Member of Engineering – Compute

🕒 July 15

🇪🇺 Europe – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🖥 Software Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

poolside

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🤖 Artificial Intelligence

🏢 Enterprise

Artificial Intelligence • Enterprise

poolside is a frontier AI lab and enterprise platform that builds and deploys foundation models, multi-agent systems, and developer-facing tools focused on automating complex software work. The company specializes in on-prem and VPC deployments, security-first integrations, governance, and connectors to enterprise data sources so organizations can run agents and models inside their own boundaries. Poolside embeds research and engineering with customers to deliver outcome ownership, risk controls, and measurable business impact while advancing toward AGI by starting in high-consequence software environments.

📋 Description

• Design and develop internal scheduling system to maximize GPU utilization • Build API and tooling to help manage the lifecycle of GPU workloads and troubleshoot failures • Design and improve inference control plane to speed up model deployment and inference request serving • Collaborate with research to improve research velocity continuously

🎯 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 — not just deploying to it. • Bias toward observability and debuggability: building a system that is easy to navigate when debugging production issues • Plus: experience in systems serving large scale inference requests

🏖️ Benefits

• 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 • Diverse & inclusive people-first culture • Diverse & inclusive people-first culture