Fullstack Engineer Data Platform

You will own infrastructure across data pipelines, GPU clusters, storage and I/O, and model-serving runtime. You will optimize scheduling, throughput, inference latency, cloud infrastructure, infrastructure as code, multi-region deployment, and reliability while making technical design decisions for substantial production systems.

Responsibilities

• Own orchestration and GPU clusters
• Build preprocessing pipelines for raw gameplay video
• Optimize disk and network I/O
• Optimize production inference through batching, quantization, KV cache, and serving runtimes
• Own infrastructure as code, multi-region deployment, and reliability
• Make and carry technical design decisions to production

Requirements

• Infrastructure engineering experience
• Cluster scheduling
• GPU
• Data pipeline
• Disk I/O
• Network I/O
• Inference optimization
• Batching
• Quantization
• KV cache
• Cloud computing
• Infrastructure as code
• Multi-region deployment
• Kubernetes
• Python
• Go
• Rust
• C++
• Terraform
• Action model
• World model
• Video understanding

Benefits

• Equity
• Medical coverage
• Dental coverage
• Vision coverage
• 401(k)
• Fertility benefits
• Parental benefits
• Generous PTO
• Daily meals
• Wellness benefits
• Commuter benefits
• Learning and development stipend