About Etched

Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. 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.

Job Summary

• Co-Develop cutting-edge software optimized across hardware and software driving the full potential of very large AI models.

• Solve challenging problems across the full stack, from low-level drivers and APIs to high-level applications and frameworks.

• Contribute to the development of AI solutions that will revolutionize industries like natural language processing, chain of reasoning automation, generative media.

You may be a good fit if you have

• Bachelor's degree or equivalent practical experience.

• 3 years of experience in software development, and with data structures/algorithms.

• 3 years of experience developing and testing software on launching products.

• 3 years of experience with firmware design, implementation, and troubleshooting.

• 3 years of experience with embedded architectures, IO technologies (I2C, SPI, PCIe, DRAM etc.), as well as concepts like scalability, fault tolerance, and consistency.

Strong candidates may also have experience with (Nice-to-have qualifications)

• Master’s degree Computer Science, or a related technical field.

• Experience resolving customer-related issues.

• Experience solving ambiguous problems.

• Excellent verbal and written communication skills.

Benefits

• Competitive compensation packages including generous equity packages

• Comprehensive insurance coverage and other top-of-market benefits

• Unlimited compute budget subject to ROI justification

How we’re different

Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors.

We are a fully in-person team in San Jose and Taipei, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.