences; communicating with and supporting external teams that use our algorithms; supporting low-level, cross-platform efforts; participating in code reviews; and being a constant advocate within the team for high quality results. Minimum Qualifications: BS and a minimum of 3 years relevant industry experience. Strong software engineering skills and programming in C++. Familiarity with classical and machine learning based computer vision. Preferred Qualifications: MS or PhD in computer vision, machine learning, robotics,

Senior DL Algorithms Engineer - Inference Performance 2 Locations posted: Posted 30+ Days Ago

Computational Scientist II United States Overview The Computational Scientist II envisions, designs, builds, validates, and launches new genomic products and product features that directly improve patients' lives. Responsibility Author optimized and reliable analysis pipelines applied to samples. Rigorously analyze a variety of big datasets to gain actionable insights launched into the lab. Amplify the productivity of the entire R&D team by creating time-saving software tools and environments. Work on collaborative teams with experimental scientists, software engineers, automation engineers, and data scientists. Communicate results internally to key stakeholders and externally at conferences and in peer-reviewed literature. Qualifications PhD (or master's degree with relevant experience) in bioinformatics, computational biology, computer science, biophysics, physics, statistics, molecular biology, genetics, or related discipline required. Conversant in molecular biology and genetics. Exceptional software skills, preferably with fluency in Python. Impeccable integrity and palpable drive, with the competency to be self-sufficient and a strong desire to be part of a supportive team. Experience with Next Generation Sequencing preferred. Applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder) living full time in the USA We take geographic location into account when determining base salary to ensure equitable and competitive compensation. #LI-KO1 Computational Scientist II

Applied Scientist, Materials Characterization and Simulations, Amazon Center for Quantum Computing Pasadena, California, USA The Amazon Center for Quantum Computing in Pasadena, CA, is looking to hire an Applied Scientist on the Materials team, focused on understanding and mitigating materials-driven loss mechanisms in superconducting quantum processors. You will join a multi-disciplinary team of theoretical and experimental physicists, materials scientists, and hardware and software engineers working at the forefront of quantum computing. You should have deep expertise in materials characterization and computational modeling of disordered solids, with the ability to connect atomic-scale insights to materials design. Candidates with a track record of original scientific contributions in experimental and computational studies of materials defects will be preferred. We are looking for candidates with strong scientific and engineering principles, resourcefulness and a bias for action, superior problem solving, and excellent communication skills. As an Applied Scientist at CQC, you will be expected to drive materials research from characterization through design recommendations and stay abreast of advances in materials science for superconducting quantum hardware. Key job responsibilities You will combine materials characterization and numerical simulations to investigate how material defects affect qubit performance. This includes implementing multi-technique characterization workflows for thin films and interfaces, providing input on the design of materials with targeted properties, and developing computational tools for simulations of disordered structures. You will provide characterization support for the Fabrication team, investigating materials sources of loss in production-relevant films and processes. You will coordinate with cross-functional teams to translate materials insights into actionable

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

Manufacturing Bring-up Engineer L2 Bengaluru, Karnataka, India; Sunnyvale, CA; Toronto, Ontario, 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. The Role We are seeking a highly skilled and motivated Manufacturing Bring-up Engineer to join our team. As the Manufacturing Bring-up Engineer you will support our system level bring-up process execution, implementation, and evolution in the manufacturing pipeline. This is a high visibility role that requires strong technical expertise, coordination, and collaboration to deliver our product from manufacturing to the customer. Responsibilities - Support the Cerebras manufacturing bring-up process execution to configure, test, and validate system performance prior to customer

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

Founding Research Engineer, AI-Driven Compilation San Francisco | OnSite ABOUT SF TENSOR At The San Francisco Tensor Company, we believe the future of AI and high-performance computing depends on rethinking the entire software and infrastructure stack. Today's developers face bottlenecks across hardware, cloud, and code optimization that slow progress before ideas can reach their full potential. Our mission is to remove those barriers and make compute faster, cheaper, and universally portable. We are building a Kernel Optimizer that automatically transforms code into its most efficient form, combined with Tensor Cloud for adaptive, cross-cloud compute and Emma Lang, a new programming language for high-performance, hardware-aware computation. Together, these technologies reinvent the foundations of AI and HPC. SF Tensor is proudly backed by Susa Ventures and Y Combinator, as well as a group of angels including Max Mullen and Paul Graham as well as founders and executives of NeuraLink, Notion and AMD. We are partnering with researchers, engineers, and organizations who share our belief that the next breakthroughs in AI require breakthroughs in compute. ABOUT THE ROLE We're building a next-generation AI compiler that uses machine learning to optimize machine learning. As a Founding Research Engineer focused on AI-driven compilation, you'll develop the agentic and reinforcement learning systems that guide our compiler's optimization decisions. This is a research-heavy role right at the intersection of compilers and ML. You'll design learned systems that can explore huge optimization spaces, discover new code transformations, and keep improving compilation quality over time. WHAT YOU'LL DO -

IT Specialist Tel Aviv-Yafo, Gush Dan, Israel We offer the industry's only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention. We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc. About the Role: The IT Specialist is responsible for analyzing, diagnosing, and repairing end user issues pertaining to their daily job duties. Managing and resolving service request tickets on a daily basis. This individual is responsible for providing high quality technical assistance and support related to the company's computer systems, software, and hardware. This position is directly responsible for interaction with end users and their machines on a daily basis. What you'll do: - Assisting employees (end users) with the MacOS desktop systems - Strong knowledge of Windows / macOS environments - Initial IT orientation of new employees during their “sign-in” process - Providing computer support services for software and hardware within established company standards and guidelines - Testing of computers to ensure all computer systems are functioning properly - Identifying and solving any problems that affect computer operating systems - Communicating effectively with the individual end users on issues that pertain to their machines - Maintenance and upgrading of computer systems , including offering recommendations on upgrades on an as-needed basis - Assistance in implementing IT related company initiatives as provided by IT leadership - Maintaining computer peripheral devices such as printers and scanners and solving the related

Member of Technical Staff (Software 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. Cerebras Systems Inc. has multiple openings for Member of Technical Staff (Software Engineer) Title : Member of Technical Staff (Software Engineer) Job Duties - Implement infrastructure to support high-performance, low-latency inference service. - Deploy and configure Kubernetes services to ensure scalability and reliability of inference workloads. - Optimize resource allocation and auto-scaling policies to handle variable inference demand while minimizing operational costs. - Integrate inference services with containerized environments using Docker and Kubernetes for orchestration. - Ensure high availability and fault tolerance by implementing

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,

Coordinator Data Process Support Ipil, Philippines What success looks like in this role: • Gathers data for various reports required by accounting and management or for engineering/scientific applications • Compiles programs for programmers as required. • Organizes the input and output of data from the computer. • Investigates and locates source of non-standard irregularities; analyze and recover program operations in complex error situations. • Assists in the maintenance and inventory control of computer equipment. • Complies with computer operation standards and procedures. • Provides point-of contact for computer users and informal training to new account users. You will be successful in this role if you have: • Minimum educational requirement highschool or senior highschool graduate • Equivalent of 6 months to 1 year experience in the operation of key data entry/verifier machines such experience may be in a trainee capacity • With 0 to 6 months experience in customer service • Knowledge of Word processing software, Spreadsheet software, Database software • Proficient in data entry with a high level of accuracy and attention to detail • Demonstrated ability to learn and utilize technical information and procedures • Strong verbal and written communication skills • Ability to learn, retain, and apply information quickly in a changing production environment • Demonstrated time management, organization and prioritization skills • Ability to work independently and as a member of a team • Ability to read and write at a level appropriate to the duties of the position, and perform arithmetic computations where required. •

Head of Supercomputing San Jose, CA, United States About Etched Etched is building the world's first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Etched is building at-scale AI inference supercomputers powered by our custom ASICs, and the Supercomputing organization is responsible for making them real, deployable, and reliable. We are seeking a Head of Supercomputing to define and lead the architecture, software stack, and operational model for Etched's cluster-scale AI compute systems. This leader will own the end-to-end system software and control-plane strategy - spanning orchestration, telemetry, provisioning, networking, and fleet reliability - from first silicon through production deployment. This role combines deep systems expertise with strong organizational leadership. You will build and lead a world-class team, partnering closely with ASIC, hardware, kernel, runtime, and infrastructure teams to deliver the highest-performance AI inference systems in the world. Key Responsibilities - Define and drive the technical vision and roadmap for Etched's Supercomputing software stack, from node bring-up to multi-rack clusters - Build, scale, and lead a high-performance Supercomputing organization - Directly manage and develop 15+ engineers with a variety of experience levels -

Data Entry Clerk Boston, MA, United States Company Description: Job Description: This is a contract position with a slight possibility of becoming permanent Candidates will be required to pass a data-entry speed test to be considered. Must be able to pass drug and background check. TASKS AND RESPONSIBILITIES: Review corporate contracts; Accurately identify contract terms, including year of execution, parties, corporate entities, etc.; Enter contract terms into master tracking matrices; Scan and catalogue hardcopies of contracts to create electronic copies as needed; and Other duties as assigned. OTHER RESPONSIBILITIES: Data entry and verification including both alphanumeric and 10-key entry Create mail address endorsements Compose emails to clients Advise Supervisor and/or Manager of missing contracts, missing signatures, incomplete documents, etc.; and Track productivity and number of completed contracts. Qualifications: High school diploma; Strong oral, written, and interpersonal communication skills; “Tech-savvy” with strong computer skills, including ability to navigate Windows-based PCs; Understanding of basic Microsoft office applications; Basic to intermediate skills in Microsoft Excel, including ability to navigate, filter, sort, and accurately add entries to spreadsheets. Additional Information: All your information will be kept KNOWLEDGE/SKILLS/ABILITIES: Ability to self-manage and work independently on completion of training; Ability to communicate effectively through electronic means including IM, web-based meetings, and telephone; Fast learner; Strong computer skills, including Microsoft office suite (Outlook, Word, Excel); Strong ethics, integrity, and accountability; Strong organizational skills and attention to detail; and Ability to work quickly and accurately. None. TRAVEL: Standard office environment. confidential according to EEO guidelines. Benefits: Health, Dental,

IT SRE Team Lead 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 seeking an experienced IT SRE Team Lead to build and run the reliability function for Cerebras' internal technology estate. The IT SRE Team Lead will be responsible for the availability, performance, and operational quality of the systems Cerebras employees rely on every day, including identity, endpoint management, collaboration, SaaS, and internal networking. The right candidate will bring a software engineering mindset to IT operations, treating corporate infrastructure as code, with measurable SLOs, automated remediation, and a ruthless focus on eliminating toil.

Full-Stack Software Engineer, Compute Foundations San Francisco, California, United States About the Team The Frontier Clusters team at OpenAI builds, launches, and supports the largest supercomputers in the world! Our mission is to make them work for frontier model training. We bring new clusters online, scale them to larger and larger training runs, improve cluster availability, and work with researchers to understand and fix the issues that keep jobs from running reliably. That means debugging issues across hardware and software, building the tools needed to operate these systems, and working closely with researchers to make frontier training reliable. About the Role You will build web-based tools that help answer critical questions about our supercomputing clusters: Why is this training job down? What is preventing these nodes from being ready? Where are we losing usable capacity, and what should we fix first? How can agents help us solve this problem? You will work closely with researchers and infrastructure teams to identify the highest-leverage problems in cluster operations, then design and build solutions. That could mean improving cluster availability, giving users and operators better insight into job failures and performance, or building workflows that make scheduling, debugging, and resource management more effective at massive scale. This is an opportunity to work at the cutting edge of AI infrastructure, turning complex operational problems across some of the world's largest supercomputers into clear, reliable, and scalable systems. In this role, you will: - Build full-stack web applications that help researchers and operators understand cluster

Quantum Calibration Engineer, Quantum Computing Services Boston, MA, USA Quantum Calibration Engineer, Quantum Computing Services Summary: QuEra is seeking Quantum Calibration Engineers to join a growing effort focused on developing, testing and deploying calibration and performance characterization software on QuEra's neutral-atom quantum computers, translating experimental physics and data analysis into automation. This is a critical effort towards achieving programmability, reliability and peak performance of these machines for research, application development and commercial uses. Your work will directly shape how QuEra's quantum computers are characterized, stabilized, and improved over time, laying the foundation for scalable, self-calibrating quantum platforms. In this role, you will work closely with physicists, software engineers, hardware specialists and actual quantum computers across QuEra's global sites. You will be responsible for designing efficient measurements of key system parameters, developing robust data-analysis pipelines, and building tools that translate raw experimental results into actionable insights for machine optimization. This role is part of QuEra's Quantum Computing Services team and is based at QuEra's Boston headquarters. The team's mission is to develop QuEra's neutral-atom technology into cutting-edge quantum computing products and services. Core Responsibilities - Design data-efficient experimental routines, robust data analyses and troubleshooting workflows to extract key system parameters and insights. - Develop, refine, and maintain calibration pipelines consisting of complex data flows. - Develop robust data-fitting and optimization routines. - Validate, document and track calibration results, ensuring reproducibility and traceability across different hardware and software generations, and across machine deployments. Qualifications Required - Strong proficiency in Python, including experience

3D Physical Design 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 As a member of our tight knit physical design team, you will be working on the design and analysis of 3D integrated products. This role involves a combination of traditional ASIC/SoC physical design skills, packaging, power, clock and cooling analysis. You will work closely with the architecture and RTL team to do R&D on novel concepts for 3D integration. Skills and Qualifications Required - 10+ years of physical design/verification experience. - Strong knowledge of block level and full-chip physical verification methodology. - Expert

Personal Insurance Administrator Winnipeg, Manitoba, Canada Embrace the role of a Personal Insurance Administrator and play a key role in managing policy documentation and supporting clients. If you have strong attention to detail, advanced computer skills, and a passion for client service, this is your opportunity to grow in a dynamic, supportive environment. Apply now to make an impact!

Principal Machine Learning Engineer, Accelerated Apache Spark US, CA, Santa Clara posted: Posted 22 Days Ago

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,