Member of Engineering (Inference Infrastructure)
Poolside · Remote (EMEA)
CHECKED 9H AGO
Frontier labremote
At a glance
Highlights
- Optimize GPU utilization and deliver stable inference serving for researchers.
- Speed up model deployment and inference request serving at scale.
- Boost research velocity powering frontier models for software development.
What they offer
- Fully remote work & flexible hours
- 37 days/year of vacation & holidays
- Health insurance allowance for you & dependents
- 16 weeks of flexible, full-pay parental leave
- Well-being, always-be-learning & home office allowances
- Company-provided equipment
- Frequent team get togethers
Ideal candidate
Systems-minded engineer obsessed with GPU efficiency and reliable serving who thrives debugging production and partnering closely with researchers to accelerate frontier model work.
Requirements
- Strong programming skills in Go, or other similar languages
- Strong systems engineering background: distributed systems, schedulers, control planes, or high-throughput data planes
- Production experience with Kubernetes internals — controllers, informers, operators
- Bias toward observability and debuggability when debugging production issues
- Plus: experience in systems serving large scale inference requests
- remote policy
- Fully remote with flexible hours and monthly Paris meetup
- hiring process
- Intro call with team member, technical interview(s) with engineering, team fit call with People team, final interview with founding engineer
Lab profile
About Poolside
Building frontier AI foundation models to automate software engineering for enterprises.
What they build
- Foundation models for software development
- Enterprise platform for AI-powered engineering
Known for
- Large-scale model training
- Post-training and evaluations
- Inference infrastructure
- Applied research and engineering at scale
Key facts
- Founded in 2023
- Headquartered in Paris, France
- Raised $500M Series B in 2024