Senior Software Engineer (AI Inference & Runtime Platform)

📋 Description

• Manage the model-serving infrastructure for open-weight large language models, including
• Operate and improve the Kubernetes infrastructure supporting inference and sandbox workloads
• Own the stateful data plane end to end, ensuring reliable operation, documented recovery
• Develop and maintain the secure agent-sandboxing runtime and host-side control plane, covering
• Build and maintain FastAPI control-plane services, infrastructure-as-code configurations using
• Provide the infrastructure foundation used by backend engineering teams, collaborating across

🎯 Requirements

• At least 5 years of experience delivering production systems using a systems programming language.
• Solid understanding of asynchronous runtimes, memory safety, and low-level debugging, including
• Hands-on experience operating Kubernetes workloads that other teams depend on, including
• Proven ability to threat-model isolation boundaries involving technologies such as namespaces
• Practical knowledge of secure AI-agent execution, including least-privilege access, preventing
• Experience deploying or operating open-weight LLM inference infrastructure, such as vLLM, SGLang

🎁 Benefits

• Salary: $140,000–$230,000, with compensation determined by experience, capabilities, and location.
• Equity: Equity participation in an early-stage company.
• Bonus: Eligibility for performance-related bonus compensation.
• Healthcare: Health insurance with meaningful coverage for dependents.
• Flexible time off: Paid time off designed to support flexibility and work-life balance.
• Remote work: Fully remote working culture, with a cluster of teammates based in Seattle.