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Sprout is a global IT hardware retirement provider for hyperscaler and enterprise clients. We leverage a nationwide footprint (and international partner network) combined with proprietary software to enable efficient end-to-end IT asset disposition (ITAD) with a focus on data bearing devices from the client to the cloud. The company is headquartered in Charlotte, NC with additional operations near Sacramento, Dallas, and Boston. Sprout provides software and services to clients in the form of our IT Asset Disposition, Certified Destruction, and Responsible Recycling solutions. Since our founding as an electronic waste startup from a Duke University dorm room in 2014, we have been expanding at an average rate of >66% each year. By adhering to our 3 values (One Sprout, Deliver Excellence, and Integrity Matters), we are proud of our culture to move at #SproutSpeed to become the emerging leader in our industry. For more information, please visit: . We are seeking a detail-oriented and technically skilled Server Systems Configuration Technician to join our team. This role is responsible for rebuilding, configuring, staging, and testing enterprise server hardware prior to deployment. The ideal candidate has hands-on experience working with rack-mounted servers, storage systems, and high-performance AI infrastructure platforms such as Dell and NVIDIA-based systems. This position requires strong technical aptitude, precision, and the ability to follow structured build processes in a fast-paced lab or warehouse environment. Key Responsibilities • Rebuild, refurbish, and configure enterprise-grade servers to customer specifications, • Disassemble and reassemble rack-mounted servers including component replacement and upgrades, • Configure AI and GPU-based servers, including Dell PowerEdge platforms and NVIDIA GPU systems, • Install and configure GPUs (A100, H100, RTX series, etc.), high-capacity RAM, NVMe storage, and RAID arrays, • Perform BIOS, iDRAC, firmware, and system controller updates, • Install and configure operating systems (Windows Server, Linux distributions such as Ubuntu, RHEL, or CentOS), • Configure RAID controllers, storage arrays, and network interfaces, • Conduct hardware diagnostics, stress testing, and burn-in testing for validation, • Verify GPU recognition, driver installation, and CUDA/NVIDIA software stack configuration, • Perform cable management and rack integration, • Image systems and apply standardized deployment templates, • Document hardware configurations, serial numbers, asset tags, and testing results, • Troubleshoot hardware compatibility issues and replace defective components, • Follow ESD safety protocols and hardware handling standards, • Collaborate with engineering teams on custom AI server builds and performance requirements Required Qualifications • High school diploma or equivalent (Associate’s degree in IT or related field preferred), • 2+ years of hands-on experience building or configuring enterprise servers, • Experience working with Dell PowerEdge or similar enterprise hardware platforms, • Familiarity with NVIDIA GPU hardware and AI server environments, • Working knowledge of Linux server environments, • Understanding of RAID configurations, storage technologies (SAS, SATA, NVMe), and networking fundamentals, • Ability to interpret technical build sheets and hardware diagrams, • Strong troubleshooting and hardware diagnostic skills, • Ability to lift up to 50 lbs and work in a warehouse, lab, or rack environment Preferred Qualifications • Experience with AI infrastructure or high-performance computing (HPC) systems, • CompTIA A+, Network+, Server+, or similar certification, • Experience with virtualization platforms (VMware, Proxmox, Hyper-V), • Familiarity with CUDA, NVIDIA drivers, and GPU firmware updates, • Experience performing server refurbishments or asset recovery projects EEO The Company is an equal opportunity employer and does not discriminate on the basis of and all qualified applicants will receive consideration for employment without regard to race, creed, color, sex, affectional or sexual orientation, gender identity or expression, gender, ethnicity, religion, national origin, ancestry, nationality, age, disability, marital status, veteran status, genetic information, or on any other basis prohibited by law (except where an attribute is a bona fide occupational qualification)

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:

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:

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About This Role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. What You’ll Be Working On: • Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+)., • On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues., • Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools., • Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing., • Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery., • Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures., • Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs). What You’ll Bring to the Team: • Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience., • Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments., • Version Control: Proficiency with Git for code management and collaboration., • Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments., • Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana)., • Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP)., • Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations., • HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN). Bonus Points: • Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator., • Cloud Expertise: Deep understanding of specific cloud platforms and services., • Automation Skills: Experience with automation tools and scripting languages., • Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions., • Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues., • Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: • Industry competitive pay, • Restricted Stock Units in a fast growing, well-funded technology company, • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents, • Employer contributions to HSA accounts, • Paid Parental Leave, • Paid life insurance, short-term and long-term disability, • Teladoc, • 401(k) with a 100% match up to 4% of salary, • Generous paid time off and holiday schedule, • Cell phone reimbursement, • Tuition reimbursement, • Subscription to the Calm app, • MetLife Legal, • Company paid commuter benefit; $300 per pay period Compensation: Compensation will be paid between $125,000 and $151,000 + Bonus. Restricted Stock Units are included in all offers. Salary will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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 Dallas, Texas. 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)., • Bachelor’s degree required. Why H2O.ai? • 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 9tLNbyxQ1P

Job DescriptionWe're Topaz Labs, an AI tech company that builds one-click image and video quality software with deep learning. Over 1M photographers and designers trust us with their work, including on teams at Apple, Netflix, NASA, and more. We've processed over 1 billion images, achieved 1000% revenue growth in the last 4 years, and we're only getting started. We're looking for a smart and motivated Product Specialist to: • Rocketship growth and opportunity for impact ($3M → $48M revenue in six years), • Over 1 million customers (including companies like Nvidia, Nasa, Google) have used us for over 1 billion photos. Our tech has been covered by Fast Company, The Verge, Engadget, Mashable, BBC, and more, • World-class team that executes quickly, obsesses about the customer experience, and promotes from within, • Profitable company with infinite runwayAbout you, • You're a videographer, editor, designer, or artist that would use our software, • Familiarity with Video AI or other Topaz Labs products is a plus, but not necessary, • Knowledge of colorspace and video file types is a plus, • You have an unusually strong work ethic, • You think from first principles and focus on the core issues, • You have excellent writing, • Comfortable with/similar types of software such as:, • Premiere, After Effects, Photoshop, Davinci Resolve, Fusion, Vegas, Natron, Final Cut, Nuke, etc.Portfolio:, • Written documentation examples & editing/compositing reelNice to have: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 at a defining moment in the enterprise AI market. As organizations move from experimentation to production-scale predictive, generative, and agentic AI, the need for trusted, sovereign, enterprise-grade AI platforms has never been greater. We are hiring a VP of Sales Engineering for the Americas to lead the most strategic region for H2O.ai, driving technical win strategy across North America and LATAM, and shaping how enterprise AI is adopted at scale. This role is the technical backbone of our go-to-market engine and a key partner to the CRO, Sales, Product, and Engineering leadership. This position is based in Dallas, Texas. What You Will Do Lead the Americas SE Organization • Build, scale, and lead a high-performance Sales Engineering team across North America and LATAM, • Establish a culture of technical excellence, urgency, and accountability, • Design the operating model to support enterprise-scale deal velocity and complexityOwn the Technical Win Strategy for the Americas, • Drive KPIs across the region: win rates, POV/POC conversion, deal cycle velocity, and expansion influence, • Build repeatable frameworks for enterprise POVs tied to measurable business outcomes, • Partner with Sales leadership on territory design, deal strategy, and pipeline qualityBe the Executive Technical Advisor, • Engage directly with LOB’s, CIOs, CTOs, CDOs, and AI leaders at Fortune 500 organizations, • Translate AI capabilities into clear, quantified business impact, • Lead the technical strategy for our largest and most complex dealsArchitect Enterprise AI at Scale, • Guide customers across:, • Data ingestion and pipelines, • ML and LLM development, • RAG and agentic workflows, • Production deployment and observability, • Support architectures across cloud, hybrid, and fully air-gapped environmentsDrive Competitive Differentiation, • Equip the field to win on performance, trust, and enterprise readinessShape Product and Market Direction, • Act as the voice of the customer for the Americas, • Influence Product and Engineering based on real-world enterprise needs, • Ensure tight alignment between field execution and platform evolutionDrive Expansion and Long-Term Value, • Partner with Customer Success to ensure adoption, expansion, and retention Required • 12+ years in Sales Engineering, Solutions Architecture, or technical GTM leadership in AI/ML or enterprise software, • 5+ years leading and scaling high-performing SE teams, • Deep expertise in:, • Machine Learning, LLMs, RAG, and agentic AI, • Python and modern ML frameworks (e.g., PyTorch, scikit-learn, Spark), • Strong experience across AWS, Azure, GCP, and hybrid/on-prem architectures, • Proven success influencing C-level executives and winning complex enterprise deals, • Experience scaling SE teams in high-growth or transformation environments, • Background in regulated industries (Financial Services, Healthcare, Public Sector, Telco), • Familiarity with enterprise AI platforms (H2O.ai, Databricks, Snowflake, etc.), • Experience with value-based selling frameworks (MEDDPICC, Challenger, Force Management)Why H2O.ai, • 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 worldwide 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. Powered by JazzHR CQKDSVv8W7

Job DescriptionWe're Topaz Labs, an AI tech company that builds one-click image and video quality software with deep learning. Over 1M photographers and designers trust us with their work, including teams at Google, Nvidia, NASA, and more. We've processed over 1 billion images, achieved 1000% revenue growth in the last 4 years, and we're just getting started. About us Rocketship growth and opportunity for impact ($3M → $48M revenue in six years). Over 1 million customers (including companies like Apple, NASA, Netflix) have used us for over 1 billion photos. Our tech has been covered by Fast Company, The Verge, Engadget, Mashable, BBC, and more. We're a world-class team that executes quickly, obsesses about the customer experience, promotes from within, and we're profitable with infinite runway. About the role As a DevOps Engineer on our team you would be a key part of development on all Topaz software - including our core products, Photo AI, Video AI and Gigapixel, ML model training infrastructure and distribution, and our website and other internal tooling. You will be working alongside our current devops engineer and helping expand our pipeline to deliver new products and ML models as we grow in 2024. Another chief goal is to increase automated testing and stability of our applications. You will also work closely with our product engineering team to sustain & improve biweekly update deliveries, as well as internal development processes. You will be joining an awesome team that sets a high standard for craftsmanship and feature delivery. About you • At least 2 years of professional working experience in a related field., • Deep familiarity with C++ build tools (3+ years)., • Hands-on experience with AWS, Azure, or similar cloud platforms., • Experience building and deploying CI/CD pipelines., • Experience implementing test automation., • Knowledge of networking infrastructure including CDN caching.Preferred, • Experience building releases for Windows and/or MacOS or iOS., • Experience in Python, Go or Javascript., • QT development/build experience., • Experience with Conan.

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 Customer Data Scientist who thrives at the intersection of cutting-edge AI and real enterprise impact. You will work directly with some of APAC's most sophisticated organisations - helping them move from AI curiosity to AI value, across the full spectrum of predictive and generative AI. This is not a lab role. You will be in the room with executives, data science teams, and business stakeholders - building solutions, running enablement programs, and translating complex AI into outcomes that decision-makers can act on. You will be backed by a world-class team including Kaggle Grandmasters, and equipped with H2O.ai's industry-leading platform spanning AutoML, LLM Studio, and agentic AI tooling. This position is based in Dallas, Texas. What You Will Do AI Solution Development & Delivery • Design and build custom AI/ML agents and applications using the H2O AI stack, tailored to high-value industry use cases across banking, insurance, healthcare, retail, and manufacturing., • Lead end-to-end GenAI solution delivery - LLM selection and evaluation, fine-tuning, RAG pipeline design, LLMOps, and guardrails - at enterprise scale., • Develop agentic AI workflows that automate complex, multi-step business processes and integrate into customer production environments., • Design and deliver hands-on enablement programs - workshops, hackathons, bootcamps, and training sessions - for audiences ranging from data scientists to C-suite executives., • Guide customers through their AI adoption journey: from first use case identification through model governance, monitoring, and continuous improvement., • Help customers get maximum value from H2O.ai products including Driverless AI, H2O Wave, H2O LLM Studio, H2O-3, and Document AI., • Translate technical AI outputs into compelling business narratives - clearly articulating value, risk, and next steps for non-technical stakeholders and executives., • Serve as a trusted technical advisor across customer organizations, building deep relationships with data science teams, business units, and AI leadership., • Contribute to pre-sales engagements - scoping solutions, building proof of concepts, and providing technical credibility that accelerates deal progression., • Contribute to H2O.ai's GenAI and ML platform evolution by feeding customer insights and real-world requirements back into product and engineering teams., • Develop industry-specific accelerators, demo environments, and solution playbooks for the Field Technology team. Experience & Background • 5+ years of hands-on experience in data science, machine learning, and AI, with a proven track record delivering projects for enterprise customers., • Strong expertise across both predictive AI (GLMs, gradient boosting, random forests, neural networks, time-series, anomaly detection) and generative AI (LLMs, RAG, fine-tuning, evaluation, guardrails)., • Demonstrated experience building and deploying AI agents and GenAI applications for industry-specific use cases., • Exceptional customer-facing communication skills - able to engage credibly with engineers, data scientists, and C-suite executives in the same day., • Fluency in Python and standard ML/data science libraries and frameworks., • Hands-on experience with H2O.ai products or comparable enterprise AI/ML platforms., • Strong understanding of enterprise AI requirements: security, governance, scalability, compliance, and responsible AI., • Kaggle competition experience or active participation in the data science community., • Published blogs, conference talks, or open-source contributions demonstrating thought leadership in AI., • Experience in regulated industries - financial services, healthcare, or government - with an understanding of compliance and risk considerations in AI deployment., • 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 sF5eyD1FgS

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 an AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in Dallas, Texas. What You Will Do Agentic AI & LLM Engineering • Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step workflows for enterprise customers., • Develop and deploy LLM-powered applications using techniques including RAG, fine-tuning, prompt engineering, function calling, and tool use., • Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety., • Own the full development lifecycle: from problem framing and data exploration through model development, API integration, and production deployment., • Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows., • Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale., • Work directly with customer data scientists, engineers, and business stakeholders to translate real-world problems into AI solutions., • Contribute to pre-sales and proof-of-concept engagements - building fast, credible demonstrations that win technical trust., • Communicate clearly across audiences: from detailed technical design reviews with engineering teams to outcome-focused updates for business stakeholders. Experience & Background • 3+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment., • Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar., • Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent)., • Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps., • Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM., • Backend development skills: REST APIs, containerization (Docker/Kubernetes), and CI/CD pipelines for AI applications., • Strong problem-solving instincts - comfortable with ambiguity, able to move fast without sacrificing engineering quality., • Kaggle or competitive ML experience., • Familiarity with H2O.ai products, Wave, or H2O Document AI., • Experience in financial services, healthcare, or other regulated industry AI deployments., • Exposure to tabular foundation models, AutoML, or enterprise ML platforms., • 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 UnZQtem1uy

Job DescriptionWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will...- Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach.- Build standardized distributed training frameworks for research and production, drive our training towards new levels of stability and efficiency.- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.- Identify and evaluate emerging technologies that can be adopted into Waabi’s training and inference frameworks, including but not limited to efficient CUDA kernels for training, quantization, model exporting and compilation for inference, etc. Qualifications:- MS/PhD or Bachelors degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.- Experience in deep learning frameworks such as PyTorch.- Experience across different stages of the development pipeline: data processing, distributed training and model deployment.- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.- Open-minded and collaborative team player with willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Experience in model compilation and exporting, interaction with lower level concepts like TensorRT.- Experience in identifying when custom CUDA kernels are needed, and implementing them.- Experience in Bazel build systems, and integrating third party packages into dev environments. The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/Benefits:Waabi provides a competitive benefits package that includes:- Competitive compensation and equity awards- Health and Wellness benefits encompassing Medical, Dental and Vision coverage- Unlimited Vacation- Flexible hours and Work from Home support- Daily drinks, snacks and catered meals (when in office)- Regularly scheduled team building activities and social events both on-site, off-site & virtually- World-class facility that includes a gym, games room (ping pong table, video game consoles, board games,etc), multiple collaborative working spaces and a gorgeous patio!(when in office)- As we grow, this list continues to evolve! Waabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description54,000 new photos are taken every second, and 600 hours of video are uploaded every minute. At Topaz Labs, we help over 1 million paying customers (including teams at Google, Nvidia, and NASA) maximize the visual quality of over 1 billion of these photos and videos. About usTopaz Labs is a full-stack AI company that develops, trains, and deploys generative AI models for image and video enhancement. We’re the best in the world at improving image and video quality, and produce several award-winning desktop products that millions of people rely on. Image and video creation has exploded in the past few years and we’ve grown with it, but we still only process a tiny fraction of the world’s content. We’re building an elite team dedicated to bringing our technology to every image and video that needs it. We execute quickly, obsess about the customer experience, and promote from within. We’re also profitable with an infinite runway. About the role As a Computer Vision Engineer, you will play a pivotal role in advancing engineering development within our AI research organization. Your responsibilities will encompass algorithmic visual data processing, data pipelines, training infrastructure, and large-scale training optimization, among other tasks. As the first engineering hire for our lab, this position offers an unparalleled growth opportunity and the chance to drive research scalability from an engineering perspective.In this unique role, you’ll collaborate closely with our deep learning research and engineering teams to build state-of-the-art models for image and video enhancement. We rapidly prototype, build, and deploy new products, and your contributions will help us develop superior AI tools and products for our millions of users.About you • At least 3+ years of professional working experience in a related field, • Hands-on experience with performance optimization, e.g. with multithreading, • Hands-on experience with computer vision models, • Experience with MLops best practices, • Experience with datasets, • Expert knowledge of Python, C/C++Preferred, • Experience with perceptron models in computer vision, • Experience with backend development

Job DescriptionWe're Topaz Labs, an AI tech company that builds one-click image and video quality software with deep learning. Over 1M photographers and designers trust us with their work, including on teams at Google, Nvidia, and NASA, and more. We've processed over 1 billion images, achieved 1000% revenue growth in the last 4 years, and we're only getting started. We're looking for a talented and motivated Software Engineer to help us craft our core desktop software apps. You will help build either Topaz Photo AI or Topaz Video AI, and own a significant part of the experience depending on whether you prefer frontend, backend, or full stack. You will have a large immediate impact every week on real people who love our software.About us • Rocketship growth and opportunity for impact ($3M → $45M revenue in five years), • Over 1 million customers (including companies like Apple, NASA, Netflix) have used us for over 1 billion photos. Our tech has been covered by Fast Company, The Verge, Engadget, Mashable, BBC, and more, • World-class team that releases weekly, obsesses about the customer experience, and promotes from within, • Profitable company with infinite runwayAbout you, • 2+ years experience in C++ or JavaScript, • You've built customer-facing products and you have a strong sense of user experience, • Proven ability to quickly learn and be effective in new technologies, • You exhibit an unusually strong work ethic, • Degree in Computer Science, Software Engineering, or equivalent professional experience

Job DescriptionWe're Topaz Labs, an AI tech company that builds software to solve imaging problems like denoising, super-resolution, and deconvolution with deep learning. Over 1M photographers and designers trust us with their work, including on teams at Google, Nvidia, NASA, and more. We've processed over 1 billion images, achieved 1000% revenue growth in the last 4 years, and we're only getting started. We’re looking for a Research Scientist to help us push the state-of-the-art in image and video enhancement. Your primary responsibility will be to explore and develop new deep learning models to solve inverse problems in imaging. You'll also evaluate customer feedback and image data to gauge performance and refine your models based on real-world usage.About us • Rocketship growth and opportunity for impact ($3M → $30M revenue in four years), • Over 1 million customers (including companies like Apple, NASA, Netflix) have used us for over 1 billion photos. Our tech has been covered by Fast Company, The Verge, Engadget, Mashable, BBC, and more, • World-class team that executes quickly, obsesses about the customer experience, and promotes from within, • Profitable company with infinite runwayAbout you, • PhD or equivalent industry experience, • Prior key contributor to significant deep learning projects for image enhancement or image processing, • Significant prior experience with CNNs, GANs, Diffusion, and other common computer vision network architectures, • 2 years of hands-on experience with TensorFlow or PyTorch, • Good understanding of common image processing algorithms, • Working knowledge of C/C++

Job DescriptionTopaz Labs produces AI imaging technology that helps over 1 million paying customers (including teams at Google, Nvidia, and NASA) maximize the visual quality of over 1 billion photos and videos. We are profitable and growing fast, with strong product-market fit and a vast market in front of us. We've grown the team from 20 to 63 in the last 3 years, and now it's time to scale recruiting to match our high growth trajectory. To help us do this, we're looking for a mission-driven and passionate Principal Recruiter to partner with our CEO and take ownership of our sourcing strategy and recruiting engine. This is a unique opportunity for a smart, scrappy, and motivated individual to help build our rocket right from the launchpad.About us: • Rocketship growth and opportunity for impact ($3M → $48M revenue in six years), • Over 1 million customers (including companies like Apple, NASA, Nvidia) have used us for over 1 billion photos. Our tech has been covered by Fast Company, The Verge, Engadget, Mashable, BBC, and Fox News, • World-class team that executes quickly, obsesses about the customer experience, and promotes from within, • Profitable company with infinite runwayAbout you:, • 5+ years in technology recruiting, ideally within AI, • You're the same kind of person that you'll be looking for: you're deeply passionate about your work and possess an unusually strong work ethic., • You have an effective approach to sourcing past simple boolean searches on LinkedIn. (What's one thing you do differently from other recruiters?), • You're execution-focused and obsessed with making the details great.

We are looking for a Factory Planner to join our team based in Houston and/or Dallas TX, to support Contract Manufacturing (CM) execution. Factory Planner will make sure material, capacity, logistics and all manufacturing road blockers are properly cleared, and products can be delivered on time. Dri

The Trend Vision One enterprise cybersecurity platform accelerates proactive security outcomes by predicting and preventing threats across the entire digital estate and environments like AWS, Google, Microsoft, and NVIDIA. Position Summary: TrendAI is building a world-class, AI-ready digital experie

Senior GenAI & High Performance Computing (HPC) Delivery Engineer Dell Technologies has delivered HPC solutions for 25+ years, including support for Bright Cluster Manager (now NVIDIA BCM) since 2011. Today, Dell is NVIDIA’s preferred partner for GenAI Factory systems, using Dell GenAI PowerEdge X

Senior GenAI & High Performance Computing (HPC) Delivery Engineer. Today, Dell is NVIDIA's preferred partner for GenAI Factory systems, using Dell GenAI PowerEdge XE servers and NVIDIA NVAIE to help customers build and scale end to end GenAI and High-Performance Computing environments. Senior GenAI

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 Dallas, Texas. 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 Udz4nhSBg9

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

Job DescriptionTopaz Labs produces AI imaging technology that helps over 1 million paying customers (including teams at Google, Nvidia, and NASA) maximize the visual quality of over 1 billion photos and videos. We are profitable and growing fast, with strong product-market fit and a vast market in front of us. We're looking for a talented creator who lives and breathes the AI creative space. You’ll own our presence across platforms like X, Instagram, TikTok, and Facebook—creating high-performing content that speaks to creators, drives brand awareness, and builds community. You’ll work closely with our Head of Growth and Product teams to turn ideas into content that drives culture and community in the AI creative space. This is a full-time, on-site role in Dallas, TX.What you'll do • Be the on-camera face of Topaz Labs across platforms, • Create, edit, and post original short-form videos around AI image/video tools, • Speak directly to creators, designers, and enthusiasts using our products, • Launch viral concepts, test new formats, and shape our content strategy, • Monitor trends, creators, and communities—and move fast when it matters, • Develop and execute strategies to grow followers and engagement, • Create short-form video content tailored to each platform, • Analyze results and optimize based on performance, • Monitor and engage with AI creator communities onlineAbout you, • You've created viral social content in the creative or AI space, • You’re fast, resourceful, and know how to tell compelling visual stories, • You’ve built social presence for yourself or a brand

Job DescriptionWe're Topaz Labs, an AI tech company that builds software to solve imaging problems like denoising, super-resolution, and deconvolution with deep learning. Over 1M photographers and designers trust us with their work, including on teams at Google, Nvidia, NASA, and more. We've processed over 1 billion images, achieved 1000% revenue growth in the last 4 years, and we're only getting started. We’re looking for a Deep Learning Researcher to help us push the state-of-the-art in image and video enhancement. Your primary responsibility will be to explore and develop new deep learning models to solve inverse problems in imaging. You'll also evaluate customer feedback and image data to gauge performance and refine your models based on real-world usage.About us • Rocketship growth and opportunity for impact ($3M → $30M revenue in four years), • Over 1 million customers (including companies like Apple, NASA, Netflix) have used us for over 1 billion photos. Our tech has been covered by Fast Company, The Verge, Engadget, Mashable, BBC, and more, • World-class team that executes quickly, obsesses about the customer experience, and promotes from within, • Profitable company with infinite runwayAbout you, • PhD in related field, or equivalent industry experience, • Prior key contributor to significant deep learning projects for image enhancement or image processing, • Significant prior experience with CNNs and other common computer vision network architectures, • 2 years of hands-on experience with TensorFlow or PyTorch, • Good understanding of common image processing algorithms, • Working knowledge of C/C++

Job DescriptionThe hardware team at ISEE is seeking a detail oriented senior lead embedded systems engineer to both lead and execute embedded software development. This role has critical responsibilities in safety critical software development as well as bridging the gap between hardware and higher level software systems. Role responsibilities include:- Development, verification and maintenance of embedded software for autonomous vehicle ECUs, sensors, actuators and safety systems. Qualifications-Bachelor/Master Degree in Electrical Engineering or Computer Science-Experience with embedded development in automotive or robotics domains-Proficiency in embedded C-Passionate about self-driving vehicles and robotics-Excellent communication skills-Experience with safety critical system design Preferred-5+ years of experience-Experience with Automotive CAN J1939-Experience with Nvidia Jetson Orin or Nvidia Drive platforms-Experience with Matlab/Simulink ecosystem-Familiarity with functional safety, e.g. ISO 26262 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description54,000 new photos are taken every second, and 600 hours of video are uploaded every minute. At Topaz Labs, we help over 1 million paying customers (including teams at Google, Nvidia, and NASA) maximize the visual quality of over 1 billion of these photos and videos. About us Topaz Labs is a full-stack AI company that develops, trains, and deploys generative AI models for image and video enhancement. We’re the best in the world at improving image and video quality, and produce several award-winning desktop products that millions of people rely on. About the role As a Software Engineer supporting our AI Engine, you would report to our Head of AI Engine, and use your expertise to improve performance of our internal AI Engine. Your responsibilities will be to increase app performance, stability, availability of new features and simplify and improve the API of the framework. You will be the technical bridge between our Deep Learning research team and our variety of Production products that rely on our models. You’ll support our research team by helping prepare new & updated models for production and helping with GPU/CPU optimization. You’ll also work with various hardware partners (NVIDIA, AMD, Intel, Apple) to optimize inference on their hardware. About you • Hands-on experience with performance optimization, e.g. concurrency, multithreading, memory, speed, benchmarking, reliability, • Experience architecting APIs for internal development, • Hands-on experience implementing image processing or computational photography algorithms, • Expert knowledge of C/C++, • Experience with video encoding/decoding and file formats, • Experience with OpenCV, ffmpeg, GPU programming, • Experience with the raw image camera pipeline and image formats, • Experience with onnx, coreml, and tensorRT runtime SDKs

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. As an Embedded OS Engineer, you will be responsible for designing, developing, and optimizing the operating system components that enable our unmanned aerial systems (UAS) to operate efficiently and reliably. Your work will ensure that the software infrastructure of our UAVs meets the high standards required for autonomous operations in dynamic and challenging environments. What You'll Do: • Design, develop, and maintain the Linux based or commercial real-time operating system components for UAVs, focusing on performance, reliability, and security., • Optimize the OS for concurrent processing and efficient resource management., • Collaborate with hardware engineers, software developers, and autonomy engineers to ensure seamless integration of OS components with other subsystems., • Develop and maintain drivers and middle-ware for various hardware components and sensors, especially camera and timing systems., • Conduct rigorous testing and debugging to ensure the stability and robustness of the OS., • Stay updated with the latest advancements in OS technologies and apply best practices to our systems. Required Qualifications:, • Minimum of 5 years of related experience with a Bachelor’s degree in Computer Science (or related field); or 3 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience., • Proven experience in OS development, particularly in real-time and embedded systems., • Strong understanding of RTOS concepts, concurrent programming, and resource management., • Proficiency in programming languages such as C, C++, Python, or similar., • Experience with developing drivers and middle-ware for hardware components., • Familiarity with cyber security principles and practices in embedded systems, including secure boot and data-at-rest encryption., • Excellent communication skills, with the ability to effectively collaborate with multidisciplinary teams and external stakeholders., • Demonstrated track record of assuming ownership over development processes and features and delivering outstanding outcomes., • Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment., • You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others. Preferred Qualifications:, • Experience customizing, deploying, and maintaining Linux distributions created with Yocto on various hardware platforms, • Experience customizing, deploying, and maintaining RTOS’s such as VxWorks, RTLinux, or Green Hills Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWe're Topaz Labs, an AI tech company that builds one-click image and video quality software with deep learning. Over 1M photographers and designers trust us with their work, including teams at Google, Nvidia, and NASA, and more. We've processed over 1 billion images, achieved 1000% revenue growth in the last 4 years, and we're just getting started. About us Rocketship growth and opportunity for impact ($3M → $55M ARR since 2018). Over 1 million customers (including companies like Apple, NASA, Nvidia) have used us for over 1 billion photos. Our tech has been covered by Fast Company, The Verge, Engadget, Mashable, BBC, Fox News and more. We're a world-class team that executes quickly, obsesses about the customer experience, promotes from within, and we're profitable with infinite runway. About the role As a Software Engineer on our Cloud team, you'll report to our Director of AI Engine, and support our product teams with the implementation of cloud technologies. You would be responsible for designing and implementing secure, reliable cloud architectures for our products. You will work closely with our DevOps team to manage API and service deployments. About you • At least 2 years of professional working experience as a software engineer, • 2+ years in Go, Python, or Typescript, • Hands-on experience with AWS, Azure, or similar cloud platforms, • Hands-on experience with Kubernetes, • Expert knowledge of distributed systems principlesPreferred, • Experience with Serverless Framework, • 2+ years in Python, • Exposure to the AWS SDK for Go v2

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly.Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly.Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along