Senior Solution Engineer
Lambda Labs · San Francisco Office (Second St) · San Jose Office (First St) · Bellevue Office
Infrastructureremotesenior$226k–$355k
At a glance
Highlights
- Lead hands-on PoCs to prove performance of large-scale GPU cloud.
- Design end-to-end GPU cloud architectures for enterprise customers.
- Champion customer feedback to shape product and engineering roadmap.
What they offer
- Generous cash and equity compensation
- Health, dental, and vision coverage for you and dependents
- Wellness and commuter stipends for select roles
- 401(k) plan with 2% company match
- Flexible paid time off plan
Ideal candidate
Customer-obsessed technical leader with enterprise cloud background who thrives owning complex deals and translating massive compute challenges into trusted, production-ready solutions.
Requirements
- 8+ years designing, deploying and scaling enterprise cloud infrastructure
- 4+ years as Solution Architect, Solution Engineer or technical customer-facing role
- 3+ years architecting and deploying cloud-based AI/ML workloads
- Track record deploying and optimizing workloads on NVIDIA GPU architectures
- Experience with Kubernetes, Docker, SLURM, Terraform and Ansible
- Knowledge of InfiniBand, RoCE, distributed file systems, security and cost optimization
- Experience coding in Python, Go, C/C++ (CUDA) or similar
- Experience partnering with AEs to close deals and present to C-level stakeholders
- remote policy
- 4 days in office per week, Tuesday is designated work from home day
Lab profile
About Lambda Labs
The Superintelligence Cloud delivering GPU compute infrastructure for AI researchers and enterprises.
What they build
- GPU cloud infrastructure
- On-demand GPU instances
- Managed Kubernetes for AI workloads
Known for
- AI cloud infrastructure at scale
- HPC platform and hardware engineering
- Data center operations and networking
Key facts
- Serves tens of thousands of customers
- Offices in San Francisco, San Jose and Bellevue
- Data center in Quebec City, Canada
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