Strong Compute jobs

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

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

Cubist Quantitative Developer Hong Kong ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE The candidate will be responsible for designing, implementing, and optimizing the research and production pipeline for a medium frequency equity portfolio-maintaining and improving production monitoring tools, and helping with production issues. An ideal candidate should have a passion for technology, take ownership of their work, and thrive in a dynamic and fast-paced work environment. RESPONSIBILITIES - Designing, implementing, and maintaining research and production pipeline-including data processing, model building, back-testing, and live monitoring toolkits. - Performance optimization in both research and production environments. - Troubleshooting and resolving production issues. REQUIREMENTS - Bachelor's degree or higher in computer science or other quantitative discipline. - 3+ years of professional programming experience, preferably in a big tech firm or a quantitative trading team. - Advanced proficiency in Python and its ecosystem. - Fast learner, strong passion for technology, and keen to explore the latest technological advancements. - Experience in software architecture and engineering is a plus. - Experience in distributed computing is a plus. - Strong quantitative skills and knowledge in statistics and linear algebra is a plus. - Commitment to the highest ethical standards.

Principal Machine Learning Engineer-Gen AI, Machine Learning, Graph ML (10189) San Jose, California, United States Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme. Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them. Become part of Something big with Extreme! As a global networking leader, learn why there's no better time to join the Extreme team. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. Become part of something big with Extreme! As a global networking leader, learn why there is no better time to join the Extreme team. Position details Title of position: Principal Machine Learning Engineer - Gen AI, Machine Learning, Graph ML Position type: Full time Location: Seattle, WA / San Jose, CA Position reports to: Director of SW Systems Engineering Application deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled. Work authorization: Applicants must have legal authorization to work in the country where the role will be performed. Scope: Our AI

Product Manager, AI Platform & Performance San Francisco, CA About the role Every Sigma experience - every query, every workbook, every agent interaction - runs on a platform that has to be fast, observable, and reliable at enterprise scale. As PM for AI Platform and Performance, you'll own the foundational capabilities that make that possible: query execution, compute and caching, metadata services, compiler components, agent infrastructure, platform observability, and data connectors. This role is for a technically strong PM who can move comfortably between infrastructure tradeoffs and customer conversations - and who gets energy from both. What you'll do - Own the roadmap for how Sigma's AI platform scales - compute, observability, connectors, and the query infrastructure that powers it all. - Partner closely with enterprise customers to understand performance pain points and translate them into platform improvements. - Work with engineering to ship meaningful gains in latency, throughput, reliability, and cost efficiency. - Build the observability and agent monitoring capabilities that give customers and internal teams real visibility into how their workloads run. - Make active prioritization calls across a wide surface area, with clear reasoning behind every tradeoff. What we're looking for - 5+ years of product management experience in B2B SaaS, data platforms, analytics, infrastructure, or developer-facing products - A track record of owning and delivering a product roadmap end-to-end across technically complex areas - Strong working knowledge of databases, distributed systems, query engines, caching, APIs, and cloud infrastructure - Experience with observability tooling, agent monitoring, or

System Software Engineer (Embedded) 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 part of the Embedded Software team, you will help build the critical software foundation that powers the Cerebras Wafer Scale Engine (WSE)-the world's largest AI processor. Our team owns a diverse range of embedded and system level components that enable the WSE to operate reliably at scale, including microcontroller firmware, wafer level monitoring logic, system administration services, and the Linux platform and BSP layers that keep the entire system running smoothly. This role exists at the intersection of embedded systems, platform engineering, and

Quantitative Trading Associate Hong Kong, Hong Kong The Role We are seeking a highly motivated individual with strong data or computer science skills to support and enhance our quantitative trading operations. The role combines real-time trading oversight, process automation, and cross-team collaboration, with room to grow into supervisory responsibilities in a regulated environment. Key Responsibilities - Oversee quantitative trading activity during market hours, monitoring strategy performance, execution quality, and key risk or control thresholds. - Maintain and enhance monitoring tools, dashboards, alerts, and operational runbooks to support safe, scalable trading operations. - Coordinate and lead incident response, trade and position reconciliations, and issue resolution with internal teams and external counterparties. - Support portfolio operations (including rebalancing and inventory or constraint management) using data-driven and automated workflows. - Develop a strong understanding of market structure, broker services, and trading platforms, and collaborate with portfolio managers, engineers, and other stakeholders to turn recurring operational issues into durable process and system improvements. Required Skills & Qualifications - Bachelor's, Master's, or PhD degree in Computer Science, Data Science, Engineering, Finance, Economics, or a related quantitative field. - 3+ years of relevant experience in the financial industry. - Strong analytical and problem-solving skills with a data-driven mindset. - Proficiency in Python and familiarity with Linux-based environments. - High attention to detail, strong communication skills, and the ability to operate in a fast-paced environment. - Interest in taking on increasing levels of oversight and supervisory responsibility in a regulated trading environment. Who We Are Schonfeld is

Intermediate Full-Stack Developer Montreal, Toronto MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100 , the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the engineering talent to match. We are looking for a Full Stack Developer to join these teams. These roles have openings at Intermediate, Senior and Lead level positions. What you'll do: - You'll brainstorm & collaborate with Product Managers and Designers to conceptualize new features & be involved in building product roadmaps. - You'll bring a product mindset to understand customers' business, their needs, and the technical opportunities and challenges that exist within their industries. You'll work across our stack (TypeScript, React, React Native, Node.js, and GraphQL) - Web & Mobile - You'll work with the team to build, maintain and optimize product features that focus on how our users best collaborate with one another. - You'll actively own team features or systems and define their long-term health, while also improving the health of surrounding systems. - You'll mentor other engineers and deeply review code. - You'll improve engineering standards, tooling and processes & bring best practices in planning, developing, testing and deploying industry compliant code. - On-call duties About you: - You have 3-5

Machine Learning Engineer New York About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role/Responsibilities: We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day-to-day operations, such as creating a production support AI agent that helps monitor production problems and suggest actions. This role will also work with the AI research group on various projects such as creating synthetic data for training and using MCP agents to streamline research workflow. Requirements: - PhD or PhD candidate in machine learning, computer science or other AI related research fields - Experience with sequential modeling and time series forecasting using deep learning - Experience with deep neural networks and representation learning - Prior experience working in a data driven research environment - Experience with translating mathematical models and algorithms into code - Proficiency in programming languages such as Python and R - Experience with machine learning software libraries such as TensorFlow or PyTorch - Experience implementing Agent or Context engineering is strongly preferred - Experience with natural language processing technology is strongly preferred - Excellent analytical skills, with strong attention to detail - Collaborative mindset with strong

Account Executive, AWS, Not-for-Profit Financial Services Minneapolis, Minnesota, USA Would you like to own driving revenue and customer engagements for a leader in the Cloud Computing business? Would you like to be part of a rapidly growing team focused on increasing adoption of Amazon Web Services (AWS) by engaging with financial services organizations? Not-for-profit financial services organizations, like credit unions, pension funds and mutual insurance organizations, are rapidly adopting AWS as part of their mission-impacting business strategies. They are leveraging AWS to modernize member experiences, deliver Agentic AI solutions, and migrate legacy infrastructure. Do you have the sales experience, financial services background and customer relationships to help further establish AWS as a leading cloud platform provider to this important customer base? As an Account Executive with AWS, you will have the exciting opportunity to help shape and deliver on a strategy that focuses on customer success, building mind share and driving broad use of Amazon's utility computing services with a set of named, mission-driven financial services organizations. The ideal candidate will have sales and/or consulting experience within this geographic market, a strong understanding of FSI-specific challenges, strong relationships within the customer base and the consulting and SaaS partner community that serves this market. The Account Executive will be a strong analytical thinker who thrives in fast-paced dynamic environments, has a strong technical interest, and a passion for financial services. They should be a self-starter who is prepared to develop and execute an account coverage plan with high-growth revenue targets. A

Staff Software Engineer, Inference Cloud 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. Location: Sunnyvale We're hiring a Staff Engineer to own major areas of the architecture of our Inference Cloud Platform. This team owns the cloud layer behind our Inference Service, with responsibility for availability, latency, reliability, and global scale. This is a hands on IC role for an engineer who wants to work on the hardest distributed systems problems in the stack: multi-region traffic architecture, graceful degradation under bursty AI workloads, performance at high QPS, and the operating model for a platform that has to stay

Governance & Operations Lead, Infrastructure & Planning Cupertino, United States of America Apple's Platform Acceleration & Compute Efficiency (PACE) is a high-leverage team operating at the critical intersection of our ML organizations, underlying compute infrastructure, and core platform tooling. Our mission is to empower Apple's software engineering teams with efficient, scalable compute. By driving out operational friction and optimizing the broader machine learning ecosystem, we directly accelerate the pace of development across the company. We are seeking a founding Operations Lead with a passion for ML compute lifecycle management to build and own our governance and operations function. This is a ground-up opportunity to develop the roadmap and build a world-class, high level operations team. You will partner closely with tools and analytics leads to define the governance systems, telemetry frameworks, utilization dashboards, and analytical models that give PACE and Apple's ML leadership a clear, continuously updated picture of how compute is being used. Success for this role means zero project slips due to process, platform, or mis-prioritization. Mastery of this role means establishing and tracking key productivity metrics and proactively solving problems to keep those metrics consistently high. Your work will power core ML analytics both for internal development and inference serving. Most operations roles involve endless runbooks. This role is for someone who is also an engineer and artist at heart. Your operations work will empower a high-leverage team to drive decisions that have a significant impact on Apple's financial results. - Own the daily operations of the

Quantitative Developer - Production Hong Kong, Singapore Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. QRT is seeking a Quantitative Developer with strong Python skills and a deep understanding of systems design and reliability principles to help evolve and scale our high-performance trading platform. You'll build tools, automation, and design systems that support the speed and reliability our business depends on. Your future role within QRT - Collaborate with developers, researchers, traders, and platform teams to build and improve business-critical systems - Build automation for operations, deployment, monitoring, and incident response - Evaluate and implement tools that balance performance, complexity, and maintainability - Own and evolve our observability stack: metrics, logs, tracing, and alerts Your Present Skill Set - Bachelor's degree in Computer Science or a strongly related field - Strong Python programming skills - Strong problem-solving skills and deep understanding of computer science fundamentals - Commitment to code clarity, documentation, and reducing technical debt - Hands-on experience with Linux/Unix systems in production environments - Proven track record designing and delivering scalable systems in production environments - Knowledge of low-latency systems, trading environments, market data,

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

Software Engineer - Site Reliability Engineering Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. QRT is seeking a Software Engineer with strong Python skills and a deep understanding of systems design and reliability principles to help evolve and scale our high-performance trading platform. You'll build tools, automation, and design systems that support the speed and reliability our business depends on. Your future role within QRT - Collaborate with developers, researchers, traders, and platform teams to build and improve business-critical systems - Build automation for operations, deployment, monitoring, and incident response - Evaluate and implement tools that balance performance, complexity, and maintainability - Own and evolve our observability stack: metrics, logs, tracing, and alerts - Participate in the team oncall rota, leading incident response and driving continuous improvement through postmortems and root cause analysis Your Present Skill Set - Bachelor's degree in Computer Science or a strongly related field - Strong Python programming skills - Strong problem-solving skills and deep understanding of computer science fundamentals - Commitment to code clarity, documentation, and reducing technical debt - Hands-on experience with Linux/Unix systems in production environments -

Research Engineer MONTRÉAL, Quebec, Canada Embrace the role of a Research Engineer and drive innovation in machine learning at RBC Borealis. Collaborate with top researchers, develop cutting-edge AI solutions, and work with massive datasets and computational resources. If you have a passion for applied machine learning and a strong Python skills, this is your opportunity to make an impact.

Pure Mathematics Specialist – Freelance AI Trainer Project World Wide - Remote Are you a theoretical mathematics expert eager to shape the future of AI? Large-scale language models are rapidly advancing, and their ability to handle rigorous proof-based reasoning depends on high-quality mathematical training data. With your advanced expertise, tomorrow's AI can better understand abstraction, logic, measure theory, homotopy, and the deep structures of modern mathematics. That training data begins with you - your insight will help power the next generation of AI. We're looking for specialists with deep foundations in pure mathematics who can engage with advanced topics across probability theory, measure theory, real and functional analysis, optimization, abstract algebra, and category theory. Coupled with this deep foundation, we need each expert to have a normalized fluency in Lean 4, the proof assistant and programming language. On a typical day, you will construct and evaluate complex proofs, substantiate the mathematical reasoning for correctness and rigor while identifying subtle conceptual or logical failures, and translate this material to successfully build in .lean syntax. You will also collaborate with our team to refine prompts, evaluation frameworks, and mathematical reasoning benchmarks, enhancing the overall quality of our operations. Candidates fluent in Lean 4 with an in-progress or freshly earned PhD or current PostDoc experience in pure mathematics are ideal. A strong command of core areas is required, and applicants should be comfortable with topics such as Markov's and Chebyshev's inequalities, Hoeffding bounds, convergence theorems, the Carathéodory extension theorem, the Riesz representation theorem,

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

Logistic Co-Ordinator Mölndal, Sweden Embrace the role of a Logistics Coordinator in Sweden, supporting pharmaceutical research and development. Manage inventory, handle chemicals, and ensure timely deliveries in a dynamic lab and production environment. Ideal for detail-oriented professionals with strong computer and communication skills. Grow your career with a global leader in life sciences.

Senior/Staff Engineer : Post Silicon- Bring Up Bengaluru, Karnataka, India; Sunnyvale, CA; Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. The Role: In this exciting role, you will be responsible for bring up and optimizations of Cerebras's Wafer Scale Engine (WSE). Suitable candidate will have experience delivering end to end solutions working closely with teams across chip design, system performance, software development and productization. Responsibilities: - On Wafer Scale Engines, develop and debug flows that embed well tested and deployable optimizations in production processes to reduce time and costs - Work on refining AI Systems across H/W-S/W

Warehouse - Stocking Overnight Billings, Montana, United States of America Embrace the role of a Warehouse Stocker and play a key role in ensuring accurate inventory and safe handling of products. If you have strong attention to detail, basic computer skills, and thrive in a team environment, this is your opportunity to grow your career with a stable and supportive company.

Senior Software Backend Engineer, Platform Computing San Diego HQ, San Diego, California, United States, Boston Office JOB SUMMARY We are seeking a Senior Software Backend Engineer, Platform Computing to integrate and operate the compute layer that powers data processing and model inference across Iambic's drug discovery platform. You will work within the Software Platform team, partnering with ML engineers and scientists to ensure production workloads are reliable, performant, and scalable. Your focus will be on integrating and operating compute infrastructure and orchestration systems that enable scientific workflows across the platform. This position will be based at our San Diego Headquarters. KEY RESPONSIBILITIES - Integrate and maintain the compute layer supporting data processing and model inference workflows in production - Ensure reliable and performant execution of workloads through monitoring, troubleshooting, and failure resolution - Operate and extend workflow orchestration systems (e.g., Prefect, Coiled, Modal or similar frameworks) - Support deployment and execution of ML model outputs in production environments - Enable scientific workflows by integrating external data sources and supporting analysis and inference workloads within and outside of Insight (e.g., large-scale assay refits) - Collaborate with ML engineers and cross-functional teams to translate model capabilities into production-ready systems - Integrate new compute capabilities into the platform as they are developed, ensuring scalability and flexibility - Establish and maintain best practices for reliability, observability, and operational support QUALIFICATIONS - 10+ years of relevant experience with a Bachelor's degree; or 8 years and a Master's degree; or equivalent experience - Strong software engineering

Lead AI Engineer San Francisco, California, United States Hilbert is building a reasoning engine that must navigate non-deterministic user behavior across data silos - turning months-long decision cycles into minutes. Fully agentic by design, our demand intelligence platform doesn't just call APIs; it solves the hard problem of orchestrating multi-step inference over messy, high-stakes enterprise data where deterministic answers don't exist. We're looking for a Lead AI Engineer who can own the technical direction of Hilbert's AI stack, ship production-grade systems hands-on, and elevate a growing engineering team - all with the ownership and urgency of a founder. This is not a "manage from a distance" role. You'll write code, make architecture calls, set the bar for quality and velocity, and build the engineering culture as we scale. You're the person the team looks to when the problem is ambiguous, the stakes are high, and the path forward hasn't been written yet. If you combine deep technical craft with the ability to lead people and communicate with clarity, we want to meet you. Why Hilbert AI Hilbert is building the demand intelligence platform used by world-class B2C leaders - including the world's largest retailer - to unlock compounding growth outcomes. We sit at the intersection of AI, data, and commercial activation for retail and e-commerce. We're scaling fast with top-tier investors behind us. The AI stack is the product - which means engineering leadership here has direct, measurable impact on enterprise customers and revenue. We're a small, talent-dense, low-ego team.

Applied Scientist, Quantum error correction team, Amazon Center for Quantum Computing Pasadena, California, USA The Amazon Center for Quantum Computing (CQC) in Pasadena, CA, is looking to hire an Applied Scientist in the Quantum Error Correction Theory Team. You will be joining a multi-disciplinary team of scientists working at the forefront of quantum computing. The ideal candidate should posses comprehensive knowledge of quantum fault tolerance theory, including: - Topological, concatenated and low density parity check codes - Quantum decoding algorithms - Fault-tolerant logical protocols You will contribute to developing hardware-aware fault-tolerant protocols and software tools for performance analysis under realistic noise models, helping guide our organization toward delivering a fault-tolerant quantum computer. Key job responsibilities - Design and evaluate novel quantum error correction schemes, including new codes and fault-tolerant protocols - Research and develop hardware-optimized architectures for fault-tolerant computing - Drive experimental implementations of quantum fault-tolerance - Develop simulation and modeling software tools - Lead high-impact, collaborative research projects aligned with our engineering roadmap - Apply strong engineering principles while maintaining scientific rigor A day in the life Based in Pasadena, CA, you'll work in our purpose-built facility, designed for quantum computing research and development, adjacent to Caltech's campus. As an applied scientist in the quantum error correction team, you will: - Drive independent research while collaborating on fault tolerance projects within our architecture - Stay abreadth with current developments in the active field of fault-tolerance through joint Caltech seminars and conference participation - Partner with experimental scientists to enhance