Senior Software Engineer, ML Infrastructure

About the Company

Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it.

Responsibilities

• Architect and scale high-performance, real-time API and data systems
• Design and implement low-latency pipelines to process and analyze large-scale event streams
• Ensure reliability through robust data integrity, availability, and consistency mechanisms
• Mentor and guide engineers on infrastructure best practices, architecture, and performance tuning
• Collaborate cross-functionally with AI researchers, product leaders, and engineers to deliver resilient, extensible systems

Requirements

• 5+ years of experience in software engineering, focusing on infrastructure or large-scale data and ML systems
• Deep expertise in distributed systems, stream processing, and scalable backend architecture
• Proven ability to design and operate low-latency, high-throughput, and fault-tolerant systems
• Strong foundation in systems design, performance tuning, and building reliable services
• Comfortable in a dynamic, high-ownership, fast-growth environment

Preferred Qualifications

• Prior experience with PyTorch model development