Andromeda
Solutions Architect
North America Remote / San Francisco, CA. Posted 3 months ago
The role
You will own the technical side of large customer engagements for Andromeda. You will lead technical discovery, design cluster architectures, and manage accounts from evaluation through production training runs.
What you will do
- Partner with Sales to qualify opportunities and lead technical discovery
- Design cluster and workload architectures
- Own POCs end-to-end including scope, benchmarks, and stakeholder alignment
- Take customers from signature to first successful production training run
- Serve as the named technical owner for accounts after launch
- Perform architecture reviews, capacity planning, and performance and cost optimization
- Create assets like demo environments, benchmarking harnesses, and reference architectures
- Provide feedback to Product, Engineering, and Research
Required qualifications
- 5+ years in customer-facing technical roles
- 2+ years in pre-sales (Solutions Engineer, Sales Engineer, Solutions Architect, or specialist SA)
- Direct experience selling or supporting GPU compute at a neocloud or GPU provider, or as an AI/HPC specialist at a hyperscaler or NVIDIA
- Demonstrated ability to take a customer from evaluation into production and stay accountable for the outcome
- Real fluency in large-scale training and inference: distributed training frameworks, multi-node topologies, InfiniBand/RoCE, storage and checkpointing
- Comfort with Kubernetes and SLURM as scheduling environments
- Enough Python to build a benchmark, a prototype, or an API integration
- A track record of owning technical evaluations in complex, multi-stakeholder deals
Nice to have
- Experience with frontier labs or AI-native companies as customers
- Performance benchmarking, MFU analysis, or total-cost-of-training modeling
- Having been the first or earliest SE somewhere
Benefits
- Healthcare, dental, and vision coverage
- 401(k)
- Unlimited PTO
About the company
Andromeda is a market and infrastructure platform to buy, sell, and operate compute. It enables fragmented compute to flow through one platform to deliver reliable capacity to model builders, research labs, and inference providers.