Software Intern

Etched•San Jose, CA

9h•Onsite

About The Position

Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. The roles We are hiring software interns across four tracks (systems, firmware, infrastructure, and chip simulation/tooling). You do not need experience in all tracks. Strength in one area is sufficient. Our systems software role focuses on the design, development, and deployment of ML system software required for operating rack-scale systems. Your work will span network performance, telemetry creation and processing pipelines, and analysis of system-level health and performance. System SW is also responsible for the deployment and provisioning of software frameworks and hardware validation, maintaining secure and performant systems for data center scale ML workloads. In our firmware role, you will help develop firmware for custom ASICs designed to run large transformer models efficiently. You’ll work across the stack—from low-level drivers, hardware interfaces, and system initialization code to integration with runtime libraries and model-execution frameworks. Your work will focus on making the hardware operate reliably and at peak performance, enabling high-throughput inference and training workloads. You’ll collaborate with hardware, architecture, and software teams to bring up new silicon, validate features, and support real-world AI applications. Our infrastructure and core software roles drive the development and adoption of next-generation infrastructure tooling, enabling Etched ASIC, Software, and Platform engineers to iterate faster, build more reliably, and push the boundaries of AI performance. This includes working on our hybrid-cloud high-performance compute (HPC) clusters, massively parallel CI executions, Infrastructure-as-code, scale-out observability platform with LLM integration, and building high-quality tools that engineers love using. Our chip simulation and tooling role will co-design, develop, and test simulations of our custom hardware and tools that engineers use to analyze those systems. You will be working at the cutting edge of hardware innovation, closely coordinating with both software and hardware teams across their whole development path.

Requirements

Progress towards a Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related technical field.
Proficiency in C/C++ or Rust
Proficiency in Python (for interns interested in systems software)
Strong fundamentals in data structures and algorithms
Strong understanding of low-level software engineering
Strong understanding of hardware/software co-design
Excellent communication and collaboration skills