{"schemaVersion":"jobsearcher.job.v1","id":"9541d7cfa183c5cc69b555c9","url":"https://jobsearcher.com/jobs/9541d7cfa183c5cc69b555c9","canonicalUrl":"https://jobsearcher.com/jobs/9541d7cfa183c5cc69b555c9","title":"Customer Cluster Engineer","description":"Customer engineeringCustomer Cluster EngineerCustomer engineering at iframe.ai is not solutions architecture and is not customer support. You will be embedded with three to five reserved-capacity accounts at a time, owning their training and inference performance end-to-end. The same engineers who tune the kernel pick up the page.Apply by email All open rolesTeam Customer engineeringLocation San Francisco / Remote (US, EU)Type Full-time IC4–IC5Stack PyTorchFSDP / Megatron-LMCUDA / TritonNCCLwandb / aimLinux perfInfiniBand familiarityApply by emailHiring manager replies within 5 business days.The teamAbout The TeamCustomer engineering is a small team of senior engineers — most have prior runtime, SRE, or research experience. You're paired with a single account manager who handles commercial; you handle the technical relationship from kickoff through renewal.Reports to the head of customer engineering. Paired one-to-one with a sales engineer / AE for commercial.The roleWhat you'll do01 Own three to five reserved-capacity accounts as their named customer engineer. Most are AI labs or AI-native scale-ups running 256–2048-GPU jobs.02 Profile distributed training jobs: NCCL collectives, gradient overlap, checkpoint cost, MFU. Make and defend specific recommendations.03 Tune kernels and configurations alongside the runtime team — your changes go through the same review process and ship in the same release train.04 Run the technical pre-sales for your accounts' expansions and renewals: pilot design, scope, success criteria, post-mortem.05 Lead the post-mortem on any P1 affecting your accounts; escalate root-cause work into the runtime, cluster, or platform teams.06 Carry the customer-engineering on-call rotation alongside runtime and cluster SRE — about one week per six.The barWhat we're looking forFive-plus years of distributed-systems or ML-systems engineering — production experience with 64+ GPU jobs is required.Strong PyTorch / FSDP / Megatron-LM debugging skills. You can read a wandb run and tell us where time is going.Working knowledge of CUDA and at least one of Triton or CUTLASS. You don't need to write them daily; you need to read them.Strong communicator. You'll write four post-mortems a quarter and present at customer all-hands.Comfort with executive-level conversations on technical scope, timelines, and trade-offs.BonusNice to have, not requiredPrior frontier-lab or hyperscaler training-team experience.Experience running benchmarks at customer sites (MLPerf or similar).Open-source contributions to PyTorch, FSDP, NCCL, or the major training frameworks.Comfort with Slack-based customer relationships and high-tempo asynchronous communication.CompensationIn writing, like everything elseWe publish bands. We meet them. The number you see on the offer is the same number your future peers got at the same level. We do not negotiate; we level.Base$220,000 – $320,000 USD (US, IC4 / IC5).EquityMeaningful early-stage equity, refreshed on tenure milestones.NotesNo revenue-tied compensation. Customer engineers are not compensated on the size or renewal of the accounts they own; they are compensated on technical impact.How to applyOne email is enoughSend a short note to careers@iframe.ai with the role title in the subject line. Include your CV or LinkedIn, one or two links to work you're proud of, and a sentence on why this role specifically. Hiring managers reply within five business days, regardless of outcome. 01ApplicationA hiring manager reads every email. Reply within five business days. 02Manager call30–45 minutes. Scope, role, mutual fit. We share the comp band on this call. 03Technical loop3–4 sessions on the same day. Real problems, no homework, no whiteboard riddles. 04OfferSame-week offer at the published band for your level. Start dates are flexible.Equal opportunityWe hire on the work. Race, gender, age, nationality, religion, sexual orientation, disability, and veteran status do not factor into our decisions. We sponsor visas for senior roles in the US, UK, and EU — bring it up on the manager call.Need an accommodation for the interview process? Mention it in your application or write careers@iframe.ai.Also openOther roles you might consider RuntimeInference Acceleration EngineerShip the next 2× on the open-source model catalog. Triton, CUDA, ROCm. You will publish what you ship.View role Research labDistributed Training ResearcherLead a paper / quarter on multi-thousand-GPU pre-training. Co-appointment with a partner university available.View role Cluster & SRECluster Site Reliability EngineerBring up B300 racks, drive InfiniBand fabric to spec, run capacity planning across seven regions. Pager included.View role All open rolesOne last thingIf this role isn't quite right but you'd be a fit at iframe.ai, write anyway.Senior engineers and researchers can apply outside the listed roles. The bar is the same. The reply window is the same.Apply: Customer Cluster Engineer General application","company":"Iframe","rawCompany":"iframe","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-01T10:14:53.661Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Customer Cluster Engineer","description":"Customer engineeringCustomer Cluster EngineerCustomer engineering at iframe.ai is not solutions architecture and is not customer support. You will be embedded with three to five reserved-capacity accounts at a time, owning their training and inference performance end-to-end. The same engineers who tune the kernel pick up the page.Apply by email All open rolesTeam Customer engineeringLocation San Francisco / Remote (US, EU)Type Full-time IC4–IC5Stack PyTorchFSDP / Megatron-LMCUDA / TritonNCCLwandb / aimLinux perfInfiniBand familiarityApply by emailHiring manager replies within 5 business days.The teamAbout The TeamCustomer engineering is a small team of senior engineers — most have prior runtime, SRE, or research experience. You're paired with a single account manager who handles commercial; you handle the technical relationship from kickoff through renewal.Reports to the head of customer engineering. Paired one-to-one with a sales engineer / AE for commercial.The roleWhat you'll do01 Own three to five reserved-capacity accounts as their named customer engineer. Most are AI labs or AI-native scale-ups running 256–2048-GPU jobs.02 Profile distributed training jobs: NCCL collectives, gradient overlap, checkpoint cost, MFU. Make and defend specific recommendations.03 Tune kernels and configurations alongside the runtime team — your changes go through the same review process and ship in the same release train.04 Run the technical pre-sales for your accounts' expansions and renewals: pilot design, scope, success criteria, post-mortem.05 Lead the post-mortem on any P1 affecting your accounts; escalate root-cause work into the runtime, cluster, or platform teams.06 Carry the customer-engineering on-call rotation alongside runtime and cluster SRE — about one week per six.The barWhat we're looking forFive-plus years of distributed-systems or ML-systems engineering — production experience with 64+ GPU jobs is required.Strong PyTorch / FSDP / Megatron-LM debugging skills. You can read a wandb run and tell us where time is going.Working knowledge of CUDA and at least one of Triton or CUTLASS. You don't need to write them daily; you need to read them.Strong communicator. You'll write four post-mortems a quarter and present at customer all-hands.Comfort with executive-level conversations on technical scope, timelines, and trade-offs.BonusNice to have, not requiredPrior frontier-lab or hyperscaler training-team experience.Experience running benchmarks at customer sites (MLPerf or similar).Open-source contributions to PyTorch, FSDP, NCCL, or the major training frameworks.Comfort with Slack-based customer relationships and high-tempo asynchronous communication.CompensationIn writing, like everything elseWe publish bands. We meet them. The number you see on the offer is the same number your future peers got at the same level. We do not negotiate; we level.Base$220,000 – $320,000 USD (US, IC4 / IC5).EquityMeaningful early-stage equity, refreshed on tenure milestones.NotesNo revenue-tied compensation. Customer engineers are not compensated on the size or renewal of the accounts they own; they are compensated on technical impact.How to applyOne email is enoughSend a short note to careers@iframe.ai with the role title in the subject line. Include your CV or LinkedIn, one or two links to work you're proud of, and a sentence on why this role specifically. Hiring managers reply within five business days, regardless of outcome. 01ApplicationA hiring manager reads every email. Reply within five business days. 02Manager call30–45 minutes. Scope, role, mutual fit. We share the comp band on this call. 03Technical loop3–4 sessions on the same day. Real problems, no homework, no whiteboard riddles. 04OfferSame-week offer at the published band for your level. Start dates are flexible.Equal opportunityWe hire on the work. Race, gender, age, nationality, religion, sexual orientation, disability, and veteran status do not factor into our decisions. We sponsor visas for senior roles in the US, UK, and EU — bring it up on the manager call.Need an accommodation for the interview process? Mention it in your application or write careers@iframe.ai.Also openOther roles you might consider RuntimeInference Acceleration EngineerShip the next 2× on the open-source model catalog. Triton, CUDA, ROCm. You will publish what you ship.View role Research labDistributed Training ResearcherLead a paper / quarter on multi-thousand-GPU pre-training. Co-appointment with a partner university available.View role Cluster & SRECluster Site Reliability EngineerBring up B300 racks, drive InfiniBand fabric to spec, run capacity planning across seven regions. Pager included.View role All open rolesOne last thingIf this role isn't quite right but you'd be a fit at iframe.ai, write anyway.Senior engineers and researchers can apply outside the listed roles. The bar is the same. The reply window is the same.Apply: Customer Cluster Engineer General application","datePosted":"2026-07-01T10:14:53.661Z","dateModified":"2026-07-01T10:14:53.661Z","hiringOrganization":{"@type":"Organization","name":"Iframe","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9541d7cfa183c5cc69b555c9"},"url":"https://jobsearcher.com/jobs/9541d7cfa183c5cc69b555c9"}}