Senior Principal Runtime Engineer

Highlights

• Build high-performance distributed runtime for AI training and inference at scale.
• Power next-gen RDU-based systems for agentic and long-running AI workloads.
• Collaborate across hardware, compiler and ML teams on full-stack AI platform.

What they offer

• Equity as part of total rewards package
• 95% employee medical premium coverage, 77% for dependents
• HSA with employer contribution plus dental and vision coverage
• Disability, life and AD&D insurance plus FSA options
• Headspace, Gympass+, One Medical and EAP well-being benefits

Ideal candidate

A systems-minded engineer with 5+ years building distributed high-performance software who thrives at the hardware-software boundary and cares about performance, reliability and scaling AI workloads.

Requirements

• B.S. in Computer Science, Engineering, or related field
• 5+ years of software engineering experience with distributed systems, networking or cloud infrastructure
• Proven experience building, testing and tuning software for distributed, high-performance systems
• In-depth knowledge of user libraries and runtime stacks
• Solid understanding of switching and routing and switch/router configuration and debugging
• Significant experience with RDMA and RoCE networking stacks and congestion management
• Hands-on experience with kernel drivers and system-level software interfacing with hardware
• Expertise designing systems for massive parallel ML training and inference workloads
• Deep understanding of hardware-software interaction and accelerator design
• Familiarity with distributed systems architecture and scaling compute resources