Liquid AI jobs

Critical Facilities Technician (Liquid Cooling) Dacula, GA, United States The Critical Facilities Technician (Liquid Cooling) is responsible for providing onsite guidance, training, and technical support to data center technicians. Data Center Lead specializing in building and supervision of custom racks with chilled water solutions manages the design, integration, and deployment of high-density infrastructure (often 30kW-100kW+ per rack) designed for AI and HPC workloads. They bridge the gap between IT hardware requirements and facility engineering, specializing in Direct Liquid Cooling (DLC), Rear Door Heat Exchangers (RDHx), and Coolant Distribution Units (CDUs) to improve PUE and energy efficiency.

Head of Investments & Liquidity Remote-Friendly (Travel Required) | San Francisco, CA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Head of Investments & Liquidity to join our Treasury team. This is a foundational role on a quickly growing Treasury team. As we experience exponential growth, you will be instrumental in ensuring optimal capital allocation, protecting our financial assets, and establishing the policies and infrastructure needed to support our expanding global operations. This role reports directly to the Treasurer. The work spans strategy and execution: owning the capital planning framework and investment policy, standing up in-house trading infrastructure, and overseeing external managers. You will partner closely with teams across Finance, Legal, and Accounting to achieve these objectives. Key responsibilities - Own and optimize Anthropic's external investment program, including money market funds, bank deposits,and separately managed accounts - Monitor external manager performance and maintain a manager bench with clear performance reporting - Design and build an in-house investment program, including direct fixed income trading capability, trade infrastructure, and custodian connectivity - Develop and operationalize a capital planning framework across operating and strategic liquidity tiers - Design and maintain the investment policy statement, Treasury policies, and SOX-ready investment controls -

Risk Controlling Manager, Liquidity Risk (ILAAP) Madrid Risk Controlling Manager, Liquidity Risk (ILAAP) About the opportunity We are seeking a Manager Risk Controlling to help us further develop and strengthen our Risk Controlling function with a focus on the Internal Liquidity Adequacy Assessment Process (ILAAP) and overall Liquidity Risk Management. As part of the Risk Controlling team, you will lead the development, implementation, and analysis of models for liquidity risk controlling, covering both regulatory requirements (Pillar I) and internal methodologies. You will ensure that N26 maintains a robust liquidity position through advanced modelling, stress testing, and expert methodological guidance. At N26, we are redefining banking through technology and innovation. As a Risk Controlling Manager with a focus on ILAAP and liquidity risk, you will have the opportunity to shape the future of risk management in a fast-paced, forward-thinking environment. Join us and be part of a team that values collaboration, innovation, and excellence. In this role, you will: - Lead the design, maintenance, and continuous improvement of the ILAAP framework, ensuring it accurately reflects the firm's liquidity adequacy and risk appetite. - Develop and enhance advanced methodologies for measuring liquidity risk, including internal liquidity maturity ladders, survival period analysis, and intraday liquidity metrics. - Spearhead the design and calibration of comprehensive liquidity stress scenarios, identifying potential vulnerabilities and challenging qualitative assumptions. - Ensure full compliance with relevant European and German regulatory requirements, such as MaRisk and EBA Guidelines on ILAAP, while overseeing regulatory liquidity reporting standards. - Establish and maintain

Liquidity Relationship Manager – (DACA) United States Liquidity Relationship Manager - (DACA)

Hardware Engineer - Liquid Cooling New York, NY / Sunnyvale, CA / Bellevue, WA 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 . What You'll Do: CoreWeave is seeking a highly skilled and motivated Infrastructure/Hardware Engineer to join our Hardware Engineering team, reporting to the Hardware Engineering Manager. In this role, you will play a crucial part in the design, development, and optimization of our liquid cooling hardware infrastructure. You will collaborate closely with cross-functional teams, external vendors, and stakeholders to ensure the successful delivery of highly performant and reliable hardware solutions. About the role: Responsibilities: - Develop and maintain hardware/firmware management services. - Automate all aspects of the liquid cooling hardware lifecycle. - Collaborate with cross-functional teams to define liquid cooling hardware requirements, specifications, and system architecture. - Create and maintain accurate documentation of liquid cooling hardware designs, specifications, test procedures, and results. - Analyze and optimize the performance of liquid cooling hardware systems, identify bottlenecks, and propose improvements for enhanced efficiency. - Establish processes for internal liquid cooling hardware testing, deployment, and performance optimization. - Optimize,test, and support rack-level liquid cooling

Director of Corporate Treasury San Francisco, California Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. As the Director of Corporate Treasury at Okta, you will be a cornerstone of our Global Finance organization. Reporting directly to the Treasurer, you will oversee our capital structure, liquidity management, and financial risk mitigation strategies. This is a high-visibility leadership role where you will manage a global balance sheet while leading a critical digital transformation through the implementation of Kyriba. Key Responsibilities Investment Management & Capital Allocation - Portfolio Management: Oversee the company's investment portfolio, ensuring adherence to the Corporate Investment Policy while optimizing yield within risk parameters. - Capital Allocation Modeling: Develop sophisticated financial models to evaluate capital allocation strategies, including share buybacks, debt repayment, M&A funding, repatriation, and internal R&D investment. - Strategy Benchmarking: Monitor market trends and peer benchmarks to advise the Treasurer and CFO on optimal capital structure and return-of-capital frameworks. Cash & Liquidity Management - Global Liquidity: Direct global cash positioning, forecasting, and liquidity planning to ensure optimal funding for operations and

AI Engineer

Liquidity Relationship Manager – (Escrow) United States Liquidity Relationship Manager - (Escrow)

Member of Technical Staff - GPU Performance Engineer San Francisco, United States, Boston, Remote About Liquid AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there. The Opportunity Our models and workflows require performance work that generic frameworks don't solve. You'll design and ship custom CUDA kernels, profile at the hardware level, and integrate research ideas into production code that delivers measurable speedups in real pipelines (training, post-training, and inference). Our team is small, fast-moving, and high-ownership. We're looking for someone who finds joy in memory hierarchies, tensor cores, and profiler output. While San Francisco and Boston are preferred, we are open to other locations. What We're Looking For We need someone who: - Works profiler-first: You use tools like Nsight Systems / Nsight Compute to find bottlenecks, validate hypotheses, and iterate until improvements show up in end-to-end benchmarks. - Bridges theory and practice: You can translate ideas from papers into implementations that are robust, testable, and performant. - Executes independently: Given an ambiguous bottleneck, you can drive from profiling to kernel/integration changes to benchmarked results to maintained ownership. - Cares about the details: Memory hierarchy, occupancy, launch configs, tensor core utilization, bandwidth vs compute limits. The Work - Write high-performance

Senior Engineer, AI Developer Dublin, Ireland Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin is the AI Customer Agent company. Our AI agent, Fin, is transforming customer experience for businesses, and we believe that the same AI transformation should power our R&D organization. At Fin, shipping is our heartbeat . We are hiring a Senior Engineer for Builder Tools: the AI Developer Experience Enablement team. This is the team that makes shipping delightful, fast, and low-toil for hundreds of engineers and agents. Your mission is to help turn Fin's entire R&D organization into an AI-first engineering machine. We've made

Senior Sales Executive – Tokenized Liquidity Solutions, Money Markets Are you interested in shaping the distribution of tokenized liquidity solutions at the intersection of traditional finance and digital asset innovation? Do you want to work with leading digital asset platforms to deliver institutional grade tokenized money market fund solutions? Are you motivated by developing new distribution channels in a rapidly evolving market environment? We're looking for a Senior Sales Executive - Tokenized Liquidity Solutions (Money Market Funds) to: • drive global distribution of tokenized money market funds and liquidity solutions across the digital asset ecosystem • originate, structure and execute distribution partnerships with centralized and decentralized digital asset platforms, such as exchanges, wallets, custodians, stablecoin issuers, and DeFi participants • develop and execute the global go to market strategy for tokenized liquidity solutions • drive inflows into tokenized money market funds and related liquidity vehicles • advise partners on treasury, yield, settlement, and collateral use cases, including on and off chain liquidity solutions • act as a trusted advisor on liquidity management within digital asset markets, contributing insights to product development, pricing, and positioning

Sr. Liquidity Relationship Manager – (DACA) United States Sr. Liquidity Relationship Manager - (DACA)

Sr. Liquidity Relationship Manager – (ESCROW) United States Sr. Liquidity Relationship Manager - (ESCROW)

AI Cloud Solution Engineer Glasgow, United Kingdom posted: Posted 21 Days Ago

Treasury and Payment Services, Liquidity Product Manager Minneapolis, MN, United States As a Treasury Product Manager within Treasury & Payment Solutions, you will lead and evolve a portfolio of liquidity and account management solutions, including Liquidity Manager, Zero Balance Account...

AI Research Scientist/Engineer (f/m/d) Bochum Position description At Sonar, we are seeking an innovative Machine Learning Scientist to join our Data & AI team and pioneer the next generation of our code analysis engine. You will be at the forefront of applying cutting-edge AI and Large Language Model (LLM) techniques to the complex domain of source code. Your work will directly shape our products, pushing the boundaries of static analysis to help millions of developers write better, more secure code. If you are driven to solve real-world problems by turning state-of-the-art research into practical, high-impact solutions, this is the role for you. Position description At Sonar, we are seeking an innovative Machine Learning Scientist to join our Data & AI team and pioneer the next generation of our code analysis engine. You will be at the forefront of applying cutting-edge AI and Large Language Model (LLM) techniques to the complex domain of source code. Your work will directly shape our products, pushing the boundaries of static analysis to help millions of developers write better, more secure code. If you are driven to solve real-world problems by turning state-of-the-art research into practical, high-impact solutions, this is the role for you. What you will do - Spearhead Research & Innovation: Stay on the cutting edge of ML, Deep Learning, and LLMs, specifically their application to the Software Development Lifecycle (SDLC), and identify novel opportunities to enhance our products. - Develop Advanced AI Models: Design, prototype, and validate novel ML models that identify

Treasury Liquidity Controller - Associate Bengaluru, Karnataka, India Build your career in liquidity while working in the world's most innovative bank which values creativity and excellence.

AI Infrastructure Engineer Dublin, Ireland Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? We're looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products. Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You'll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in

Associate Director, Financial crisis management and liquidity strategy Toronto Requisition ID: 261251 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The role: The position is responsible for assisting in the management of liquidity strategy development, planning and execution for both business as usual and contingency planning. The role will also assist with the coordination of the Bank's financial resource management by monitoring the reporting of the Bank's liquidity risk metrics to assist with the proactive management of the Bank's liquidity position. The role is also integral in coordinating policy and project tasks for Group Treasury's liquidity management. Is this role right for you? In this role, you will: Support the Director to ensure that Scotiabank meets the OSFI contingency planning and CDIC Resolution Planning requirements. This includes assisting with the update of the Scotiabank Recovery and Resolution Plans. It also includes proposing and `supporting the enhancement of the Bank's crisis management capabilities related to liquidity monitoring and reporting, liquidity scenario modeling and intraday liquidity and collateral management. Lead the update of the Group Treasury requirements for Financial Market Intermediaries (FMI) Contingency Plans. This includes ongoing data collection, reporting and analysis of FMI collateral requirements to support BAU requirements and Contingency Planning. Support the GT Collateral Management team on strategies to optimize the Bank's collateral managem

Machine Learning Engineer, AI Models Cyprus 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. Join Tenstorrent's AI Models team and work at the layer most ML engineers never see: bringing advanced models to life on custom AI hardware. You'll own real workloads end‑to‑end including porting, tuning, and validating LLMs and vision models on our accelerator, and chasing down every last millisecond and percentage point of accuracy. This role is for people who love the craft of ML engineering and want their work to matter at silicon scale, not just behind another API. This role is hybrid , based in Cyprus. 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 - Bring up, run, and debug modern ML models (e.g., transformers) using PyTorch or TensorFlow. - Analyze model behavior and performance, and identify bottlenecks across

Data Center Infrastructure Mechanical Engineer San Francisco, California, United States About the Team OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners. As a Data Center Infrastructure Mechanical Engineer, you will help design, validate, and scale the cooling and mechanical systems that make high-density AI compute possible. You will work across thermal architecture, equipment development, manufacturing validation, construction, commissioning, deployment, and operations, partnering with research, hardware engineering, data center engineering, supply chain, EHS, operations, and external delivery partners. About The Role We are seeking a senior mechanical infrastructure engineer to lead the development of reliable, efficient, safe, and scalable thermal architectures for high-density, liquid-cooled AI data centers. This role is ideal for someone who can translate evolving compute and rack-level thermal requirements into practical infrastructure designs, evaluate complex equipment and vendor solutions, and drive technical decisions across facilities, hardware, controls, telemetry, testing, commissioning, and operations. The ideal candidate has deep hands-on experience with mission-critical mechanical systems at data center or comparable critical infrastructure scale, including chilled water plants, condenser water systems, cooling towers, dry coolers, pumps, heat exchangers, CDUs, manifolds, CRAHs, air handlers, filtration, water treatment, controls, liquid distribution, and high-density rack cooling interfaces. Key Responsibilities - Define mechanical and cooling infrastructure requirements and reference architectures for AI data center campuses, including heat rejection, chilled water, condenser water, liquid

Founding AI & ML Engineer New York City | OnSite ABOUT CONCOURSE Concourse builds AI agents for corporate finance teams. We connect core enterprise data sources and deploy AI agents that can analyze the data through natural language, deliver insights in seconds, and enable our customers to make better decisions. Since launching less than a year ago, Concourse has grown extremely rapidly. Our AI agents are deployed across hundreds of high-growth companies, unicorn startups like Persona, Front, Lightmatter, and large public companies - including multiple Fortune 500 customers. Concourse is backed by Andreessen Horowitz, CRV, YC, Standard Capital, and 50+ angel investors from companies like OpenAI, Cursor, Vercel, Brex, Carta, Rippling, 1Password, Deel, Jeeves, and DoorDash. ABOUT THE ROLE We're hiring a Founding AI & ML Engineer to play a key role in the engineering behind our AI agents and define how finance teams interact with LLMs at scale. Your mission is to build, optimize, and scale production-grade AI agents that deliver best-in-class accuracy, reliability, and performance for large enterprise datasets. You'll work across models, prompts, infrastructure, and data systems to push the boundaries of what AI agents can do for finance teams. The right candidate will have a high ownership mentality, infectious energy, and technical expertise to move the company and engineering organization forward. KEY RESPONSIBILITIES - Build and Scale AI Agent Infrastructure: Architect and maintain systems that process hundreds of thousands of queries per month, ensuring accuracy, reliability, and performance across LLM and SQL calls. - Tune and

Product Engineer - Liquid Cooling Solutions Country Taiwan | City Bade Job Req ID: 29096 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: We are looking for a highly capable and experienced Product Engineer to join our team, specializing in liquid cooling technologies. This role is pivotal in ensuring the successful deployment, maintenance, and performance optimization of our cooling solutions, which include Coolant Distribution Units (CDUs), cooling towers, L2A Sidecars, and Rear Door Heat Exchangers (RDHX). The ideal candidate will bring strong technical expertise, contribute to service innovation, and support the development of new service offerings to meet evolving customer needs. Essential Duties and Responsibilities: Team Leadership & Development: Lead, mentor, and develop a global team of project managers responsible for liquid cooled server racks and AI cluster deployments. Conduct regular training, coaching, and performance reviews to grow project management capabilities. Project Delivery Oversight: Oversee planning, sche

AI Engineer San Francisco | OnSite HockeyStack is building the agent infrastructure for enterprise revenue. We spent five years building the only data architecture that preserves causality across the full revenue stack - every interaction, every signal, in sequence. On top of that foundation, we built Nex-lm, a purpose-built AI engine that compiles natural language into deterministic agent workflows. The result is a platform that can extract the revenue blueprint from a company's data, encode it into repeatable automations, and execute it across sales, marketing, and customer success - consistently, at scale. We are not building a dashboard tool with an AI feature. We are building the operating layer that replaces the human bottleneck in enterprise revenue organizations. This is a category being defined right now, and we intend to own it. We have raised $50M+ from Bessemer Venture Partners, General Catalyst, Y Combinator, and others. We operate fully in-person in San Francisco. We move fast and we hire people who want to win. Since launching late 2023, we have grown to 8-figures in ARR, process over 60 TB of revenue data monthly, and we are working with some of the largest B2B companies in the world like Microsoft, Harvey, New Relic, Collibra, etc. 🚀 YOUR MISSION As an AI Engineer your mission is to harness the power of agentic AI in building the single portal where GTM team members go to grow their business. You'll push the boundaries of what LLMs can do - designing systems that don't just