iFrame
Customer Cluster Engineer
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
San Francisco, CA, USA
Work mode:
Onsite
Published on:
1 September 2026
What they need
Customer engineering
Customer Cluster Engineer
Customer 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 roles
Team Customer engineering
Location San Francisco / Remote (US, EU)
Type Full-time
- IC4–IC5
Stack PyTorchFSDP / Megatron-LMCUDA / TritonNCCLwandb / aimLinux perfInfiniBand familiarity
Apply by email
Hiring manager replies within 5 business days.
The team
About The Team Customer 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 role
What you'll do
- 01 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 bar
What we're looking for
- Five-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.
Bonus
Nice to have, not required
- Prior 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.
Compensation In writing, like everything else
We 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).
Equity
Meaningful early-stage equity, refreshed on tenure milestones.
Notes
No 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 apply
One email is enough
Send a short note to [email protected] 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.
- 01
Application
A hiring manager reads every email. Reply within five business days.
- 02
Manager call
30–45 minutes. Scope, role, mutual fit. We share the comp band on this call.
- 03
Technical loop
3–4 sessions on the same day. Real problems, no homework, no whiteboard riddles.
- 04
Offer
Same-week offer at the published band for your level. Start dates are flexible.
Equal opportunity
We 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 [email protected].
Also open
Other roles you might consider
- Runtime
Inference Acceleration Engineer
Ship the next 2× on the open-source model catalog. Triton, CUDA, ROCm. You will publish what you ship.
View role
- Research lab
Distributed Training Researcher
Lead a paper / quarter on multi-thousand-GPU pre-training. Co-appointment with a partner university available.
View role
- Cluster & SRE
Cluster Site Reliability Engineer
Bring up B300 racks, drive InfiniBand fabric to spec, run capacity planning across seven regions. Pager included.
View role
All open roles
One last thing
If 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
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