Strong Compute jobs

Datacentre Operations Engineering Paris Saclay About Us We're a fast-growing GPU-as-a-Service provider, delivering scalable, high-performance compute infrastructure purpose-built for AI and HPC workloads. Operating across global data centres, we run mission-critical environments where uptime, throughput, and ultra-low latency are non-negotiable. Role Overview We are seeking a deeply technical, hardware-passionate Datacentre Operations Engineer to execute on-the-ground operations for our Paris-Saclay deployment-Radiant's premier, cuttingedge AI infrastructure site in Europe. This role focuses on delivering precise, repeatable physical practices-including advanced smart-hands support, complex cabling, and hands-on operation of advanced liquid cooling and ultra-high-density compute systems-to guarantee world-class SLAs on next-generation hardware architecture. Working closely with Infrastructure (HPC) SRE, Network Engineering, and Datacentre Strategy teams, you will uphold uncompromising standards on the data centre floor. You will live and breathe the hardware, maintaining elite facility reliability through hands-on deployment, proactive maintenance, rapid incident response, and structured break/fix execution across advanced liquid cooling systems, busbar-based high-density power distribution, and next-generation GPU compute platforms. The role centres on technical execution and optimised output. You will turn global engineering standards into flawless, repeatable daily routines, continually honing on-the-ground practices to keep our most advanced hardware running at peak performance. Experience with NVIDIA NVL72- class or busbar/high-density compute is strongly valued; candidates who can demonstrate a strong aptitude and clear willingness to train to operational proficiency on these platforms are equally welcome. As Radiant expands its EMEA footprint, your relentless drive for hardware perfection and proven field expertise with high-density environments will serve as the operational blueprint to

Senior Scientist, Synthetic Data Generation 5 Locations posted: Posted 2 Days Ago

HPC Infrastructure Site Reliability Engineer Gloucestershire, United Kingdom, London About Us We're a fast-growing GPU-as-a-Service provider, delivering scalable, high-performance compute infrastructure purpose-built for AI and HPC workloads. Operating across global data centres, we run mission-critical environments where uptime, throughput, and ultra-low latency are non-negotiable. Role Overview We are looking for a senior Infrastructure Site Reliability Engineer with deep experience operating large-scale distributed systems and recent hands-on expertise in high-performance computing (HPC) and AI infrastructure. This is an operations-first SRE role, working in a 24/7/365 on-call environment, responsible for ensuring reliability, performance, and continuous improvement of mission-critical infrastructure. This role sits within a cross-functional organisation spanning network engineering, infrastructure SRE, Platform SRE, infrastructure tooling engineers (software) and data centre operations. The ideal candidate has progressed through large-scale, globally distributed or multi-site infrastructure environments and has more recently specialised in GPU-accelerated HPC systems. This role provides exposure to the latest high-density AI compute platforms , including next-generation GPU infrastructure at significant scale. You will bring strong breadth across bare metal, networking, storage, virtualisation, and orchestration, alongside deep HPC experience including NVIDIA GPU ecosystems, RDMA networking (RoCE and InfiniBand), and performance validation and benchmarking. Strong Linux and distributed systems expertise is essential. Alongside operational ownership, this is a deeply technical Infrastructure SRE role centred on advanced operational troubleshooting and performance evaluation across large-scale HPC systems. You will investigate complex, cross-layer issues spanning GPU compute, networking, storage, and orchestration, building a clear understanding of system behaviour under real production AI and HPC workloads. A

ML Kernel Performance Engineer, Edge AI and Science Vancouver, British Columbia, CAN Amazon Devices is an inventive research and development company that designs and engineers high-profile consumer products like the Kindle family, Fire Tablets, Fire TV, Health & Wellness devices, Amazon Echo, and Astro. We are building the next generation of edge AI capabilities through our advanced compression platform and custom neural accelerator silicon. Within Edge AI & Science, the AI Platform team builds a compression platform-the first of its kind-enabling 20-100x neural network compression for edge and cloud deployment. As model sizes grow from billions to hundreds of billions of parameters, compute efficiency becomes the single largest return on engineering investment during training. The gap between eager-mode Python and optimized GPU execution is where months of training time are won or lost. We are looking for an ML Kernel Performance Engineer to work at the hardware-software boundary of this platform, crafting high-performance CUDA and Triton kernels that make our compression algorithms run at peak efficiency during training, fine-tuning, and inference. You will build the tooling and kernel libraries that democratize GPU performance optimization across the team, enabling scientists and engineers to profile, diagnose, and fix kernel bottlenecks without needing to be CUDA experts themselves. Working alongside compression scientists and platform engineers, you will ensure that novel quantization schemes (ternary, nonary, mixed-precision) and sparse computation patterns translate into real throughput gains on GPU hardware. Your work will directly accelerate every training run in the organization and unlock deployment of compressed

Embedded Software Development Engineer Haifa, Haifa, ISR We are seeking an experienced Embedded Software Development Engineer to join Annapurna Labs, a strategic division of Amazon. You will join a team focused on high-performance computing (HPC), impacting millions of AWS services globally. In this role, you will be instrumental in designing and developing embedded software that powers AWS's cloud infrastructure. The jobs consists of mainly software development and silicon debugging, in C/assembly, and using scripting languages/AI. Key job responsibilities - Design and implement embedded software solutions for next-generation cloud computing platforms - Develop and optimize validation software for advanced semiconductor devices - Create, maintain, and debug robust testing frameworks for silicon validation - Collaborate with cross-functional teams on complex system development and integration - Debug and optimize software at both pre-silicon and post-silicon stages Basic Qualifications: - Bachelor's degree in Computer Science, Computer Engineering, or related technical field - 5+ years of professional experience in embedded software development - Strong programming skills in C and/or assembly language - Proven experience with firmware development, device drivers, EDA tools, or embedded applications - Deep understanding of computer architecture and hardware-software interfaces - Experience with debugging tools and performance optimization techniques Preferred Qualifications: - Expertise in ARM architecture and instruction set - Proficiency in scripting languages (Python, Perl, Bash, TCL) - Knowledge of hardware protocols (PCIe, DDR) - Experience in Random Test Generators or other EDA tools development - Experience with pre/post silicon validation Our inclusive culture empowers Amazonians to deliver the best results

Systems Development Engineer, Research Compute Platform, Fauna New York, New York, USA We are seeking a Systems Development Engineer to own the research compute platform for Fauna Robotics. You will build and operate the physical and virtual infrastructure that our ML scientists use to train reinforcement learning policies for real robots, from fleet provisioning and job scheduling to cloud burst capacity and environment reproducibility. This role requires both strong systems engineering fundamentals and genuine comfort working alongside researchers. The ideal candidate is as happy diagnosing a GPU thermal fault as they are designing a job scheduler, and treats “the scientist's training run just works” as the north star for everything they build. Key job responsibilities - Own on-prem GPU compute end-to-end: provisioning, imaging, driver and CUDA management, monitoring, failure diagnosis, hardware RMA, and capacity planning - Build and operate a job scheduling layer (Slurm, Ray, SkyPilot, or equivalent) so scientists submit training runs without managing individual machines - Design and implement the bridge between on-prem and cloud compute - Partner directly with ML scientists to triage training issues, profile workloads, identify bottlenecks, and advise on how to structure training for the hardware at hand About the team Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces. We believe that future won't arrive until building for robotics becomes far more accessible. Today, too much effort is

Performance Architect, AI HW Toronto, Ontario, Canada Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. The Tensix team is building the high-performance compute fabric that powers Tenstorrent's AI and ML workloads. As an AI Performance Architect, you will model, analyze, and optimize how real AI workloads run on the Tensix architecture, shaping future hardware features and ensuring every design decision delivers measurable performance gains. This role connects architecture, software, and RTL to push the limits of efficiency and scalability across next-generation AI systems. This role is hybrid, based out of Toronto, ON; Austin, TX; or remote. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are - Deeply analytical engineer with strong intuition for AI workload behavior and system-level performance bottlenecks. - Experienced in C++ and Python for simulation, modeling, and performance analysis across heterogeneous

Senior AI Compute Engineer - NVIS 2 Locations posted: Posted 30+ Days Ago

Senior Computational Chemist, Drug Discovery (UK) United Kingdom About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity SandboxAQ's AI Simulation team develops novel drugs and materials by integrating AI and physics-based computational solutions. Our AQBioSim group seeks a computational chemist who will not only apply cutting-edge methodologies but also critically assess and refine computational approaches. This individual will challenge assumptions, ask "why" when interpreting results, and ensure the reliability and accuracy of findings rather than blindly trusting outputs. This UK-based role will drive innovation by combining quantum, AI, and physics-based methods-such as molecular dynamics and active learning free energy perturbation-to advance drug discovery. Working within a highly skilled and multidisciplinary team, including drug hunters with a strong

Director, Head of Compute Engineering 2 Locations posted: Posted 29 Days Ago

Senior Technical Program Manager (TPM) Berkeley, CA Rigetti Computing is building quantum computers and the full-stack infrastructure required to bring quantum advantage to real-world applications. Our vertically integrated platform includes superconducting quantum processors, cryogenic infrastructure, control electronics, and cloud software that enables developers worldwide to run quantum programs on real hardware. We are seeking a Senior Technical Program Manager to drive execution across some of the most complex engineering programs at Rigetti. This role sits at the intersection of quantum hardware, systems engineering, and software infrastructure, ensuring that cross-disciplinary teams deliver integrated quantum systems on schedule. The Role Rigetti's quantum systems require tight coordination between research scientists, hardware engineers, and control systems. As a Senior TPM, you will own the planning and execution of large technical programs that bring these components together into deployable quantum systems. You will operate in a fast-moving deep-tech environment where many efforts are research-driven and technically ambiguous, requiring strong judgment, technical understanding, and execution discipline. Rigetti Computing is building quantum computers and the full-stack infrastructure required to bring quantum advantage to real-world applications. Our vertically integrated platform includes superconducting quantum processors, cryogenic infrastructure, control electronics, and cloud software that enables developers worldwide to run quantum programs on real hardware. We are seeking a Senior Technical Program Manager to drive execution across some of the most complex engineering programs at Rigetti. This role sits at the intersection of quantum hardware, systems engineering, and software infrastructure, ensuring that cross-disciplinary teams deliver integrated quantum systems on schedule. The

Computer Vision Specialist - Freelance AI Trainer Project United States of America Are you an experienced Homography specialist eager to shape the future of AI? Large-scale language models and computer vision systems are evolving rapidly, moving beyond basic perception into advanced mathematical modeling, spatial reasoning, and applied problem-solving. With high-quality training data, tomorrow's AI can deliver more accurate, reliable, and innovative solutions across fields such as robotics, augmented reality, 3D reconstruction, and visual mapping. That training data begins with you-your expertise will help power the next generation of AI. We're looking for a Homography specialist who can bring mathematical precision, domain knowledge, and practical problem-solving skills to training data. You'll work with cutting-edge AI tools, evaluate and refine outputs, and provide feedback on homography transformations, projective geometry, multi-view consistency, and real-world applications in vision and graphics. On a typical day, you will review and annotate AI-generated content, assess responses for correctness and clarity, identify reproducible error patterns, and collaborate with our team to refine prompts, evaluation methods, and domain-specific guidelines. Tasks may include selecting and labeling static points across images, conducting manual and synthetic homographies, validating transformation accuracy, and documenting error behavior for model improvement. Foundational knowledge of homography and projective geometry is required, supported by coursework, research, or applied experience in computer vision, robotics, graphics, or related fields. A degree in mathematics, computer science, or engineering is a plus. Strong analytical ability, clear communication skills, and attention to detail are essential. Ready to channel your homography expertise into building

Staff Forward Deployed AI Engineer Bengaluru, Karnataka, India; Gurugram, Haryana, India 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 About the role: Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. Roles & Responsibilities: - Develop and optimize LLM-based solutions : Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures. - Codebase ownership : Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing

Applied Scientist, Agentic Automated Reasoning London, England, GBR The Agentic Automated Reasoning Group is building the next generation of software verification tools combining advances in artificial intelligence, the computational capacity of the cloud, and our deep expertise in the domain. Join us if you want to be a part of this transformational endeavor. The Strata team (https://github.com/strata-org) is seeking an applied scientist with broad interest and expertise in model checking, interactive theorem proving, programming language semantics, and generative AI. You will combine your expertise with that of your coworkers to build new tools that solve code analysis problems previously considered beyond reach. Our application areas span all the way from Infrastructure as Code to high-performance cryptography written in assembly code, while our methods span from interactive theorem proving to automated test generation. Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. https://aws.amazon.com/security/provable-security/ Key job responsibilities - Work with customer teams to understand the nature of their software and the properties they need to establish of it. - Identify tools and methods capable of addressing the verification needs of customers, including any novel analysis capabilities required. - Use techniques spanning property-based testing to model checkers, and

Computer Vision Engineer (Object Detection & Tracking) New York, NY, New York, USA About Us ZeroMark builds AI-driven counter-drone systems that actually work in combat. No PowerPoints. No hype. Just field-proven technology that saves lives. We've doubled year-over-year for two straight years, winning contracts that prove what we've always known: real innovation happens in the dirt, not in conference rooms. Our systems transform standard weapons into AI-powered platforms that detect, track, and neutralize drone threats-because a $200 drone shouldn't require a million-dollar countermeasure. Here's what makes us different: ZeroMark operators don't build from behind screens. You'll validate tech from Blackhawk helicopters, train alongside Tier-1 units (who happen to be our coworkers), and test at legendary ranges from White Sands to the cliffs of Hawaii. When we say field-tested, we mean you'll shoot it, fly with it, and push it to failure. We don't tweet about changing the world-we're too busy actually doing it. Watch us in action here . Dark humor required, thick skin recommended. If you want to make an actual impact-and have some unforgettable Tuesday afternoons along the way-let's talk. We're all about delivering practical, field-tested tech, not just theories. What You'll Do We are seeking an experienced and highly motivated Principal Computer Vision Engineer to join our team. This role is focused on developing and optimizing advanced computer vision algorithms for aerial object detection and tracking. The ideal candidate will have a strong background in computer vision, deep learning, and deep learning, with experience in the defense

Finance Manager, AWS Containers & Serveless Compute Seattle, Washington, USA Are you looking for that next big Finance opportunity? Looking for a business partnering role with full P&L responsibility? Want to directly influence the future of some of the most successful products in cloud computing? ​ Join us at AWS Finance! Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprise, government and start-up business and organizations in over 190 countries around the world. Launched in 2006, Amazon Web Services officially began offering developer customers access to web services - now widely known as cloud computing - based on Amazon's own back-end technology platform. AWS Finance seeks a world class Finance Manager to be a key leader supporting AWS Serveless Compute business. This position will work closely with finance management as well as key business partners across the AWS organization, including product managers, engineering leaders, sales and business development leadership, and internal AWS teams to drive thoughtful analysis and controllership. The successful candidate will implement and drive the core financial processes for the business including Annual Operating Plans, Service P&Ls, Monthly/Quarterly Business Reviews, identify and quantify financial/operational Risks and Opportunities (R&O) to the business, and drive ad-hoc business projects. This role requires a self-starter with a strong financial modeling background, problem solving skills, a keen attention to detail, ability to work in a fast-paced environment with ambiguous situations, and solid skills in people management and thought leadership. This

AI Solutions Architect (Datagrid) US - California - San Francisco posted: Posted Yesterday

CPU/Storage/PoP-WAN Program Manager San Francisco, California, United States, Seattle About the Team OpenAI's Infrastructure organization builds the systems that power frontier AI workloads at global scale. As compute demand accelerates, our ability to rapidly convert infrastructure investments into usable production capacity has become mission critical. The CPU / Storage / PoP / WAN team is responsible for the end-to-end infrastructure layers required to bring compute online: server and cluster activation, storage platforms, Points of Presence (PoPs), backbone connectivity, and global network expansion. We operate across first-party facilities, colocation environments, and strategic cloud partners to ensure OpenAI can scale reliably and quickly. About the Role We are seeking a highly technical Program Manager to lead execution across CPU, Storage, PoP, and WAN infrastructure programs that directly unlock OpenAI's next generation compute capacity. In this role, you will own complex cross-functional programs spanning compute cluster activation, storage deployment, PoP bring-up, and backbone expansion. You will coordinate hardware readiness, site readiness, network pathing, storage availability, vendor execution, and engineering dependencies required to turn contracted infrastructure into live training and inference capacity. This role requires strong technical fluency across hardware systems, network infrastructure, storage architecture, and deployment execution. You should be comfortable operating from rack-level implementation details through executive-level capacity planning discussions. This role is based in San Francisco, CA, with travel as needed. Key Responsibilities - Lead end-to-end execution of CPU / GPU cluster activation programs across OpenAI's global infrastructure footprint - Drive readiness to convert contracted compute capacity into schedulable production clusters

Strategic Project Lead New York, New York, United States; 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 The Role You will be the operational engine behind Turing's most strategic data delivery projects for frontier AI labs. Every major lab - OpenAI, Google DeepMind, Meta AI, Anthropic, and others - depends on high-quality human expert data to train, post-train, and evaluate their models. Your job is to take those projects from customer kickoff to flawless delivery, managing hundreds to thousands of contributors and building the client relationships that turn a single project into a long-term partnership. This is a high-ownership role. You will shape the playbook, the quality frameworks, the escalation paths, and the contributor management infrastructure that define how Turing delivers at scale. What You'll Do 1) Operational execution - own end-to-end delivery on every project you run - Design and manage data pipelines from customer

Senior Software Dev Engineer , Velocity, Velocity Westboro, Wisconsin, USA As a Software Development Engineer for Amazon Robotics, you will be at the forefront of building and deploying computer vision systems that power our robots. This role combines deep expertise in software engineering, computer vision, and robotics to solve complex challenges in real-world perception, navigation, and path planning. You will work closely with applied scientists, software developers, and product teams to architect, design, and implement robust software systems that enable safe and efficient operations. This position requires a unique blend of strong software engineering fundamentals and computer vision expertise, with a focus on transforming research concepts into production-ready, scalable solutions that operate reliably in diverse real-world environments. Key job responsibilities - Design, build, and optimize production software systems for computer vision-based perception, navigation, and planning - Lead the development of scalable, high-performance computer vision pipelines including model integration, inference optimization, and deployment - Transform research concepts into production-ready solutions that meet strict safety and performance requirements - Develop novel software approaches to solve complex technical challenges in perception, navigation, and planning - Create and implement metrics, evaluation frameworks, and testing infrastructure to measure system performance and reliability - Collaborate with applied scientists and engineering teams to integrate ML/CV models into the production stack Basic Qualifications: - 8+ years of non-internship professional software development experience - Experience as a mentor, tech lead or leading an engineering team - 5+ years of programming with at least one software programming language experience -

Software Engineer - GPU Kernels San Francisco, California, United States, New York ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We're seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications. You'll work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Model Performance team: - Baseten Embeddings Inference: The fastest embeddings solution available - The Baseten Inference Stack - Driving model performance optimization RESPONSIBILITIES Core Engineering Responsibilities - Design and implement high-performance GPU kernels for key ML operations, including matrix multiplications, attention mechanisms,

Sr. Data Scientist - Capacity Data Livingston, NJ / New York, NY / Sunnyvale, CA CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . Job Summary CoreWeave is seeking a Sr. Data Scientist to architect and scale the data infrastructure that serves as the backbone of our Integrated Planning and Capacity teams. As an AI hyperscaler, our ability to manage GPU, CPU, and storage assets in real-time is the difference between leading the market and falling behind. Currently, our systems are in a nascent, "bare minimum" stage. You will be responsible for leading the transition to a centralized, production-grade database system. This is a heavy data engineering and software engineering-focused role where you will build the pipelines and transformations necessary to unify disparate metrics-ranging from power utilization and node health to customer capacity allocation data-into a single, accurate source of truth. Your work will directly enable the dashboards used by operational planners and executives, and provide the high-fidelity data required to develop autonomous, data-based agents for quantitative decision-making. Key Responsibilities - Architect Scalable Pipelines: Design, build, and maintain robust end-to-end data pipelines and

Computational Designers: Industrial Design Group Cupertino, United States of America Apple's Industrial Design Group is seeking Computational Designers who thrive in an environment of exploration, iteration, and close collaboration. You will work with Industrial Designers, Human Factors researchers, and Digital Sculptors to translate complex, multidimensional data into sophisticated frameworks. Your work will inform data-driven design solutions that help shape how Apple's products look and function. The role involves bridging aesthetics, engineering, and human-centered insights through algorithmic modeling and data-driven design strategies. You will integrate large datasets - such as biomechanics research or advanced manufacturing constraints - into functional, elegant design solutions. We value the ability to explore, iterate, and communicate clearly with cross functional teams. We encourage candidates of all experience levels to apply. Minimum Qualifications: Demonstrated understanding of computational and parametric design principles. Proficiency in Grasshopper and Rhino; experience with Python, C#, or other scripting languages is a plus. Excellent problem-solving skills with the perseverance to tackle open-ended, ambiguous challenges. Exceptional communication skills with proficiency in English, enabling clear articulation of complex technical concepts to both technical and non-technical audiences. Preferred Qualifications: Proven ability to incorporate diverse data sets (e.g., human factors research, biomechanical metrics, and engineering constraints) into computational models. Skilled at creating adaptable design systems and flexible frameworks that can evolve alongside project insights. Capacity to explore materials, manufacturing processes, and production techniques through algorithmic methods. Strong data and file management capabilities, ensuring high-quality digital deliverables that can translate into refined surfaces and production-ready geometry. Bachelor's degree

Staff Software Engineer, Compute Architecture Manhattan, NY / Sunnyvale, CA / Bellevue, WA / Livingston, NJ CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . About the Role As a Staff Software Engineer within our Compute Architecture organization, you will help build the software systems that operate the backbone of our large-scale GPU data centers. The METALDEV team builds Go-based distributed services that bring new infrastructure online, manage hardware lifecycle workflows, monitor production health, and automate safe operations across fleets of GPU servers and rack-scale systems. This is a software-first role at the intersection of distributed systems, production reliability, and hardware-aware automation, where your work directly improves the reliability, safety, and scalability of real-world infrastructure. What You'll Do - Design, build, and operate Go-based services that manage the lifecycle of large-scale GPU data center infrastructure. - Build automation for data center bring-up, hardware discovery, health monitoring, remediation, and production operations. - Develop reliable APIs, services, and workflows for managing BMCs, firmware state, server health, and rack-level infrastructure. - Improve observability, alerting, and operational tooling so production issues can be detected, understood, and resolved