Hypercubic jobs

Founding Software Engineer - Backend San Francisco | OnSite We are looking for a founding backend engineer with unusually strong engineering and design taste. The world's most critical infrastructure-banking, airlines, utilities-is held together by millions of lines of COBOL and mainframe logic written decades ago. The engineers who built it are retiring and the documentation is fading. These systems are "too big to fail" and "too complex to change," leaving global infrastructure frozen in the 1970s. At Hypercubic, we're building AI systems that can understand, reason about, and rearchitect large-scale legacy applications. We work at the intersection of program analysis, knowledge extraction, and agentic systems, applied to some of the most critical enterprise software in the world. Learn https://www.hypercubic.ai/insights/mainframe-modernization-is-a-hard-and-fun-problem-to-solve why we're excited about mainframe modernization. ABOUT THE ROLE We're looking for a backend engineer with unusually strong engineering and design taste. You will work directly with the CTO to design, prototype, and productionize AI-powered systems from first principles. This is a founding role with meaningful ownership over architecture, product direction, and engineering culture. It is suited for someone with strong fundamentals and comfortable operating across abstraction layers, from low-level system reasoning to high-level interactions. WHAT YOU'LL DO - Rapidly prototype new concepts and features to validate ideas before full implementation. - Ship AI-driven features end to end, from model interaction to user-facing workflows. - Set early engineering standards around testing, reliability, and code quality. - Translate ambiguous problem statements into concrete experiments, constraints, and working systems. - Lead architecture decisions

Electrical Hardware Engineer, HyperX Hsinchu, Hsinchu City, Taiwan

Account Director, Hyperscale Sales (Remote: USA) Denver, CO About Our Company: Headquartered in Denver, Colorado, Cologix is a leading North America network-neutral interconnection and hyperscale edge data center company. Our platform gives customers access to 45+ digital edge and Scalelogix℠ hyperscale edge data centers in 13 markets across the United States and Canada along with a carrier-dense ecosystem of 710+ networks, 360+ cloud providers, 35+ onramps and seven Internet exchanges. We provide our nearly 2,000 customers with direct access to our local operations teams, resulting in strong partnerships enabled by exceptional operational support and unparalleled customer service. Backed by one of the largest North American infrastructure funds, Cologix's experienced leadership team, certified staff and commitment to ESG initiatives help form a culture that values our people, our environment and our clients. About the position: As an Account Director, Hyperscale Sales with Cologix you will be responsible for leading strategic development and execution of the Cologix Sales and brand presence within the Hyperscale and Global Strategic Account community. Cologix is rapidly becoming the standard in high-density compute environments for this vertical, serving both the largest established players and the emerging challengers. To accelerate this growth we are looking for a top performing entrepreneurial driven sales director to develop sales opportunities, identify, penetrate and close target prospect accounts within the market segment. The candidate will carry an individual quota and will be responsible for retiring that quota on a monthly basis through the closing of new sales. Demonstrable understanding of the Hyperscale

VP CS New York City | Hybrid | Remote About Hypercore Hypercore is building the operating system for the $3T+ global Private Credit market - one of the fastest-growing and most under-served asset classes in finance. Backed by Insight Partners and Y Combinator, Hypercore is trusted by leading private credit funds, BDCs, and alternative asset managers to run their most mission-critical operations. As private credit firms scale in size and complexity, legacy systems and spreadsheets are no longer sufficient - and that's exactly where Hypercore comes in. Hypercore is scaling fast - not just in revenue, but in ambition. We're building a category-defining company in a massive market, and we're assembling a team that wants to grow with it. We're looking for a VP Customer Success to build and lead Hypercore's global Customer Success function. In this role, you'll own the entire post-sale lifecycle - from complex, long-term implementations to retention, expansion, and customer advocacy. You'll work closely with leading financial institutions and play a critical role in ensuring customers derive maximum value from Hypercore's platform. What You'll Do - Build and lead Hypercore's Customer Success organization, including hiring, structuring, and scaling the team. - Own the full customer lifecycle: onboarding, implementation, adoption, retention, and expansion. - Lead complex, long-term enterprise implementations, ensuring successful delivery and deep product adoption. - Develop and execute a scalable Customer Success strategy aligned with Hypercore's growth. - Act as a strategic partner to customers, understanding their financial workflows and business needs. - Work closely

Director, Electrical Engineering – Hyperscale Sanchong posted: Posted 30+ Days Ago

Ingénieur Calculs - F/H La Ferté-Saint-Aubin, Loiret, France Rejoignez notre équipe en tant qu'Ingénieur Calculs et contribuez à des projets innovants dans le domaine de la défense et de la sécurité. Si vous êtes passionné par la modélisation et la simulation, ce poste est fait pour vous !

Ingénieur Calcul H/F Aix-les-Bains posted: Posted 11 Days Ago

Ingénieur concepteur calcul de structure – Eurocodes H/F Dardilly, Auvergne-Rhone-Alpes, France Ingénieur concepteur calcul de structure - Eurocodes H/F

Applied AI/ML Scientist UAE 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 an Applied AI Scientist in the FieldML team, you will be responsible for developing and customizing large language models and more broadly large-scale deep learning models to solve specific customer problems. You won't just advise; you will build. You will bridge the gap between state-of-the-art research and real-world applications by helping customers harness the power of the Cerebras Wafer-Scale Engine (WSE) for their AI initiatives. We are looking for experienced AI Scientists who are passionate about the "applied" side of machine learning - those

Advanced Technology: AI/ML Research Scientist Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, 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 Cerebras builds wafer-scale AI processors-single chips delivering tens of PB/s of memory bandwidth and a dataflow architecture that accelerates at a granularity no multi-device system can match. The Advanced Technology Group (ATG) is Cerebras ' pathfinding organization. We work ahead of product to explore new architectures, demonstrate breakthrough performance on scientific and AI workloads, and shape the technical roadmap for future Cerebras hardware and software. Our work regularly appears at top-tier venues (Supercomputing, SIAM, IEEE,

Senior GL Accountant 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 a detail-oriented and experienced Senior GL Accountant to join our corporate accounting team. This role is responsible for participating and maintaining general ledger accounting operations, ensuring accurate and timely financial reporting in compliance with U.S. GAAP. Responsibilities - Perform the monthly, quarterly, and annual financial statement close processes globally in accordance with US GAAP, including preparation and review of journal entries, account reconciliations, and variance analysis for cash, prepaids, accruals, inter-company, OPEX and various other accounts. - Support the external reporting

Mathematics Specialist (Fluent in Arabic) - Freelance AI Trainer Project Egypt Are you a mathematics expert fluent in Arabic, eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline academic work for students and professionals everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for mathematics specialists who live and breathe algebra, calculus, number theory, linear algebra, differential equations, statistics, geometry, mathematical logic, and discrete mathematics. You'll challenge advanced language models on topics like real and complex analysis, optimization theory, mathematical proofs, set theory, probability distributions, cryptographic algorithms, and applied mathematics-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on classroom problems and theoretical mathematics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master's or PhD in mathematics or a closely related quantitative field is ideal; peer‑reviewed publications, teaching experience, research in pure or applied mathematics, or hands‑on experience with mathematical modeling signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your mathematics expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $6-to‑$65 per hour, with the

ASIC Architect 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. Responsibilities - Translate high level architecture spec to micro-architecture feature requirements - Bring up new features in the performance/power model - Perform comprehensive PPA trade-offs for new architectural features - Extract insights for new features and micro-architecture power efficiency - Profile workloads, identify bottlenecks and project competition performance for benchmarking - Engage with SW teams for end-end application level modeling at cluster level - Identify kernel level HW acceleration level opportunities Qualifications - Masters/PhD in Electrical/Computer Engineering - 10+ years of experience across performance analysis and modeling across

Senior Accountant 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 The Senior Operations Accountant will be a key contributor to the Finance and Operations teams, reporting to the Senior Cost Accounting Manager. This role is designed for a detail-oriented professional who excels in fast-paced environments and can derive insights from complex manufacturing and inventory data. You will support the end-to-end execution of cost accounting and fixed asset processes. Responsibilities Cost Capitalization & Inventory Accounting - Execute monthly inventory reconciliations and post all related journal entries. - Perform calculations for inventory rebates, wafer manufacturing yield losses,

Video Algorithms Intern, Video Coding (Gaussian Splatting), Fall 2026 Los Gatos,California,United States of America At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. The Role Gaussian Splatting (GS) is a 3D/4D scene reconstruction technique that enables photorealistic novel-view synthesis with low rendering complexity, making it attractive for deployment on consumer devices such as TVs, streaming sticks, phones, and laptops. Realizing this vision requires addressing several open technical challenges, such as a significant reduction in model training/encoding time and more efficient compression. As part of the Video Algorithms team during this 24-week Fall internship, you will help us investigate the potential of GS as a future streaming format and explore possible improvements, with a focus on building towards a practical system. During the internship, you will: Explore GS model compression strategies using open datasets Contribute to early thinking on additional dataset needs for representative scenes. Characterize trade-offs among GS model size, training time, and rendered quality, and quantify the gap relative to streaming-rate targets Identify and experiment with strategies to reduce training/encoding time and/or to improve GS compression efficiency Design and implement a proof-of-concept (PoC) that showcases GS-based rendering on content of interest Who Are You? Currently pursuing a PhD in

GPU Performance Engineer - Neural Reconstruction Canada, Remote posted: Posted 8 Days Ago

Research Scientist, Efficient Deep Learning - New College Grad 2026 US, CA, Santa Clara posted: Posted Yesterday

GPU Performance Engineer - Neural Reconstruction 6 Locations posted: Posted 17 Days Ago

Staff Python / PyTorch Developer — Frontend Inference Compiler – Dubai Europe; Remote, California, United States; UAE 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: Would you like to participate in creating the fastest Generative Models inference in the world? Join the Cerebras Inference Team to participate in development of unique Software and Hardware combination that sports best inference characteristics in the market while running largest models available. Cerebras wafer scale inference platform allows running Generative models with unprecedented speed thanks to unique hardware architecture that provides fastest access to local memory, ultra-fast interconnect and huge amount

Director of Costing Accounting 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 The Director of Cost Accounting will lead all cost accounting, inventory, and cost-related financial activities across manufacturing, infrastructure, and AI compute operations. This role is critical to ensuring accurate costing, capitalized asset accounting, and cost transparency across both training and inference workloads. This role requires comfort operating in a fast-paced, evolving environment, where priorities may shift and processes are still being built. The successful candidate will be expected to ramp quickly, close gaps, and contribute immediately, bringing structure, judgment, and execution while helping

GPU Compiler Engineer (m/f/d) Fixed-Term Germany, Munich posted: Posted Yesterday

Senior Researcher - GPU Performance Redmond, WA, US

Research Scientist, Circuits - PhD New College Grad 2026 2 Locations posted: Posted 30+ Days Ago

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