ML Ops DSX Senior Engineer
Santa Clara, CA · Seattle, WA · US remoteSanta Clara, CA +1 · US remoteRemote
$184,000–$356,500
Cloud & Customer Solutions Engineer - DC GPU
First seen · open on iCIMS as of
Pay not postedBellevue, WAFull-time
Own end-to-end deployment and sustained production operation of AMD Instinct GPU clusters for strategic AI customers, spanning certification, workload performance, and incident response.
Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.
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At a glance
Posted base pay
Not posted
Median $190K
Senior FDE postings1,864 postings · middle 50% of posted pay$160K–$220KThe work
Builds what the customer runs
Balance Mostly building
Project stages
- Pre-sales (not covered)
- Proof of concept (not covered)
- Implementation
- Operations
- Coding
- Writes production code
- Builds for
- External customers
- Level
- Senior
- Role
- Individual contributor
What they ask for
Experience
Background
Visa
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More like this
Pay not posted
Forward Deployed Engineer (Model Customization and Optimization), AWS Forward Deployed Engineering
Boston, MA · Seattle, WA · +3 moreBoston, MA +4
$143,700–$213,800
What you’ll do
- Bring up, certify, and operate AMD Instinct GPU customer deployments.
- Deploy and optimize distributed training and inference stacks across cloud and bare-metal environments.
- Lead production incident response and drive root causes to permanent resolution.
- Build validation and observability tooling, and enable customer teams to operate independently.
What you’ll bring
- 5+ years of production software or infrastructure engineering experience.
- Hands-on GPU compute at scale, including cluster deployment, distributed training or inference, and performance debugging.
- Experience with Kubernetes and/or Slurm, GPU containers, collective communication, networking, and observability tooling.
- Cloud platform experience, including hybrid or bare-metal deployment patterns.
About AMD
Designs high-performance and adaptive computing products—CPUs, GPUs, networking and embedded processors—for data centers, PCs, gaming and embedded systems.
Public · 5000+ people
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