{"schemaVersion":"jobsearcher.job.v1","id":"6dab4ec991732ec027d0249d","url":"https://jobsearcher.com/jobs/6dab4ec991732ec027d0249d","canonicalUrl":"https://jobsearcher.com/jobs/6dab4ec991732ec027d0249d","title":"Technical Support Engineer (GPU Clusters) - US Weekends","description":"About the role\nAs a Technical Support Engineer at a pioneering AI company, you'll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You'll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment.\nRequired hours\nThis is a fulltime position working US daytime hours. The role will work both weekend days (Saturday and Sunday) as well as two additional weekdays.\nThis is a 4-day shift, 10 hours per day, with 2 additional hours of on-call coverage on Saturdays and Sundays.\nThe role would start as a Monday to Friday role for the first few months to allow for ramping up and learning from teammates. After being considered fully ramped, the role would transition to the 4-day weekend shift.\nResponsibilities\nEngage directly with customers to tackle and resolve complex technical challenges involving our cutting-edge Kubernetes GPU clusters; ensure swift and effective solutions every time.\nAct as a customer facing SRE to ensure our customer’s Kubernetes clusters remain healthy and stable\nBecome a product expert in our GPU Cluster service, serving as the last line of technical defense before issues are escalated to Engineering and Product teams.\nMonitor GPU cluster health and proactively communicate hardware issues to customers (thermal throttling, BMC failures, missing GPUs, and NVLink/InfiniBand degradation) with clear remediation steps\nOperate and maintain production infrastructure for enterprise GPU customers, including fleet rebalancing, Slurm cluster maintenance, node repair/migration, and Kubernetes-based workload management\nInvestigate and resolve storage and networking issues such as Weka filesystem degradation, InfiniBand link failures, and bandwidth anomalies on bare-metal and VM environments\nCollaborate seamlessly across Engineering, Research, and Product teams to address customer concerns; collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction.\nTransform customer insights into action by identifying patterns in support cases and working with Engineering and Go-To-Market teams to drive Together’s roadmap (e.g., future models to support)\nMaintain detailed documentation of system configurations, procedures, troubleshooting guides, and FAQs to facilitate knowledge sharing with team and customers.\nBe flexible in providing support coverage during holidays, nights and weekends as required by business needs to ensure consistent and reliable service for our customers.\nRequirements\n3+ years of experience in a customer-facing technical role with at least 1 year in a support function for an AI service or supporting a mission-critical API in SaaS\nExperience as an SRE or DevOps engineer working with Kubernetes\nStrong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments.\nAdvanced knowledge with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible) high-performance network fabrics, NFS-based storage management, container infrastructure, and scripting and programming languages.\nExperience with HPC/Slurm cluster environments — node draining, job scheduling, maintenance workflows\nFamiliarity with high-speed networking concepts — InfiniBand, RDMA, network interface diagnostics\nExperience with distributed storage systems (e.g., Weka, NFS) and troubleshooting I/O and bandwidth issues\nFoundational understanding in the installation, configuration, administration, troubleshooting, and securing of compute clusters.\nComplex technical problem solving and troubleshooting, with a proactive approach to issue resolution\nAbility to work cross-functionally with teams such as Sales, Engineering, Support, Product and Research to drive customer success.\nStrong sense of ownership and willingness to learn new skills to ensure both team and customer success.\nExcellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.\nAbility to operate in dynamic environments, adept at managing multiple projects, and comfortable with frequent context switching and prioritization.\nAbout Together AI\nTogether AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.\nCompensation\nWe offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160K - $230K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\nEqual Opportunity\nTogether AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\nPlease see our Privacy Policy at https://www.together.ai/privacy","company":"Together Ai","rawCompany":"together ai","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-06T16:25:10.388Z","occupations":[{"code":"15-1232.00","title":"Computer User Support Specialists","slug":"computer-user-support-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Technical Support Engineer (GPU Clusters) - US Weekends","description":"About the role\nAs a Technical Support Engineer at a pioneering AI company, you'll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You'll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment.\nRequired hours\nThis is a fulltime position working US daytime hours. The role will work both weekend days (Saturday and Sunday) as well as two additional weekdays.\nThis is a 4-day shift, 10 hours per day, with 2 additional hours of on-call coverage on Saturdays and Sundays.\nThe role would start as a Monday to Friday role for the first few months to allow for ramping up and learning from teammates. After being considered fully ramped, the role would transition to the 4-day weekend shift.\nResponsibilities\nEngage directly with customers to tackle and resolve complex technical challenges involving our cutting-edge Kubernetes GPU clusters; ensure swift and effective solutions every time.\nAct as a customer facing SRE to ensure our customer’s Kubernetes clusters remain healthy and stable\nBecome a product expert in our GPU Cluster service, serving as the last line of technical defense before issues are escalated to Engineering and Product teams.\nMonitor GPU cluster health and proactively communicate hardware issues to customers (thermal throttling, BMC failures, missing GPUs, and NVLink/InfiniBand degradation) with clear remediation steps\nOperate and maintain production infrastructure for enterprise GPU customers, including fleet rebalancing, Slurm cluster maintenance, node repair/migration, and Kubernetes-based workload management\nInvestigate and resolve storage and networking issues such as Weka filesystem degradation, InfiniBand link failures, and bandwidth anomalies on bare-metal and VM environments\nCollaborate seamlessly across Engineering, Research, and Product teams to address customer concerns; collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction.\nTransform customer insights into action by identifying patterns in support cases and working with Engineering and Go-To-Market teams to drive Together’s roadmap (e.g., future models to support)\nMaintain detailed documentation of system configurations, procedures, troubleshooting guides, and FAQs to facilitate knowledge sharing with team and customers.\nBe flexible in providing support coverage during holidays, nights and weekends as required by business needs to ensure consistent and reliable service for our customers.\nRequirements\n3+ years of experience in a customer-facing technical role with at least 1 year in a support function for an AI service or supporting a mission-critical API in SaaS\nExperience as an SRE or DevOps engineer working with Kubernetes\nStrong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments.\nAdvanced knowledge with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible) high-performance network fabrics, NFS-based storage management, container infrastructure, and scripting and programming languages.\nExperience with HPC/Slurm cluster environments — node draining, job scheduling, maintenance workflows\nFamiliarity with high-speed networking concepts — InfiniBand, RDMA, network interface diagnostics\nExperience with distributed storage systems (e.g., Weka, NFS) and troubleshooting I/O and bandwidth issues\nFoundational understanding in the installation, configuration, administration, troubleshooting, and securing of compute clusters.\nComplex technical problem solving and troubleshooting, with a proactive approach to issue resolution\nAbility to work cross-functionally with teams such as Sales, Engineering, Support, Product and Research to drive customer success.\nStrong sense of ownership and willingness to learn new skills to ensure both team and customer success.\nExcellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.\nAbility to operate in dynamic environments, adept at managing multiple projects, and comfortable with frequent context switching and prioritization.\nAbout Together AI\nTogether AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.\nCompensation\nWe offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160K - $230K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\nEqual Opportunity\nTogether AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\nPlease see our Privacy Policy at https://www.together.ai/privacy","datePosted":"2026-08-06T16:25:10.388Z","dateModified":"2026-08-06T16:25:10.388Z","hiringOrganization":{"@type":"Organization","name":"Together Ai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6dab4ec991732ec027d0249d"},"url":"https://jobsearcher.com/jobs/6dab4ec991732ec027d0249d"}}