Fullstack Engineer - Data Platform
Own the infrastructure connecting massive gameplay data pipelines, GPU clusters, storage, and production inference for action and world models. The role requires substantial hard-infrastructure ownership, hands-on coding, and experience taking systems from design through production.
About the job
Responsibilities
- Own orchestration and GPU clusters, including scheduling, utilization, and capacity.
- Build preprocessing pipelines that transform large volumes of raw gameplay video into training-ready data.
- Diagnose and optimize disk and network I/O bottlenecks.
- Optimize production inference through batching, quantization, KV caching, and serving runtimes; own latency and cost metrics.
- Manage infrastructure across cloud providers, including infrastructure as code and multi-region deployments.
- Own system design decisions and carry substantial infrastructure systems through production.
- Serve as a technical reference for system designs across General Intuition and Medal.
- Continue writing production code and collaborating directly with the founding team.
Requirements
- At least 5 years of experience going deep on hard infrastructure, or at least 1 year building as a founder, co-founder, or founding engineer after substantial infrastructure experience.
- Demonstrated ownership of substantial systems, including technology selection and production delivery.
- Current hands-on coding experience.
- Experience with orchestration, GPU clusters, data pipelines, storage and I/O, inference systems, and infrastructure reliability.
Technical Stack
- Kubernetes
- Multi-region systems
- GPUs
- Python
- Go
- Rust
- C++
- Terraform
- Cloud platforms
- Action models
- World models
- Video understanding
Compensation and Benefits
- Salary: $180,000–$300,000 annually.
- Meaningful equity.
- Medical, dental, and vision coverage.
- 401(k).
- Wellness and fitness perks, including Wellhub membership and mental health resources.
- Paid parental leave, fertility and maternal health benefits.
- Generous paid time off.
- Daily meals and commuter benefits at the New York City headquarters.
- Learning and development stipend.
- Benefits vary by country and employment type.
Skills
Kubernetes, Gpu Computing, Python, Go, Rust, C++, Terraform, Infrastructure As Code, Multi-Region Deployment, Cloud Computing, Data Pipelines, Inference Optimization, Quantization, Kv Cache, Video Processing
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