Strong Compute jobs

Senior Principal Research Scientist, Computational Drug Discovery Optimization Team Lead North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: Purpose: This position brings an opportunity to make innovative contributions that will define how AbbVie leverages AI-enabled drug discovery across our small molecule portfolio. Reports to Head of Computational Drug Discovery (CDD) and will lead the computational Lead Optimization team. Will implement and enable collaborative design between members of the Optimization team and Global Medicinal Chemistry (GMEC) teams. Must possess strong expertise in modern medicinal chemistry, including a deep understanding of modern computational and experimental strategies, property-based drug design, and pharmacology needed to develop low-dose small molecule drug candidates. The ideal candidate will have a strong and established background in drug discovery from exploratory through candidate nomination including an established external footprint, and network as well as a proven track record of successfully leading diverse project teams to identify novel drug candidates. Past experience will have included mentorship of early/mid-career scientists in matrixed and/or direct reporting relationships. Responsibilities: Consult with project team and

Principal Engineer System Compute (f/m/div) Langen (Frankfurt am Main) (Germany)

Senior Solutions Architect, Solutions Architecture Taipei City, TWN Do you like helping hi-tech and semiconductor companies solve their most complex technical challenges? Would you like to do this using the latest cloud computing technologies including GenAI and agentic AI? Do you have a passion for enabling chip designers and product engineers to innovate faster and more efficiently through cloud modernization? AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing accounts to enterprise-level customers. This is an on-site position requiring regular presence at AWS offices and customer locations to deliver hands-on technical engagement and build strong customer relationships. As a Senior Solutions Architect on the Hi-Tech & Semiconductor team, you will have the opportunity to help shape and deliver on a strategy to build mind share and broad use of AWS services - including compute, storage, networking, analytics, AI/ML, Generative AI, and HPC - within hi-tech and semiconductor accounts pursuing cloud modernization and digital transformation. You will be the bridge between our customers' most complex computational challenges and AWS's most advanced cloud infrastructure capabilities. You will own the technical engagement and ultimate success around specific implementation projects, with a strong focus on: Cloud Modernization & Infrastructure Optimization: Helping customers modernize their infrastructure, optimize compute-intensive and memory-intensive workloads, and transition to cloud-native architectures Compute-Intensive Workload Architecture: Architecting scalable solutions for demanding engineering workloads - including frontend design (RTL, synthesis, simulation), backend design (place and route, timing closure, signoff), CAE/CAD product

AI Infrastructure Operations 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 highly skilled and experienced AI Infrastructure Operations Engineer to manage and operate our cutting-edge machine learning compute clusters. These clusters would provide the candidate an opportunity to work with the world's largest computer chip, the Wafer-Scale Engine (WSE), and the systems that harness its unparalleled power. You will play a critical role in ensuring the health, performance, and availability of our infrastructure, maximizing compute capacity, and supporting our growing AI initiatives. This role requires a deep

Associate Inventory Hobart IN We are currently looking for an Inventory Control Associate to work in our Hobart, IN facility. This role will work in partnership with the warehouse operations team to help maintain the accurate tracking of inventory within the entire facility. The ideal candidate will have a strong attention to detail and computer skills.

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

Salesforce Developer – Field Service Lightning Austin, TX, Austin, Texas, United States Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. Job Overview We are seeking a Salesforce Developer with strong experience in Field Service Lightning to build and optimize field service solutions. This role will focus on scheduling, dispatch, and mobile workforce enablement within Salesforce. Responsibilities - Design and develop solutions within Salesforce Field Service Lightning - Customize FSL components including work orders, service appointments, and scheduling - Develop Apex, Lightning components, and automation for FSL use cases - Integrate FSL with other enterprise systems such as ERP and middleware - Collaborate with stakeholders to improve field service processes - Support mobile solutions and offline capabilities - Ensure performance, scalability, and usability of FSL implementations - Troubleshoot and resolve platform issues - Maintain technical documentation and best practices Qualifications - 5 to 8 plus years of Salesforce development experience - Hands-on experience with Salesforce Field Service Lightning - Strong experience with Apex and Lightning components - Understanding of scheduling and field operations workflows - Experience with integrations and APIs - Salesforce FSL certification preferred - Strong problem-solving and collaboration skills - Bachelor's degree in Computer Science or related field Physical Demands - Prolonged periods of sitting at a desk and working on a computer. - Occasional standing and walking within the office. - Manual dexterity to operate a computer keyboard, mouse, and other office

Control Stack Manager, Center for Quantum Computing Pasadena, California, USA The Amazon Center for Quantum Computing (CQC) is a multi-disciplinary team of scientists, engineers, and technicians, on a mission to develop a fault-tolerant quantum computer. We are looking to hire a Control Stack Manager to join our growing software group. You will lead a team of interdisciplinary scientists and software engineers, focused on developing research software and infrastructure to support the development and operation of scalable fault-tolerant quantum computers. You will interface directly with our experimental physics and control hardware teams to develop and drive a vision for the experimental quantum computing software-hardware interface. The ideal candidate will (1) have strong technical breadth across low-level programming, scientific instrumentation, and computer architecture, (2) have excellent communication skills and a proven track record of collaborating with scientists and hardware engineers, and (3) be excited about empowering and growing a team of scientists and software engineers. Inclusive Team Culture Here at Amazon, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path,

Senior ML Software Engineer - Integration & Quality 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 looking for a Software Engineer to join the ML Integration and Quality team at Cerebras. This team sits at the intersection of machine learning infrastructure, distributed systems, and hardware/software co-design. In this role, you will help integrate and validate the software stack that powers the Cerebras AI platform, ensuring large-scale ML workloads run reliably and efficiently across our systems. You will work closely with engineers across runtime, compiler, kernel, and hardware teams to debug

Principal Product Manager - Technical, EC2 Networking, EC2 Networking Seattle, Washington, USA Amazon EC2 (Elastic Compute Cloud) networking is looking for a dynamic and seasoned product leader to help define and build the future of cloud computing for high performance computing. Customers today are rapidly evolving and looking for ways to bring gen AI to their organizations and applications. These customers rely on Amazon EC2 and its network performance to provide elastic, high performance, secure, and cost effective resources to build their infrastructure for this dynamic environment of changing business needs. Within EC2, you will work with a team that defines the strategy and roadmap for delivering this performance, scale and in many cases new features/products to customers. As a member of the broader EC2 Product Management team, you'll join other highly respected product and engineering leaders to create the future of the computing platform. You will be responsible for full lifecycle product management of compute and networking solutions that have an outsized impact on accelerating digital transformation across several customer workloads including AI/ML, core computing, databases, High Performance Computing, and more. This is a unique opportunity to innovate across all layers of the solution stack (ranging from end customer applications all the way down to the core infrastructure including the AWS custom chip Nitro). You will have strong ownership over strategy, product definition, feature prioritization, messaging, pricing, adoption, customer interaction, sales enablement, and team development. This is a high visibility and high impact role that will interact with all

Senior Hardware Technical Program Manager 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. The Role As a Senior Hardware Technical Program Manager at Cerebras, you will spearhead operational excellence for our high-performance AI compute systems and data centers. You will own the end-to-end hardware schedule for design and engineering improvements, report on engineering issues, and define mitigation strategies. You will own the schedule, implementation, and software integration of hardware changes. You will collaborate closely with electrical and system engineering, manufacturing, supply chain, and system software to drive end-to-end schedule of improvements to our wafer-scale engine supercomputers. Your role

Geomechanics Specialist - Computational Geomechanics / Numerical Modeling Alternate Job Posting Location | Job City/State Job Group Capability Subsurface, Subsea, Pipelines & Production Engineering Job Group Geoscience What role you will play in our team We are seeking a motivated and experienced Engineer or Geoscientist with strong expertise in computational modeling, solid mechanics, and finite element methods. This role will support well planning and geomechanical projects in oil & gas applications and CO2 storage, with a focus on solving complex subsurface problems through numerical modeling. What you will do Utilize numerical modeling tools and software to solve subsurface problems involving stresses, pore pressure, and deformations. Develop and implement innovative workflows, tools, and modeling approaches with minimal supervision. Integrate numerical results with experimental geomechanics or field observations to improve prediction and decision‑making. Collaborate across technical disciplines and global teams to deploy solutions into operational workflows. Deliver high‑quality technical reports and presentations to internal and external audiences. About You You bring deep technical skills, creativity, and a passion for numerical problem‑solving. Strong foundation in solid mechanics, finite‑element modeling, and constitutive behavior is essential. Excellent communication, teamwork, and project‑management abilities are expected. Work effectively with diverse, multicultural, geographically distributed teams. Skills & Qualifications Ph.D. or M.S. in Mechanical Engineering, Civil Engineering,

Senior Math Libraries Engineer - Sparsity in AI 2 Locations posted: Posted Today

Intern, Information Technology 3 Locations Job Description The Intern is responsible for performing a variety of professional IT work at a growing Fortune 500 company. We are hiring in the follow areas: Information Security, Data & Analytics, Finance Resource Management, IT Governance, and Products & Solutions. Responsibilities: Working with a technical mentor, provide support to key strategic projects. Work assignments and possible responsibilities will vary according to business need and departmental opportunities, in addition to student's qualifications. Existing IT staff professionals will serve as technical mentors and will provide a valuable experience and insights for the successful intern candidate. All Interns will participate in pre-planned intern events such as Senior Leader Meetings, Goal Setting, Team Building, Tour, and Final Presentations. Provides ad hoc project work support as needed. Core Competencies to be Successful: Technical and problem-solving skills. Ability to effectively communicate and organize across levels and departments. Strong ability to concisely and logically deliver analyses and proposals. Strong initiative to seek out information and solutions. Strong follow-through skills. Qualifications: Current student in or recent graduate of a Computer Science, Engineering, Software Development Information Technology, Informatics or other STEM-related program. Ability to work independently and to exercise strong technical judgment. Interest in learning new technologies. Strong focus on quality and timely work. Excellent verbal and written communication skills. Excellent problem solving and trouble-shooting skills. ADA Physical/Mental/Workplace Requirements Occasional lifting up to 25 lbs. Sitting, working at desk/personal computer for extended periods of time. Primary work environment is within a corporate office

CoDesign & NextGen - New College Grad 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 Engineers in the CoDesign and NextGen organization work at the interface of software and hardware helping everything from high performance kernel design, next generation ASIC performance modeling and tuning, new system bringup and software tuning, system robustness and simulations. As an new engineer you'll be expected to learn the Cerebras products and platforms end to end starting at the base layer of programming the Wafer Scale Engine through kernel development, modeling performance for our software products and validating the work

Distributed Systems Cluster Security Software – Engineering 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 In this role, you will be the security czar for the Cerebras's AI cluster product. Such AI clusters have 100's of Wafer-scale accelerator systems, 1000's of high-end servers, and several 1000's of networking ports including switches. Plus, there will be network attached storage, all in a large-scale datacenter. You will ensure that Cerebras's large-scale AI clusters are secured through first-principles, best practices, security-first based engineering. Cerebras cluster involves complex HW components, networking and a vertically integrated cluster management software

HRBP, High Performance Computing Tokyo, Tokyo, Japan Company Description: As one of the 4 pillars of Renesas business, High Performance Computing Product Group (HPC) is where cutting‑edge compute meets disciplined execution. The organization is focused on delivering major product roadmaps, building differentiated software and AI capabilities, and proving solutions through system‑level validation and real prototypes-often alongside open source and partners. It's a global team that values strong governance, clear accountability, and continuous improvement in methodology and ways of working. As an HRBP in HPC, you won't be “supporting from the sidelines.” You'll help build the team and operating model that makes the work possible: hiring critical skills, strengthening leadership capability, driving consistent talent actions across regions, and delivering high‑impact people initiatives from planning through execution. If you want scope, complexity, and visible business impact-this is it. Job Description: Role Summary This role is the right hand to the Global HR Business Partner for HPC and supports HPC leaders and teams worldwide. You will own global HRBP programs end‑to‑end-turning priorities into structured plans, driving execution, and ensuring outcomes land consistently across regions. This is a hands‑on role for someone who combines judgment, execution discipline, and strong business partnering. What You Will Do (Core Responsibilities) Global Hiring Governance & Execution Run the hiring operating model for HPC in partnership with Talent Acquisition and Finance (governance, tracking, approvals, and follow‑through). Drive clarity on role needs (skills, level, location), remove bottlenecks, and hold leaders/managers accountable for progress. Support decisions that require re‑sequencing, pausing, or

Manager, Software Image Quality, Creativity Apps Cupertino, United States of America The Creativity Apps team is looking for a Software Image Quality Manager to lead, mentor, and grow a team of Image Quality Engineers fostering a culture of excellence, collaboration, and continuous improvement. It requires a highly proactive individual with strong creative, technical, and analytic skills, and a passion for new technologies related to image/color science, computer vision/on-device machine learning. In this role, you will be responsible for planning, designing, maintaining, and overseeing the evaluation and validation of AI and ML models used in photo and video editing features, ensuring their accuracy, performance, and impact on image/video quality. You will collaborate closely with engineering, product, and design teams to understand feature requirements, identify potential quality risks, and help mitigate them throughout the development lifecycle. Establish and maintain objective and subjective image quality metrics and benchmarks. Champion a quality-first culture across the organization, present quality findings to product and leadership teams. Minimum Qualifications: 3+ years of experience in a managerial or leadership capacity, managing a team. 5+ years of experience in imaging, video processing, or computational photography quality. Bachelor's degree required in Computer Science, Image Processing, or a related subject area, or we may consider an equivalent industry experience. Prior experience in image quality evaluation and testing for photo and video applications. Strong understanding of digital image processing, color/image science, compression algorithms, and video codecs. Experience with AI/ML model evaluation and validation, particularly in computer vision or image manipulation contexts. Knowledge

Frontier Data Lead - RL Gyms San Francisco, California, United States About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com What we do We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: - Environments for Software Engineering / coding agents - UI-Environments for Computer-Use/Browser-Use agents - MCP-based Environments for general function-calling agents across various enterprise and consumer applications. The Role We are looking for a Frontier Data Lead - RL to own the end-to-end lifecycle of RL environment projects, spanning environment design, task generation, reward/verifier design, quality, and delivery to frontier AI labs and enterprise clients. This is a hands-on technical leadership role where you influence revenue directly - you will

Quantum Applied Scientist, Center for Quantum Computing, Device Team Pasadena, California, USA The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire an Applied Scientist on the Device Team, focused on integration R&D for 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 the design, fabrication, and characterization of superconducting quantum devices, with a strong understanding of how materials, process integration, and device architecture impact qubit coherence and performance. Candidates with a track record of original scientific contributions in superconducting qubit coherence, thin film materials, or Josephson junction engineering 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. Working effectively within a team environment is essential. As an Applied Scientist at CQC, you will be expected to drive integration R&D from concept through hardware demonstration and stay abreast of advances in superconducting quantum hardware. Key job responsibilities You will work at the unit cell level to integrate and evaluate new fabrication process modules and device design changes for superconducting quantum processors. This includes designing and executing experiments to assess performance impacts, investigating unexpected results through rigorous analysis and follow-on experiments, and leveraging electromagnetic and circuit-level simulations to interpret findings and connect observations to underlying physical mechanisms. You will coordinate with production

Business Development, Elastic Compute Diamond Bar, California Business Development, Elastic Compute

Mechanical 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. The Role: As a Mechanical Engineer at Cerebras, you will lead the design of mechanical systems for our next-generation wafer-scale engine. Your responsibilities will include ensuring compliance with specifications, validating manufacturability, and delivering a high-quality product in a fast-paced environment-tackling some of the most challenging problems in the rapidly evolving AI space. In this role, you will develop mechanical infrastructure for Cerebras' custom hardware system. - Rapidly iterate on designs and analysis to inform high level systems trades and steer overall product direction. - Provide comprehensive support for

Applied Scientist, Quantum Device Packaging & Environment R&D, Device Team, AWS Center for Quantum Computing, Device Team Pasadena, California, USA The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire an Applied Scientist on the Device Team, focused on packaging and environmental R&D for quantum devices. 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 the design, modeling, and testing of packaging and off-chip environments for microelectronic or quantum devices, with a strong understanding of how packaging and environmental factors impact qubit performance at cryogenic operating conditions. Candidates with a track record of original scientific contributions in packaging, microwave engineering, or quantum cryogenic hardware 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. Working effectively within a team environment is essential. As an applied scientist at CQC, you will be expected to drive packaging and environmental R&D from concept through hardware demonstration and stay abreast of advances in quantum hardware packaging and cryogenic measurement science. Key job responsibilities In this role, you will develop packaging and environmental R&D for superconducting quantum devices. Your responsibilities will span four interconnected areas: Packaging R&D: Design, model, and test packaging solutions for superconducting quantum devices. Build electromagnetic and mechanical models to predict and optimize packaging performance, and characterize

Applied Scientist, Materials and Process Development, AWS Center for Quantum Computing Pasadena, California, USA The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire an Applied Scientist on the Materials team, focused on materials integration and process development for 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 expertise in thin-film deposition, semiconductor integration processes, and materials characterization, with a strong understanding of how device topography and process sequences constrain materials integration choices. Candidates with a track record in materials integration for superconducting or semiconductor devices at wafer scale 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 integration R&D from process development through hardware demonstration and stay abreast of advances in superconducting materials and semiconductor manufacturing. Key job responsibilities You will develop and optimize materials for superconducting quantum hardware, with an emphasis on thin-film deposition processes and materials solutions that enable integration architectures for scaling qubit density. This includes establishing process-structure-property relationships for production-relevant films and interfaces, qualifying new tools and process modules, and designing integration schemes compatible with larger wafer formats. You will coordinate with cross-functional teams to translate materials advances into production, and publish results in scientific journals