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Job Description Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large-scale model training, and demanding data processing workloads.We provide infrastructure deployed in our facilities or co-located in yours, delivering flexible on-demand or reserved compute that feels like an extension of your existing data center. Our team of AI infrastructure specialists combines bare-metal performance with cloud-native operational simplicity, enabling research teams and enterprises to deploy demanding AI workloads with enterprise-grade reliability and compliance. Your Role: You will be foundational to building the comprehensive infrastructure platform that bridges our physical infrastructure – bare-metal servers, GPU clusters, high-performance storage, and networking fabric – with the systems our customers depend on for large-scale computation, inference, simulations, and training. Working closely with product, your platform team members, and infrastructure specialists, you'll design and implement the orchestration layer, APIs, and automation framework that make thousands of servers, petabytes of storage, and high-speed networks feel like a unified, programmable platform. Job Responsibilities • Infrastructure Abstraction Layer: Design and build systems that bridge physical infrastructure (bare-metal servers, storage clusters, network fabric) with customer-facing services, enabling programmatic management of compute, networking, and storage at scale., • Research Cluster Provisioning: Design and implement systems for provisioning and managing research computing environments including Kubernetes and SLURM clusters, enabling automated deployment, resource scheduling, and workload orchestration for distributed AI training and HPC workloads., • Platform Orchestration: Implement comprehensive orchestration systems that coordinate across compute, storage and networking to deliver unified experience for complex research workloads., • Network Automation & Placement: Design and build network provisioning automation including intelligent VM placement decisions for optimal network topology, automated VLAN and subnet configuration, and software-designed networking orchestration for high-performance interconnects., • Enterprise APIs & SDKs: Develop robust APIs and SDKs that enable researchers and engineering teams to programmatically provision and manage infrastructure resources across all platform domains., • Observability & Telemetry: Implement comprehensive observability, telemetry, and logging systems that provide visibility into infrastructure health, performance, and utilization across the infrastructure footprint., • Performance Engineering: Build and optimize platform services that deliver consistent high-throughput low-latency networking for demand research applications and data-intensive workloads., • Cross-Team Collaboration: Work closely with engineering, infrastructure, and product to define requirements, drive infrastructure-product-rollouts, and improve resource lifecycle management., • Compliance & Security: Implement platform-wide compliance and security features supporting SOC 2, ISO 27001, and enterprise regulatory requirements including comprehensive audit logging, access controls, and data residency management.Requirements, • Experience: 5+ years in software engineering with a proven track record of infrastructure platforms, distributed systems, or cloud platforms for production environments., • Kubernetes & Container Orchestration: Strong familiarity with Kubernetes architecture, container orchestration concepts, and experience deploying workloads in Kubernetes environments. Understanding of pods, deployments, services, and basic Kubernetes operations., • Infrastructure Systems: Strong understanding of infrastructure fundamentals including compute orchestration, storage systems, networking technologies, and how they integrate together to deliver complete platform experiences., • Programming Skills: Experience with systems programming languages (Go, C/C++, Rust, Python) for performance-critical components is a strong plus., • Linux Production Experience: Strong experience with linux in production environments, including systems administration, performance tuning, and troubleshooting., • Bare-Metal & Virtualization: Deep knowledge of bare-metal infrastructure, provisioning systems, out-of-band management, and virtualization technologies (KVM, Kubernetes, etc)., • API & Platform Design: Proven experience designing and building APIs, SDKs, and automation frameworks that enable programmatic infrastructure management., • Cloud Platform Knowledge: Strong familiarity with cloud environments (AWS, GCP, Azure) and understanding of how to translate cloud-native patterns to bare-metal infrastructure., • Infrastructure Automation: Experience with Infrastructure-as-code tools (Terraform, Ansible) and building automated deployment pipelines., • Problem Solving & Autonomy: Self-starter who can navigate ambiguity, balance pragmatic shipping with good long-term architecture, and independently drive complex technical initiatives., • Communication Skills: Strong written and verbal communication skills, including ability to write clear technical communication and collaborate across teams., • Commitment to Growth: Growth mindset with continuous focus on learning and professional development.Preferred Qualifications, • Background provisioning or managing research computing environments (Kubernetes, SLURM, or HPC clusters), • Experience building internal platforms, infrastructure-as-a-service, or developer tooling, • Background with GPU computing platforms and AI/ML infrastructure requirements, • Knowledge of high-performance networking technologies (InfiniBand, RDMA, SR-IOV), • Experience with observability and monitoring platforms (Prometheus, Grafana, ELK stack), • Familiarity with both cloud-native and bare-metal infrastructure deployment models, • Understanding of enterprise compliance requirements and security best practices, • Extra points for experience with financial services technology infrastructure and understanding of trading system requirementsKey Technologies, • Go, Python, Kubernetes, Docker, Terraform, Ansible, Linux, Networking (BGP, VXLAN), Storage Systems, FastAPI, PostgreSQL, Redis, NVIDIA GPU Technologies, InfiniBandWhy Moonlite, • Build Next-Generation Infrastructure: Your work will create the platform foundation that enables financial institutions to harness AI capabilities previously impossible with traditional infrastructure., • Hands-On Ownership: As an early engineer, you'll have end-to-end ownership of projects and the autonomy to influence our product and technology direction., • Shape Industry Standards: Contribute to defining how enterprise AI infrastructure should work for the most demanding regulated environments., • Collaborate with Experts: Work alongside seasoned engineers and industry professionals passionate about high-performance computing, innovation, and problem-solving. #li-remote

Job Description Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. The role of a Partner Marketing Manager at Canonical Canonical is looking for a channel marketing manager who will be responsible for developing our strategic relationships with a set of global partners . Canonical partners with the leading companies in technology across public cloud (Amazon, Google, Microsoft, Oracle…), silicon (ARM, Intel, Qualcomm, Mediatek, Nvidia, Xilinx…), hardware vendors (Dell, HP, HPE, Lenovo). As our business increasingly depends on partners, the scope of our partnership grows every year (GSI, software vendors, IoT…). We are thus looking for an individual, who will not only drive successful marketing activities with our partners but also shape our partner programs. Marketers at Canonical are brand stewards and demand creators.They transform complex open-source technology into messages, stories and strategies that shape the market understanding of our vision. Some focus on differentiated product and portfolio positioning; others specialize in account-based engagement, partner and alliance messaging, or product-led growth. Whatever their specialization, each marketer works as part of a cross-functional unit, contributing campaigns and insights that help the company learn and grow faster. We have a bias for action, focus efforts on the most impactful activities and take ownership of our results. We work across long buying cycles, balance storytelling with data, design experiments, track outcomes, and iterate rapidly to find what works. Marketers at Canonical don't just promote open source; they amplify it, ensuring our innovations reach the right people, at the right time, with clarity and purpose from developers to decision makers. This role reports to the Head of Partner Marketing. Location:This role will be based remotely in the Americas region. What your day will look like • Build joint go-to-market plans with partners, from messaging to pipeline generation, • Create and deliver integrated campaigns, product launches, webinar series, industry announcements and core content in collaboration with partners., • Package all of Canonical's product offerings and educational material creatively, from bare metal, AI, Kubernetes..., • Continue to grow Canonical's partner ecosystem by delivering partner value, • Continue to develop Canonical's partner activities to scale our partner programsWhat we are looking for in you, • Experience in B2B marketing and experience working with strategic corporate partners to develop co-marketing initiatives., • Strong customer/partner relationship management skills., • Proven analytical skills, able to assess opportunities and make decisions on ROI/advantages of programs & investments., • Willingness to roll up their sleeves., • Experience in enterprise software, SaaS or silicon preferred, • Track record of delivering strong results and innovation., • Ability to work and thrive in a self-starter, fast-paced and changing environment, • Love for diverse work assignments and the opportunity to try new approaches, • Distributed work environment with twice-yearly team sprints in person, • Personal learning and development budget of USD 2,000 per year, • Annual compensation review, • Recognition rewards, • Annual holiday leave, • Maternity and paternity leave, • Team Member Assistance Program & Wellness Platform, • Opportunity to travel to new locations to meet colleagues Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Job Description Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large-scale model training, and demanding data processing workloads.We provide infrastructure deployed in our facilities or co-located in yours, delivering flexible on-demand or reserved compute that feels like an extension of your existing data center. Our team of AI infrastructure specialists combines bare-metal performance with cloud-native operational simplicity, enabling research teams and enterprises to deploy demanding AI workloads with enterprise-grade reliability and compliance. Your Role: You will be instrumental in building and operating production-grade AI infrastructure with deep Kubernetes expertise at its core. Working closely with our systems engineers, network engineers, and platform engineering team, you'll architect and operate the Kubernetes infrastructure that powers our control plane and orchestrates compute, storage, and networking at scale. This role requires deep understanding of Kubernetes internals, custom resource definitions (CRDs), storage and network integrations, and building production-grade clusters from the ground up (not just deploying in managed environments). You'll ensure enterprise-grade reliability while establishing the automation, observability, and operational practices. Job Responsibilities • Kubernetes Infrastructure Engineering: Design, build, and operate production Kubernetes clusters on bare-metal infrastructure – including cluster bootstrapping, control plane architecture, etcd management, and scaling strategies for high-performance compute workloads., • Kubernetes Networking & CNIs: Implement and operate custom Kubernetes networking solutions with SR-IOV for high-performance GPU interconnects, multi-tenancy isolation and advanced networking policies. Configure CNI plugins and network segmentation for research workloads., • Custom Operators & Controllers: Develop and maintain custom Kubernetes operators and controllers for bare-metal provisioning, infrastructure lifecycle management, and resource orchestration across compute, storage, and networking domains., • GPU Infrastructure Integration: Deploy and optimize NVIDIA GPU operators, device plugins, and other custom scheduling logic for GPU workload placement and utilization optimization., • Platform Integration & Storage: Build deep integrations between Kubernetes and underlying infrastructure including CSI drivers for storage, custom admission controllers for policy enforcement, and scheduling extensions for specialized hardware placement., • Infrastructure Automation: Design and implement automation using Terraform, Ansible, Helm, and custom operators to orchestrate infrastructure workflows and enable deployments across multiple regions., • Production Operations & Reliability: Manage production bare-metal infrastructure across multiple regions. Build systems ensuring high availability, fault tolerance, and graceful degradation – establishing SLIs, SLOs, and monitoring to meet enterprise reliability commitments., • Observability & Incident Response: Build comprehensive monitoring, logging, and alerting using Prometheus, Grafana, and ELK stack. Lead incident response, conduct postmortems, and implement preventative measures to improve reliability and reduce MTTR., • Performance & Capacity Planning: Identify and resolve performance bottlenecks across infrastructure domains. Monitor utilization trends, forecast capacity needs, and optimize resource allocation for various workloads.Requirements, • Experience: 5+ years in SRE, DevOps, or infrastructure engineering roles with proven experience operating production infrastructure at scale., • Kubernetes Infrastructure Expertise: Deep hands-on experience building and operating production Kubernetes clusters on bare-metal infrastructure – not just deploying workloads in managed clusters. Must understand cluster bootstrapping, control plane architecture, etcd operations, and scaling strategies., • Kubernetes Internals & Integration: Strong understanding of Kubernetes internals including custom resource definitions (CRDs), operators, controllers, admission webhooks, and scheduling. Experience integrating storage (CSI drivers), networking (CNI, SR-IOV), and specialized hardware (GPU device plugins) with Kubernetes., • Linux Systems Experience: Strong fundamentals in Linux systems administration, performance tuning, troubleshooting, and automation in production environments., • Infrastructure Automation: Proficiency with infrastructure-as-code tools (Terraform, Ansible, Helm) and building automation to reduce operational overhead., • Networking Fundamentals: Solid understanding of networking concepts including IPAM, DNS, DHCP, VLAN/VXLAN, routing, load balancing, and experience troubleshooting network issues in production., • Observability & Monitoring: Experience building and maintaining comprehensive monitoring solutions using tools like Prometheus, Grafana, and centralized logging systems., • Reliability Practices: Understanding of SRE principles including SLIs/SLOs/SLAs, error budgets, incident management, and blameless postmortems., • Scripting & Automation: Strong scripting skills in Go, Python, or Bash for automation, tooling development, and operational efficiency., • Problem-Solving Under Pressure: Demonstrated ability to troubleshoot complex issues under pressure, manage incidents effectively, and communicate clearly during outages., • Collaboration & Communication: Excellent communication skills and ability to work across teams including systems engineers, network engineers, and software developers.Preferred Qualifications, • Experience building custom Kubernetes operators or controllers for infrastructure orchestration, • Deep familiarity with Kubernetes networking (Calico, Cilium, Multus), service mesh technologies, and network policy management, • Experience with GPU workload orchestration including NVIDIA GPU Operator, MIG, time-slicing, and device plugins, • Background with advanced Kubernetes features including custom schedulers, admission controllers, and API server extensions, • Experience with Kubernetes cluster federation or multi-cluster management, • Knowledge of high-performance networking technologies (InfiniBand, RDMA, RoCE) and their integration with Kubernetes, • Experience with enterprise storage systems (VAST, Lightbits, Ceph, or similar), • Familiarity with configuration management at scale and GitOps practices, • Understanding of security best practices for Kubernetes and bare-metal infrastructure, • Experience operating infrastructure in regulated industries or co-located data center environments, • Background supporting research institutions, technical computing environments, or enterprise AI infrastructureKey Technologies, • Kubernetes, Linux, Terraform, Ansible, Prometheus, Grafana, ELK Stack, Go, Python, Bash, NVIDIA GPU Technologies, High-Performance Networking, Enterprise Storage SystemsWhy Moonlite, • Build Critical Research Infrastructure: Your work will directly enable quantitative research teams and AI practitioners to push the boundaries of what's possible in financial modeling and AI research., • Enterprise Impact: Build and operate infrastructure that supports mission-critical research and AI workloads for leading financial institutions and research organizations., • Technical Excellence: Join an infrastructure team focused on delivering enterprise-grade reliability while pushing the boundaries of high-performance computing capabilities., • Hands-On Ownership: As part of our growing infrastructure team, you'll have significant ownership over critical systems and the autonomy to influence our operational practices and technology choices. #li-remote

Job Description Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large-scale model training, and demanding data processing workloads.We provide infrastructure deployed in our facilities or co-located in yours, delivering flexible on-demand or reserved compute that feels like an extension of your existing data center. Our team of AI infrastructure specialists combines bare-metal performance with cloud-native operational simplicity, enabling research teams and enterprises to deploy demanding AI workloads with enterprise-grade reliability and compliance. Your Role: You will be instrumental in building out our GPU-accelerated compute platform that powers distributed AI training and inference, large-scale simulations, and computational research workloads. Working closely with product, your platform team members, and infrastructure specialists, you'll design and implement the compute orchestration layer that manages GPU clusters, bare-metal provisioning, and resource scheduling-enabling researchers and engineers to programmatically access high-performance compute resources with cloud-like simplicity. Job Responsibilities • Compute Orchestration Systems: Design and build scalable compute orchestration platforms that manage GPU clusters, bare-metal server provisioning, and resource allocation across co-located infrastructure environments., • Resource Management & Scheduling: Implement intelligent workload scheduling, resource allocation, and optimization algorithms that maximize GPU utilization while maintaining performance guarantees for research and training workloads., • Research Cluster Provisioning: Design and implement systems for provisioning and managing research computing environments including Kubernetes and SLURM clusters, enabling automated deployment, resource scheduling, and workload orchestration for distributed AI training and HPC workloads., • GPU Platform Engineering: Develop platform capabilities for managing latest-generation NVIDIA GPU configurations (H100, H200, B200, B300), including GPU resource management, multi-tenant isolation, and integration with compute orchestration systems., • Bare-Metal Lifecycle Management: Build automation and tooling for complete bare-metal server lifecycle management – from initial provisioning and configuration through ongoing operations, updates, and resource reallocation., • Performance-Critical Systems: Optimize compute platform components for high-throughput and low-latency performance, ensuring research workloads achieve near-bare-metal efficiency in virtualized or containersized environments., • Platform APIs & Integration: Develop robust APIs and SDKs that enable researchers to programmatically provision and manage compute resources, integrating seamlessly with existing workflows and research infrastructure., • Observability & Monitoring: Implement comprehensive monitoring and telemetry systems for compute resources, providing visibility into GPU virtualization, workload performance and infrastructure health., • Multi-Tenancy and Isolation: Build enterprise-grade multi-tenant compute isolation, security boundaries, and resource quotas that enable safe sharing of GPU infrastructure across teams and organizations. Requirements, • Experience: 5+ years in software engineering with proven experience building compute platforms, container orchestration systems, or distributed compute infrastructure for production environments., • Compute Platform Engineering: Strong background in building compute orchestration, resource scheduling, or workload management systems at scale., • Kubernetes & Container Orchestration: Strong familiarity with Kubernetes architecture, container orchestration concepts, and experience deploying workloads in Kubernetes environments. Understanding of pods, deployments, services, and basic Kubernetes operations., • Programming Skills: Experience with Go, C/C++, Python, or Rust for performance-critical components is highly valued., • Linux & Systems Programming: Strong experience with Linux in production environments, including systems for programming, performance optimization, and low-level resource management., • Virtualization & Containers: Deep knowledge of virtualization technologies (KVM, Xen), container runtimes, and orchestration platforms., • GPU Computing Fundamentals: Understanding of GPU architectures, CUDA programming (where/when needed), and GPU resource management – or a strong ability to learn quickly., • Bare-Metal Infrastructure: Experience with bare-metal provisioning, out-of-band management systems, and hardware abstraction layers., • Problem-Solving & Architecture: Demonstrated ability to solve complex performance and scalability challenges while balancing pragmatic shipping with good long-term architecture., • Autonomy & Communication: Comfortable navigating ambiguity, defining requirements collaboratively, and communicating technical discussions through clear documentation., • Commitment to Growth: Growth mindset with continuous focus on learning and professional development.Preferred Qualifications, • Background provisioning or managing research computing environments (Kubernetes, SLURM, or HPC clusters), • Experience with GPU virtualization technologies (SR-IOV, NVIDIA vGPU) and multi-tenant GPU sharing, • Background in container orchestration platforms with custom scheduling or resource management, • Knowledge of high-performance networking for GPU communication (InfiniBand, RDMA, NVLink, NVSwitch), • Familiarity with AI/ML training frameworks (PyTorch, TensorFlow) and their infrastructure requirements, • Understanding of distributed training patterns and multi-node GPU coordination, • Experience building infrastructure for research institutions,labs, or technical computing environments, • Background in financial services or other regulated industry infrastructure is a plusKey Technologies, • Go, C/C++, Python, KVM, Docker, Kubernetes,, NVIDIA GPUDirect, SR-IOV, NVIDIA vGPU, CUDA, InfiniBand, RDMA, Terraform, FastAPI, gRPC, Linux systems programmingWhy Moonlite, • Build Next-Generation Infrastructure: Your work will create the platform foundation that enables financial institutions to harness AI capabilities previously impossible with traditional infrastructure., • Hands-On Ownership: As an early engineer, you'll have end-to-end ownership of projects and the autonomy to influence our product and technology direction., • Shape Industry Standards: Contribute to defining how enterprise AI infrastructure should work for the most demanding regulated environments., • Collaborate with Experts: Work alongside seasoned engineers and industry professionals passionate about high-performance computing, innovation, and problem-solving. #li-remote

Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit . About This Opportunity H2O.ai is redefining how enterprises move from data to decisions at enterprise speed. We are a pioneer in predictive AI, generative AI, Agentic AI, and Observability trusted by the world’s most sophisticated and regulated organizations to deploy secure, explainable, and production-grade AI at scale. We are seeking a Senior Enterprise Account Executive to join our growing global sales organization. This role is designed for a proven enterprise seller who thrives in complexity, creates opportunity where none existed, wins against formidable incumbents, and consistently delivers against ambitious revenue targets. You are fluent in enterprise buying motions, credible with senior executives, and passionate about translating advanced AI technology into clear, measurable business outcomes. You bring rigor to qualification, discipline to deal execution, and a relentless focus on net-new and expansion revenue. This is not a volume sales role. This is a strategic, consultative enterprise AI role at a moment when organizations are moving from AI experimentation to AI accountability. This position is based in Chicago, Illinois. What You Will Do • Own and manage a focused portfolio of large enterprise and Global 2000 accounts, developing and executing multi-year strategic account plans., • Build trusted relationships with C-level and senior executives, including Line-of-Business leaders, CIOs, CDOs, CTOs, and Heads of Data and AI., • Create, develop, and grow a high-quality pipeline across net-new logos and expansion opportunities within existing accounts., • Lead and orchestrate complex, end-to-end enterprise sales cycles, aligning Sales Engineering, Product, Partnerships, Customer Success, and Marketing., • Conduct high-impact discovery using value-based selling methodologies to uncover strategic business challenges and quantify ROI, risk reduction, and operational impact., • Clearly articulate and differentiate H2O.ai’s platform against incumbent and emerging AI competitors, positioning value at the business and economic level., • Design and execute thoughtful deal strategies, including stakeholder mapping, value justification, competitive positioning, partner leverage, and close planning., • Maintain accurate forecasting, disciplined pipeline management, and impeccable CRM hygiene., • Partner closely with Solution Engineering to demonstrate customer-specific AI value and outcomes. In this role, you will: • Co-sell and collaborate across the Data and AI ecosystem, including cloud, infrastructure, data platform, and AI partners., • Develop joint account strategies with partner sales teams to accelerate access, increase deal size, and expand deal scope., • Leverage OEMs, hyperscalers, neo-clouds, GSIs, regional SIs, and resellers to drive velocity, credibility, and enterprise adoption. What We Are Looking For • 7+ years of enterprise sales experience selling complex software platforms (AI, data, analytics, ML, or adjacent enterprise technology) into large enterprises., • A strong, credible enterprise executive network, with experience selling to senior technical and business stakeholders., • Proven ability to design, navigate, and close complex, multi-stakeholder transactions with long sales cycles., • Consistent track record of overachieving quota and winning competitive, high-value opportunities., • Strong qualification discipline (MEDDICC / MEDDPICC or similar), deal rigor, and forecasting accuracy., • Ability to thrive in ambiguous, fast-moving environments, bringing structure, clarity, and momentum to complex engagements., • Collaborative, ecosystem-oriented mindset with a strong sense of ownership., • Excellent executive-level communication skills (written, verbal, and presentation)., • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. #LI-Hybrid Powered by JazzHR yWkVxEwaaQ

The Model (Why Top Sales Professionals Join Us) At GHA Technologies, you don’t just close deals—you: ✅ Prospect and win new accounts ✅ Keep and grow those accounts for years ✅ Build a recurring, compounding income stream 👉 This starts as a hunting role 👉 Then becomes your own account portfolio and long-term income and asset growth! Financial Highlights – $5,000 Week One Training Pay and Hiring Bonus! $10k Fast Start Bonus Per Month for 12 months, $120k First Year, requires one new commercial account with at least 250 employees, every two weeks. $1000 per virtual or onsite appointment luncheon bonus Up to $3000 per week for meeting minimum call and one qualified onsite appointment. 200% of the profit margin for the first 90 days of orders shipped. 40% to 59% of the profit margin after 90 days Up to $10k new client account credits Up to $5k new account donation credits Up to $400 of gift cards for business building activities GHA Technologies, Inc. has become the #1 Employee-Owned Value-Added Reseller in America. Past rewards have included #1 Microsoft Western Region VAR, #1 fastest growing company in Arizona, #69 on the CRN Solution Provider 500, #15 2018 CRN Fast Growth 150 List. We sell the latest AI technologies from Nvidia, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, and Power Technologies! We also specialize in mission critical product procurement and integration services for some of the largest Corporate, Government, and Education clients in America! Our client base is a who's who of corporate America! GHA employee owners will receive stock shares every year on top of our industry’s leading commissions, bonuses, and promotional offerings! Mission critical, online, vast E Commerce distribution network coast-to-coast warehouse locations support just-in-time delivery. Super convenient, orders placed by 9:00 p.m. EST (8:00 p.m. CST) can be received the next morning for in-stock items. Secure, 24-hour access to your own personal portal customized with special pricing on more than 2 million top selling products from 3,500 manufacturers in the USA and across the globe. We are currently HIRING experienced Sales Professionals nationwide with a minimum of three years direct technology sales experience. We offer a highly lucrative earnings and benefits package with top salespeople earning between $96,000 to $2,000,000 annually. W-2 Employment, Medical, Dental, and HSA Benefits, 401K Retirement Plan, and GHA company stock ownership (ESOP) plan. Please email your resume to and schedule a strictly confidential interview. Visit us at:

Job Description Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large-scale model training, and demanding data processing workloads. We provide infrastructure deployed in our facilities or co-located in yours, delivering flexible on-demand or reserved compute that feels like an extension of your existing data center. Our team of AI infrastructure specialists combines bare-metal performance with cloud-native operational simplicity, enabling research teams and enterprises to deploy demanding AI workloads with enterprise-grade reliability and compliance. Your Role: You will be foundational to building our software-defined networking (SDN) platform that enables high-performance, isolated networking for distributed computing, model training, inference, and data-intensive workloads. Working closely with our network, infrastructure, and product teams, you'll design and implement the network orchestration and provisioning systems that manage DPU-accelerated networking, tenant isolation, and network lifecycle management – enabling researchers and engineers to access enterprise-grade networking with cloud-like simplicity. Job Responsibilities: • Software-Defined Networking Architecture: Collaborate with infrastructure to design and build scalable SDN orchestration systems leveraging NVIDIA Bluefield-3 DPUs to deliver programmable, high-performance networking for AI workloads with hardware-accelerated forwarding isolation., • Research Cluster Networking: Design and implement networking systems for research computing environments including Kubernetes and SLURM clusters, enabling high-performance connectivity, optimized network topology for distributed workloads, and seamless integration with cluster orchestration systems., • Network Provisioning & Lifecycle Management: Implement automated SDN provisioning systems that handle VPC creation, subnet allocation, routing configuration, and network resource lifecycle from deployment through decommissioning., • DPU Platform Engineering: Develop platform capabilities for managing Bluefield-3 DPUs including SR-IOV virtual function management, OVS offload configuration, network function deployment, and integration with compute orchestration systems., • Multi-Tenancy & Network Isolation: Build enterprise-grade network isolation using VPCs, VXLAN, and hardware-accelerated forwarding to ensure complete tenant separation while maintaining high-performance connectivity for GPU clusters and distributed workloads., • High-Performance Networking: Collaborate with infrastructure to optimize network paths for RDMA, RoCE, and GPU-to-GPU communication, ensuring minimal latency and maximum throughput for distributed training and large-scale computational workloads., • Network APIs & Integration: Develop robust APIs and SDKs for network resource management that integrate seamlessly with compute and storage platforms, enabling programmatic network provisioning and configuration., • Network Observability: Implement comprehensive network monitoring, telemetry, and troubleshooting systems that provide visibility into network performance, utilization, and tenant traffic patterns.Security & Policy Management: Build platform network security features including security groups, firewall rules, and policy enforcement that protect tenant workloads while enabling flexible network configuration.Requirements:, • Experience: 5+ years in software engineering with proven experience building network platforms, SDN systems, or network automation for production environments., • Kubernetes Networking & Container Orchestration: Strong familiarity with Kubernetes networking architecture, CNI plugins, service networking, and network policies. Understanding of pod networking, services, ingress, and how Kubernetes manages network resources., • Networking Expertise: Deep understanding of networking fundamentals including TCP/IP, VLANs, VXLAN, BGP, OSPF, routing protocols, and data center network architectures.Software-Defined Networking: Background in SDN concepts, network virtualization, overlay networks, and programmable networking technologies., • Programming Skills: Experience with Go and Python for performance-critical networking components and services is highly valued., • Linux Networking: Strong experience with Linux networking stack, including network namespaces, iptables/nftables, Open vSwitch, and kernel networking systems., • DPU & SmartNIC Experience: Familiarity with DPU/SmartNIC architectures (Bluefield, or similar), SR-IOV, hardware offload capabilities, and programmable networking hardware – or strong ability to learn quickly., • High-Performance Networking: Understanding of RDMA, RoCE, Infiniband, and low-latency networking requirements for distributed computing and GPU workloads., • Problem-Solving & Architecture: Demonstrated ability to solve complex networking performance and scalability challenges while balancing pragmatic shipping with good long-term architecture., • Autonomy & Communication: Comfortable navigating ambiguity, defining requirements collaboratively, and communicating technical decisions through clear documentation., • Commitment to Growth: Growth mindset with continuous focus on learning and professional development.Preferred Qualifications, • Background provisioning or managing networking for research computing environments (Kubernetes, SLURM, or HPC clusters), • Experience with NVIDIA Bluefield DPU programming and DOCA framework, • Background with network function virtualization (NFV) and service function chaining, • Knowledge of Kubernetes networking (CNI plugins, network policies, service mesh), • Experience building network control planes or SDN controllers, • Familiarity with network automation frameworks and infrastructure-as-code for networking, • Understanding of data center fabric architectures (spine-leaf, CLOS topologies), • Experience with network security and compliance requirements in regulated industries, • Background building networking for research institutions, HPC environments, or cloud providersKey Technologies, • Go, Python, NVIDIA Bluefield DPUs, Open vSwitch, VXLAN, SR-IOV, RDMA, RoCE, InfiniBand, BGP, Linux networking, Terraform, FastAPI, gRPCWhy Moonlite, • Build Next-Generation Infrastructure: Your work will create the platform foundation that enables financial institutions to harness AI capabilities previously impossible with traditional infrastructure., • Hands-On Ownership: As an early engineer, you'll have end-to-end ownership of projects and the autonomy to influence our product and technology direction., • Shape Industry Standards: Contribute to defining how enterprise AI infrastructure should work for the most demanding regulated environments., • Collaborate with Experts: Work alongside seasoned engineers and industry professionals passionate about high-performance computing, innovation, and problem-solving. #li-remote

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis. Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities. About the Role We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows. Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges Explore image representation in latent space for efficient, high-fidelity virtual staining Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap Collaboration Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches Required Qualifications PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising Expert proficiency in Python and PyTorch and other scientific computing environments a plus Strong mathematical foundation in linear algebra, probability, and optimization Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure) Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles Experience with feature search, data balancing, and data curation pipelines. Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment Extensive use of AI tools for coding, optimization, and ideation Preferred Qualifications Experience with medical imaging, digital pathology, or whole slide image (WSI) processing Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem Background in generative models and fine-tuning of foundation models Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton Experience with hosting computer vision model inference on NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility What We Offer The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.

Job Description About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review The Tetra Way authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. The Role The Scientific Solutions Partner is a new role born from a deliberate strategic choice: the most effective way to sell TetraScience’s Scientific Data and AI Cloud is to have one person who can credibly do both — win the scientific and technical confidence of the customer and manage the commercial relationship to close. No separate Account Executive needed. This is not a traditional Account Executive role with a presales overlay. The Scientific Solutions Partner owns the full customer engagement, from prospecting and discovery through technical solutioning, proof-of-concept, RFP response, and close — and remains accountable for the account’s health, expansion, and renewal alongside the Delivery Manager. Both roles share accountability for identifying and progressing expansion opportunities within their accounts. You will work with the world's largest enterprise biopharma, biotech, and life sciences companies, helping them understand how the Tetra Scientific Data Foundry and Tetra OS transforms siloed, raw scientific data into AI-ready scientific datasets across the medallion architecture (bronze → silver → gold → AI-native). You will engage audiences ranging from bench scientists and data engineers to CDOs, VPs of Divisional IT, VPs of Scientific areas, and digital transformation executives. TetraScience provides its SSPs with AI-powered tools — including Claude Cowork and Codex — that automate RFPs, triage, and contracting workflows, enabling each SSP to operate with the leverage of a larger team. What You’ll Do Scientific & Technical Engagement • Lead technical discovery: understand the customer’s current lab data landscape — instruments, data formats, informatics stack, and data science ambitions, • Design and present compelling solution architectures aligned to the customer’s specific scientific use cases (e.g., ADMET assays, FPLC/UPLC chromatography, bioassay data harmonization, AI training datasets) as well as understanding their core data management pain points and goals., • Always be leading with demo’s of actual software aligned to the customers main value levers., • Own and drive proof-of-concept and proof-of-value engagements, partnering with TetraScience scientific data architects to deliver credible, high-quality demonstrations of the Tetra Scientific Data Foundry’s capabilities, • Own RFP technical responses end-to-end, synthesizing platform capabilities, scientific use cases, and customer-specific requirements into compelling, accurate submissions, • Articulate the medallion data architecture in scientific and business terms: how bronze (raw scientific data), silver (harmonized Tetra Data), and gold (analysis-ready datasets) each create value, and how TetraScience’s AI-native layer accelerates scientific outcomes, • Prospect, qualify, and build territory pipeline in alignment with the TetraScience go-to-market strategy, • Relentlessly identify and close expansion opportunities across new labs, instruments, geographies, sites, and use cases within existing accounts, • Manage the full sales cycle from discovery through contracting, using modern sales methodologies (MEDDIC, MEDDPIC, Force Management, or similar), • Maintain a rigorous, accurate pipeline with consistent forecasting and visibility to leadership, • Build and expand relationships across the customer organization, from individual contributors to executive sponsors, • Identify and close expansion opportunities across new labs, instruments, geographies, sites, and use cases within existing accounts, • Represent TetraScience at industry conferences, seminars, and customer events as a scientifically credible voice, • Contribute customer and market insights back to product, marketing, and science teams to inform roadmap and messaging, • Help develop compelling content — case studies, solution briefs, demo narratives — that advances the category Requirements What You Bring • Advanced degree in a life science, chemistry, or engineering discipline preferred MS or PhD); equivalent practical experience considered, • 7+ years of combined scientific, technical, and commercial experience in life sciences software, laboratory informatics, scientific data infrastructure, or adjacent domains, • Direct experience in pharma, biotech, or CRO/CDMO environments — either as a scientist, scientific software professional, or sales/solutions professional serving these customers, • Demonstrated ability to lead technical sales cycles in enterprise SaaS or scientific software, including POC design and execution and RFP ownership, • Deep familiarity with laboratory workflows and data: you understand what it means when a customer has 50 instruments generating unstructured data that no one can analyze, • Fluency with scientific data concepts: file formats, instrument connectivity, data harmonization, and the path from raw data to AI-ready datasets, • Experience with modern sales methodologies (MEDDIC, MEDDPIC, Force Management, or similar), • Strong executive presence — equally compelling in a whiteboard architecture session and a C-suite business case conversation, • Proficiency with CRM and digital sales tools (Salesforce, LinkedIn Sales Navigator, ZoomInfo, SalesLoft, or equivalent), • 100% employer-paid benefits for all eligible employees and immediate family members, • Unlimited paid time off (PTO), • 401K, • Company paid Life Insurance, LTD/STD

Job DescriptionOverview The Principal Architect leads HPC AI focused Professional Services delivery engagements and cross functional technical teams on customer programs or projects. They are responsible for technical communications with Engineers, Architects, and the customer for AI-driven projects. The Principal Architect may participate in several Customer projects concurrently, integrating AI solutions with enterprise IT systems. Role Summary The Principal Architect will be at the epicenter of the AI revolution, working with the most advanced hardware on the planet. Whether you're helping a research facility unlock new scientific breakthroughs or an enterprise to build its first private AI cloud, your fingerprints will be on the infrastructure that defines the next decade of technology. The right person for the job is a senior individual contributor responsible for designing, implementing, and optimizing large-scale High-Performance Computing and AI platforms centered on the NVIDIA data center ecosystem. This role operates in a hybrid capacity, combining hands-on technical architecture with selective customer-facing advisory responsibilities. The architect serves as a technical authority across GPU-accelerated compute, high-performance networking, and modern parallel storage platforms, influencing architectural standards and delivery outcomes while ensuring successful, on-time, and on-budget customer deployments without escalations. This is a remote work from home position, with an average travel expectation of approximately 10%, and a willingness for additional travel during peak project phases or critical customer engagements. Key Responsibilities Architecture and Design • Lead the end-to-end architecture of GPU-accelerated HPC and AI platforms, including greenfield AI factory designs and optimization of existing HPC environments., • Architect integrated solutions spanning Compute, Networking, and Storage using NVIDIA HGX and DGX platforms, Grace CPU architectures, Spectrum-X networking, and high-performance parallel storage systems., • Design storage architectures optimized for AI training, inference, and HPC workloads, balancing performance, scalability, resiliency, and cost., • Provide hands-on technical leadership during implementation phases, including cluster bring-up, performance tuning, and workload optimization., • Architect and integrate workload orchestration and scheduling platforms using NVIDIA Base Command Manager, Slurm, Kubernetes and Run:AI., • Optimize end-to-end data pipelines, including GPU utilization, storage throughput, metadata performance, and job scheduling efficiency., • Design and validate high-performance storage solutions using modern parallel and scale-out storage platforms., • Demonstrate hands-on experience with at least one of the following storage technologies, • VAST Data, • WEKA, • DDN, • Lustre, • NetApp, • Architect storage solutions that support demanding AI and HPC workloads, including high-throughput training pipelines, checkpointing, and large-scale shared datasets., • Act as a senior technical authority for HPC and AI architecture across internal teams and customer engagements., • Participate selectively in customer-facing discussions to validate architecture and delivery plans, with a primary focus on design integrity and execution rather than pre-sales., • Identify technical risks early across Compute, Networking, Storage, and orchestration layers, and drive mitigation strategies., • Partner with the PMO counterpart to resolve Risks and Issues upon identification and to ensure production-ready, supportable platforms., • Ensure staff, contractors, and partners adhere to best practices and templates for AI solution delivery. Core Mastery Areas • Expert level with deep architectural knowledge of NVIDIA data center platforms, including HGX and DGX platforms., • GPU-accelerated compute architecture for AI and HPC workloads., • High-performance networking architectures, especially with Spectrum-X., • Hands-on architectural experience with high-performance parallel or scale-out storage systems., • Deep understanding of storage performance characteristics relevant to AI and HPC workloads, including bandwidth, IOPS, latency, and metadata scaling., • NVIDIA Base Command Manager (BCM) for cluster lifecycle management and operations., • Slurm for HPC workload scheduling and resource management., • Run:AI for GPU orchestration and multi-tenant AI workload optimization., • Kubernetes administration including deploying and managing GPU-accelerated AI and HPC workloads., • Linux systems administration in large-scale, performance-sensitive environments., • Experience optimizing existing HPC or AI platforms for performance, utilization, and cost efficiency., • Prior experience with multi-site, air-gapped, or regulated environments is beneficial but not required., • Senior individual contributor role with influence through technical authority rather than people management., • Ability to mentor engineers and architects through design reviews, architectural guidance, and technical leadership., • Develop and maintain high quality architectural documentation, including design blueprints, configuration guides, deployment validation reports, and operational runbooks., • Ensure all technical artifacts meet One Voice standards for clarity, completeness, and technical accuracy, enabling consistent delivery across teams., • Create reusable templates, reference architectures, and standardized design patterns that accelerate future projects and improve delivery quality., • Bachelor’s degree in a technical field or equivalent hands-on experience architecting large scale HPC or AI systems on experience architecting large scale HPC or AI systems., • Advanced degree (MS/PhD) in relevant fields is a plus but not required., • Experience: 10+ years in HPC, Data Center Architecture, and/or Systems Engineering., • Bare Metal Focus: A fundamental preference for, and understanding of, on-premises hardware constraints (power, cooling, cabling)., • Proven experience as a Senior, or Lead Architect or equivalent experience in AI projects. 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Job DescriptionCareer Renew is recruiting for one of its clients a Solutions Engineer - Media Generation - this is a fully remote role for US-based candidates. Salary range: 100-150K USD plus benefits plus equity. We are the leading independent AI benchmarking and insights company. We support engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don't just measure the cutting edge of AI, they are actively shaping the frontier. Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist. We are a team of 30+, on track to double by mid-year, backed by Nat Friedman (Github, Meta), Daniel Gross (SSI), Andrew Ng (Google Brain, Deeplearning.ai, Amazon), Adam D’Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders. We’re hiring a Solutions Engineer to manage our media generation benchmarking pipeline. You’ll run image and video generation evaluations, manage human preference studies, and serve as a technical point of contact for media generation model providers. This is a process-driven, operational role suited to someone who is detail-oriented, comfortable with Python, and can manage pipelines reliably day-to-day. What You’ll Do * Generate image and video outputs across models according to standardized evaluation protocols * Set up and manage human preference evaluation studies, including study design, participant management, and quality control * Process and analyze preference vote data to produce benchmark results * Manage the end-to-end pipeline: from prompt execution through to published results * Serve as a technical point of contact for media generation model providers — communicating results, explaining methodology, and handling queries * Monitor data quality, flag anomalies, and ensure consistency across evaluation rounds * Maintain documentation of processes and configurations * Stay current with new image and video model releases Tech stackPython Requirements: 3+ years of experience in a technical, client-facing role such as support engineering (Mandatory) Proficient in Python scripting and working with APIs (Mandatory) Background in data analysis, research operations, or other process heavy roles (Mandatory) Experience with AI, particularly image/video generation models (Nice-to-have) Comfortable in a purely operational/execution-focused role, not a builder role (Mandatory)

Job Description Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. Open Role: Graduate Partner Marketing Manager Marketers at Canonical are brand stewards and demand creators.They transform complex open-source technology into messages, stories and strategies that shape the market understanding of our vision. Some focus on differentiated product and portfolio positioning; others specialize in account-based engagement, partner and alliance messaging, or product-led growth. Whatever their specialization, each marketer works as part of a cross-functional unit, contributing campaigns and insights that help the company learn and grow faster. We have a bias for action, focus efforts on the most impactful activities and take ownership of our results. We work across long buying cycles, balance storytelling with data, design experiments, track outcomes, and iterate rapidly to find what works. Marketers at Canonical don't just promote open source; they amplify it, ensuring our innovations reach the right people, at the right time, with clarity and purpose from developers to decision makers. As a Graduate Partner Marketing Manager, you aren't just running campaigns; you are architecting the strategic relationships that drive our business forward. You will collaborate with the titans of tech: • Public cloud: AWS, Google, Microsoft, Oracle., • Silicon: NVIDIA, Intel, Arm, Qualcomm, AMD. We are specifically looking for recent graduates who are serious about their success and ready to make a global impact. At Canonical, we prioritize talent and potential over years of experience; we will teach you the technical and commercial nuances of the open-source world through our structured career journey program. You will gain experience working with top tier talent and with multiple enterprise technologies. If you have the drive and a high standard for excellence, we provide the platform for you to become a world-class marketing leader. Location: This role will be based remotely in the Americas region and will report to the Partner Marketing Team Manager. Your impact • Architect joint success: Build high-velocity go-to-market plans with global partners, moving from initial messaging to full-scale pipeline generation., • Launch at scale: Lead integrated campaigns, industry announcements, and product launches that reach everyone from developers to C-suite decision-makers., • Creative packaging: Translate cutting-edge tech in the open-source world into educational and marketing content that resonates., • Ecosystem evolution: Shape and scale our partner programs to keep pace with an ever-expanding network of hardware vendors, software vendors, and channel resellers.What we're looking for, • The marketing basics: You understand how marketing works (especially within enterprises) and have familiarity with common marketing platforms, social media, and business technology., • The relationship builder: You can navigate complex and dynamic organizations and build lasting rapport., • The analytical thinker: You obsess over value and use data to decide which experiments to scale and which to iterate. Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner. • Fully remote working environment - we've been working remotely since 2004!, • Personal learning and development budget of 2,000USD per annum, • Annual compensation review, • Recognition rewards, • Annual holiday leave, • Parental Leave, • Employee Assistance Programme, • Opportunity to travel to new locations to meet colleagues at 'sprints' Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Job Description Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are seeking a Staff / Principal ML Ops Engineer to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization. You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are robust, efficient, automated, and production-grade. This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution. What Youll Do • Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring., • Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters., • Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows)., • Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost)., • Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models., • Collaborate with researchers to productionize models and accelerate training/inference pipelines., • Establish ML Ops best practices, internal standards, and cross-team tooling., • Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected)., • Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure)., • Proficiency with Python and familiarity with TypeScript or Go for platform integration., • Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding), • Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling)., • Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries., • Experience deploying and operating LLMs and generative models in production at enterprise scale., • Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code., • Experience optimizing GPU clusters, scheduling, and distributed training frameworks., • Prior startup experience or comfort operating with ambiguity and high ownership., • Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions., • Customer impact: Deploy AI solutions powering Fortune 500 clients., • Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding in 2026., • Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale., • Culture & autonomy: Own critical systems while collaborating with world-class engineers., • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision

Financial Highlights – Enjoy an Immediate Pay Raise and Professional Growth! $10k Fast Start Bonus Per Month for 12 months, $120k First Year, requires one new commercial account with at least 250 employees, every two weeks. $2,500 First Week Training Pay for the first five training days. $500 per virtual appointment bonus with food with no bonus limit. Up to $1500 per week for meeting minimum call and one qualified onsite appointment. 200% of the profit margin for the first 90 days of orders shipped. 40% to 59% of the profit margin after 90 days Up to $10k new client account credits Up to $5k new account donation credits Up to $400 of gift cards for business building activities GHA Technologies, Inc. has become the #1 Employee-Owned Value-Added Reseller in America. Past rewards have included #1 Microsoft Western Region VAR, #1 fastest growing company in Arizona, #69 on the CRN Solution Provider 500, #15 2018 CRN Fast Growth 150 List. We sell the latest AI technologies from Nvidia, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, and Power Technologies! We also specialize in mission critical product procurement and integration services for some of the largest Corporate, Government, and Education clients in America! Our client base is a who's who of corporate America! GHA employee owners will receive stock shares every year on top of our industry’s leading commissions, bonuses, and promotional offerings! Mission critical, online, vast E Commerce distribution network coast-to-coast warehouse locations support just-in-time delivery. Super convenient, orders placed by 9:00 p.m. EST (8:00 p.m. CST) can be received the next morning for in-stock items. Secure, 24-hour access to your own personal portal customized with special pricing on more than 2 million top selling products from 3,500 manufacturers in the USA and across the globe. We are currently HIRING experienced Sales Professionals nationwide with a minimum of three years direct technology sales experience. We offer a highly lucrative earnings and benefits package with top salespeople earning between $96,000 to $2,000,000 annually. W-2 Employment, Medical, Dental, and HSA Benefits, 401K Retirement Plan, and GHA company stock ownership (ESOP) plan. Please email your resume to and schedule a strictly confidential interview. Visit us at:

Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit . About This Opportunity We are looking for a Senior Sales Engineer - AI to join our team. In this role, you’ll combine deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills to help enterprise customers design, adopt, and scale AI using the H2O.ai platform. You’ll work hand-in-hand with Sales, Product, and Customers - leading technical discovery, designing architectures, running demos and pilots, and guiding customers through their end-to-end AI journey. This position is based in Chicago, Ilinois. What You Will Do • Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals., • Execute high-impact proof of value that moves beyond technical feasibility to demonstrate ROI, such as cost per token or measurable accuracy gains in production using H2O AI Enterprise Platform: Predictive, Generative, and Agentic AI, • Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector)., • Showcase hands-on expertise with LLMs: fine-tuning, evaluations, RAG, and Agentic pipelines., • Design and build sophisticated Agentic Workflows, beyond simple RAG to multi-agent systems that can reason, use tools, and execute complex business logic autonomously., • Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem., • Architect integrated solutions that leverage the full H2O stack: using Driverless AI for predictive features, h2oGPTE for unstructured data synthesis, • Guide customers on MLOps, Kubernetes deployments, CI/CD integration, monitoring, and governance to ensure their applications are production-ready., • Work closely with Product Management to influence the product roadmap based on customer and field insights., • Contribute to thought leadership by creating solution blueprints, best practices, and reusable assets; represent H2O.ai at events, roundtables, webinars, and conferences.What We Are Looking For, • 5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms., • Hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms., • Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration., • Master the art of technical storytelling, the ability to whiteboard a complex Kubernetes deployment for an IT Director, then pivot to explaining the risk-mitigation benefits of 'Guardrails' to a Chief Risk Officer., • Excellent presentation and communication skills: confident in front of C-level executives and technical teams., • Experience with H2O.ai products or similar enterprise AI/ML platforms is a plus., • Willingness to travel up to 50% to support strategic accounts.How to Stand Out, • Experience running POCs, pilots, and executive workshops that accelerate AI adoption., • Familiarity with enterprise security, compliance, and governance in AI deployments., • Demonstrated thought leadership (talks, blogs, open-source contributions)., • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. #LI-Hybrid Powered by JazzHR yWz5L0LvLU

Job Description At Infleqtion we solve the world’s most challenging problems using cutting-edge quantum technology. Our mission is to commercialize atom-based quantum products that provide orders of magnitude improvements in sensing and computing applications. We are proud to work tirelessly to create and lead the quantum ecosystem towards meaningful advancements today and set the technology roadmap for tomorrow. POSITION SUMMARY Within Infleqtion’s Computing Product Group (CPG), the Hardware Engineering Team is seeking a Senior Embedded Software Engineer to own and deliver high‑performance embedded and systems software enabling real‑time quantum error correction and classical control at scale. This role focuses on integrating NVIDIA high‑speed interconnects with quantum error‑correction decoding pipelines, in close collaboration with quantum software, physics, and hardware teams. This position is scoped as a senior‑level individual contributor role: the engineer independently owns complex subsystems end‑to‑end within an established architecture, solves technically hard problems, interacts directly with external partners, and mentors developing engineers, without defining long‑term platform architecture. The engineer will also serve as a point-of-contact (POC) for subsystem hardware integration with NVidia’s NVQLink. JOB RESPONSIBILITIES Typically, you will be entrusted with: • Independently design, implement, validate, and maintain embedded and systems‑level software subsystems supporting real‑time quantum error correction and control., • Translate quantum error‑correction requirements (code distance, syndrome rates, latency budgets) into concrete classical compute, memory, and interconnect requirements., • Design systems that meet deterministic latency, bandwidth, and reliability requirements across CPU, GPU, FPGA, and high‑speed interconnect domains., • Serve as the technical point‑of‑contact for NVIDIA NVQLink integration, including topology, bandwidth modeling, latency characterization, and failure modes. Involves direct interaction with NVIDIA personnel as well as HPC experts in academia and US national labs., • Collaborate closely with Quantum Software, Physics, Electrical, and Systems Engineering to co‑design hardware/software interfaces., • Troubleshoot and resolve complex performance, scaling, and integration issues spanning firmware, drivers, OS (Embedded Linux / bare-metal environments), GPU runtimes, and hardware., • Develop and maintain validation infrastructure, performance benchmarks, and test harnesses for deterministic behavior and scaling. WE HOPE YOU HAVE: • A degree (PhD preferred) in Computer Engineering, Electrical Engineering, Computer Science, or related field with experience in high-performance computing (HPC)., • Demonstrated experience owning complex embedded or systems‑level software subsystems end‑to‑end., • Strong experience with C/C++ in performance‑critical systems., • Experience debugging across software and hardware boundaries (drivers, firmware, interconnects, timing)., • Solid understanding of computer architecture fundamentals (memory hierarchies, interconnects, latency vs throughput tradeoffs)., • Experience with hardware/software co‑design for quantum control systems, • Experience working in Linux‑based embedded or HPC environments., • High‑performance computing (HPC) systems design or deployment., • Familiary with NVIDIA CUDA-Q, • Direct experience with NVIDIA Holoscan Sensor Bridge, RDMA over Converged Ethernet, or similar high‑speed coherent interconnects., • Experience supporting or developing error‑correction decoding pipelines (quantum or classical)., • Background similar to advanced academic research groups in quantum architectures or decoding (e.g., large‑scale syndrome decoding research)., • Experience performance‑modeling compute systems as a function of problem size and algorithmic complexity., • Exposure to FPGA‑accelerated or heterogeneous compute systems., • Detail-oriented mindset with a strong sense of ownership and technical accountability., • Job responsibilities and requirements are illustrative, other responsibilities may be assigned as needed. Up to 10% travel may be required. WORKING CONDITIONS and PHYSICAL REQUIREMENTS Work will normally be performed in an office and laboratory environment and around technical equipment including computers and lasers. Able to sit, stand, bend, lift and carry up to 40 pounds without assistance. Able to efficiently use automated office equipment such as laptops, copiers, and printers; able to effectively engage in communications (via phone, computer, or in-person). Any required Personal Protective Equipment will be provided and must be properly used in accordance with company requirements. Benefits The targeted salary range for this role is $140,000 to $175,000 on an annualized basis plus eligibility to participate in our annual incentive plan. In addition to your base compensation, we offer a generous Total Rewards program which includes: • 100% company paid Employee coverage for Medical, Dental, Vision, and Short/Long Term Disability insurance programs, • Employer funded Health Savings Account, • Unlimited Paid Time Off, • 401(k) Matching Programs, • Company paid Life and AD&D Insurance, • Flexible Healthcare Savings Account, • Paid FMLA Leave, • Paid Maternity/Paternity Leave, • Employer Assistance Program, • Student Loan Repayment Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin color, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. Contact Information If this opportunity interests you and you fit the job description, please submit an application. If you need assistance or an accommodation due to disability, please feel free to contact us at .

Job DescriptionFieldAI is transforming how robots interact with the real world. We build risk-aware, reliable, field-ready AI systems that take on some of the hardest problems in robotics and unlock the potential of embodied intelligence. Rather than relying solely on off-the-shelf, purely data-driven approaches or transformer-only architectures, we take a pragmatic path that combines cutting-edge research with real-world deployment. Our systems are already deployed globally, and we continuously improve performance through rapid iteration informed by real field use. In San Francisco, our team focuses on bringing FieldAI’s technology to customers through sales, customer success, and solutions engineering. We partner closely with customers to understand their operational needs, translate real-world challenges into deployable robotics solutions, and support successful adoption in complex, unstructured environments. We are looking for a Senior Customer Success Manager to own strategic customer relationships across our construction accounts and help ensure successful adoption of FieldAI’s technology in the field. This role is equal parts relationship management, operational problem-solving, and cross-functional execution. You will serve as a trusted partner to customers, helping them navigate deployments, drive adoption, resolve issues, and realize measurable value from our robotics platform. This is an opportunity for someone who thrives in highly dynamic customer environments and wants to play a visible role in scaling customer success at a frontier robotics company. The right person will be energized by building deep customer partnerships, solving complex operational challenges, and acting as the voice of the customer internally as FieldAI expands across the construction market. What You’ll Do • Serve as the primary point of contact for strategic construction customers and build strong, trusted relationships over time, • Drive successful onboarding, adoption, and long-term account health across customer deployments, • Develop a deep understanding of each customer’s operational goals, workflows, and success criteria, • Partner closely with sales, solutions, engineering, and product teams to coordinate customer needs and deliver effective outcomes, • Proactively identify risks, resolve issues quickly, and drive clear communication during high-priority situations, • Track account health, usage, milestones, and customer feedback to improve retention and expansion, • Identify opportunities for growth, upsell, and expanded use cases within existing accounts, • Advocate for customer needs internally and help shape product and process improvements based on field feedback, • Help build the playbook for how FieldAI supports and grows enterprise customers in constructionWhat You Have, • 7+ years of experience in customer success, account management, support, or other customer-facing roles, • Experience managing strategic or enterprise accounts in construction, industrial, enterprise software, or other operationally complex environments, • Strong relationship management skills and the ability to build credibility with customer stakeholders, • Excellent verbal and written communication skills, including the ability to manage executive-facing conversations, • Strong problem-solving instincts and comfort navigating ambiguity in fast-moving environments, • Experience coordinating cross-functional teams to deliver customer outcomes, • Ability to identify expansion opportunities while maintaining a strong customer-first mindset, • Strong organizational and project management skills with attention to detail and follow-through, • Analytical skills and comfort using data to assess account health and inform decisions

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Why Become a Shopper with DoorDash?.Turn your shopping skills into extra income.Whether you’re helping someone stock up on groceries or delivering a last-minute convenience order, as a Shopper you unlock more earnings opportunities with DoorDash.Stay active during off-peak hours and no need to

Why Become a Shopper with DoorDash?.Turn your shopping skills into extra income.Whether you’re helping someone stock up on groceries or delivering a last-minute convenience order, as a Shopper you unlock more earnings opportunities with DoorDash.Stay active during off-peak hours and no need to

Why Become a Shopper with DoorDash?.Turn your shopping skills into extra income.Whether you’re helping someone stock up on groceries or delivering a last-minute convenience order, as a Shopper you unlock more earnings opportunities with DoorDash.Stay active during off-peak hours and no need to

Why Become a Shopper with DoorDash?.Turn your shopping skills into extra income.Whether you’re helping someone stock up on groceries or delivering a last-minute convenience order, as a Shopper you unlock more earnings opportunities with DoorDash.Stay active during off-peak hours and no need to

Why Become a Shopper with DoorDash?.Turn your shopping skills into extra income.Whether you’re helping someone stock up on groceries or delivering a last-minute convenience order, as a Shopper you unlock more earnings opportunities with DoorDash.Stay active during off-peak hours and no need to

Why Become a Shopper with DoorDash?.Turn your shopping skills into extra income.Whether you’re helping someone stock up on groceries or delivering a last-minute convenience order, as a Shopper you unlock more earnings opportunities with DoorDash.Stay active during off-peak hours and no need to

Why Become a Shopper with DoorDash?.Turn your shopping skills into extra income.Whether you’re helping someone stock up on groceries or delivering a last-minute convenience order, as a Shopper you unlock more earnings opportunities with DoorDash.Stay active during off-peak hours and no need to

Why Become a Shopper with DoorDash?.Turn your shopping skills into extra income.Whether you’re helping someone stock up on groceries or delivering a last-minute convenience order, as a Shopper you unlock more earnings opportunities with DoorDash.Stay active during off-peak hours and no need to

Why Become a Shopper with DoorDash?.Turn your shopping skills into extra income.Whether you’re helping someone stock up on groceries or delivering a last-minute convenience order, as a Shopper you unlock more earnings opportunities with DoorDash.Stay active during off-peak hours and no need to

Why Become a Shopper with DoorDash?.Turn your shopping skills into extra income.Whether you’re helping someone stock up on groceries or delivering a last-minute convenience order, as a Shopper you unlock more earnings opportunities with DoorDash.Stay active during off-peak hours and no need to

Why Become a Shopper with DoorDash?.Turn your shopping skills into extra income.Whether you’re helping someone stock up on groceries or delivering a last-minute convenience order, as a Shopper you unlock more earnings opportunities with DoorDash.Stay active during off-peak hours and no need to

Why Become a Shopper with DoorDash?.Turn your shopping skills into extra income.Whether you’re helping someone stock up on groceries or delivering a last-minute convenience order, as a Shopper you unlock more earnings opportunities with DoorDash.Stay active during off-peak hours and no need to

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Why Become a Shopper with DoorDash?.Turn your shopping skills into extra income.Whether you’re helping someone stock up on groceries or delivering a last-minute convenience order, as a Shopper you unlock more earnings opportunities with DoorDash.Stay active during off-peak hours and no need to

Why Become a Shopper with DoorDash?.Turn your shopping skills into extra income.Whether you’re helping someone stock up on groceries or delivering a last-minute convenience order, as a Shopper you unlock more earnings opportunities with DoorDash.Stay active during off-peak hours and no need to

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