Solutions Architect
Andromeda Cluster · Remote · North America Remote / San Francisco, CA ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Remote or SF Hybrid
- First SA Hire
- AI Infrastructure
- GPU & Kubernetes
- Full-time Role
As the first Solutions Architect, you will define the technical strategy for major customer engagements. You bridge the gap between business goals and complex GPU cluster architectures, ensuring reliable capacity for AI model training and inference.
This greenfield position requires building the foundational playbooks, demo environments, and reference architectures that will scale the team. You remain accountable for the architecture from the initial proof of concept to long-term production success.
What you'll do
- Lead technical discovery and scope evaluations against specific customer success criteria
- Design cluster architectures focused on performance metrics like MFU and cost efficiency
- Manage proofs of concept from scoping to benchmarking and stakeholder alignment
- Guide customers from contract signature to their first successful production training run
- Serve as the primary technical owner for account growth and capacity planning
- Build internal assets including demo environments, runbooks, and competitive materials
- Provide product feedback based on recurring customer gaps and production realities
What you'll need
- Five plus years in customer-facing technical roles with two years in pre-sales
- Experience supporting GPU compute at a neocloud, provider, or hyperscaler
- Proven ability to take customers from evaluation into production accountability
- Deep knowledge of distributed training frameworks and multi-node topologies
- Familiarity with InfiniBand, RoCE, storage systems, and checkpointing at scale
- Comfort working with Kubernetes and SLURM scheduling environments
- Proficiency in Python for building benchmarks, prototypes, or API integrations
- Strong communication skills for engaging with engineers and executive leadership
Nice to have
- Experience working with frontier labs or AI-native companies
- Background in performance benchmarking and MFU analysis
- Experience modeling total cost of training for large workloads
- History of being the first or early sales engineer in a startup
Stack
- Python
- Kubernetes
- SLURM
- InfiniBand
- RoCE
- GPU Compute
How you'll work
- Fully remote or hybrid based in San Francisco
- Full-time employment position
What you get
- Competitive compensation package with meaningful equity
- Healthcare, dental, and vision coverage for employees and dependents
- 401(k) retirement plan
- Unlimited paid time off