Member of Engineering Inference Infrastructure
Poolside builds open-weight agentic coding models and tools for developers.
Funding history
About Poolside
Poolside is an AI company developing foundation models for agentic software engineering, including the Laguna model family and the pool coding agent, available through desktop, terminal, editor, API, and chat experiences.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will optimize GPU workload scheduling and inference serving. You will build workload-management APIs and tools, improve the inference control plane, troubleshoot failures, and collaborate with research to continuously improve research velocity.
Requirements
- Go
- Systems engineering
- Distributed system
- Scheduler
- Control plane
- High-throughput data plane
- Kubernetes controller
- Kubernetes informer
- Kubernetes operator
- Observability
- Debugging
- Large-scale inference serving
Responsibilities
- Design and develop an internal scheduling system to maximize GPU utilization
- Build APIs and tools to manage GPU workload lifecycles and troubleshoot failures
- Design and improve the inference control plane for model deployment and inference serving
- Collaborate with research to improve research velocity
Benefits
- Fully remote work
- Flexible hours
- 37 days per year of vacation and holidays
- Health insurance allowance for you and dependents
- 16 weeks of flexible fully paid parental leave
- Well-being allowance
- Home office allowance
- Company-provided equipment
- Frequent team get-togethers
Hiring Process
Introductory call with a team member; technical interview(s) with a Member of Engineering; team-fit call with the People team; final interview with a Founding Engineer.
