Member of Engineering (Inference Infrastructure)
Poolside · Remote · Remote (EMEA) ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote (EU/NA)
- Go + Kubernetes
- Monthly Paris meetups
- 37 days vacation
- Senior level
Join the compute team at Poolside to enhance GPU utilization and build a stable, scalable inference serving stack. You will partner with inference and scalability teams to improve throughput, latency, and fault tolerance for large-scale training and evaluation.
What you'll do
- Design internal scheduling systems to maximize GPU utilization across the company
- Build APIs and tooling for managing GPU workload lifecycles and troubleshooting
- Improve the inference control plane to accelerate model deployment and request serving
- Collaborate with researchers to continuously enhance research velocity and system stability
What you'll need
- Strong programming skills in Go or similar systems languages
- Deep background in distributed systems, schedulers, or high-throughput data planes
- Production experience with Kubernetes internals like controllers, informers, and operators
- Focus on observability and debuggability for navigating production issues effectively
Nice to have
- Experience in systems serving large-scale inference requests
Stack
- Go
- Kubernetes
How you'll work
- Fully remote with flexible hours
- Team distributed across Europe and North America
- Monthly 3-day in-person collaboration in Paris
- Annual longer off-site gatherings
What you get
- 37 days of vacation and holidays per year
- Health insurance allowance for employees and dependents
- 16 weeks of flexible, full-pay parental leave
- Allowances for well-being, learning, and home office setup
- Company-provided equipment
Hiring process
- Introductory call with a team member
- Technical interviews with Members of Engineering
- Team fit discussion with the People team
- Final interview with a Founding Engineer