Etchedai

Firmware Engineer

Cupertino, CA

Sponsorship not specifiedDetected 118 days ago

Full-Stack DevelopmentData StructuresNLPCommunication

About the role

And we're bringing this technology to market in months, not years.
To Apply: Please visit our website at etched.ai/careers to submit your resume and cover letter.

Co-Develop cutting-edge software optimized across hardware and software driving the full potential of very large transformer models.
Our ASIC systems deliver orders of magnitude higher performance than conventional AI chips.
Etched is actively developing Sohu, an ASIC exclusively for transformers, which will enable products that would be impossible with GPUs, like real-time video generation models and extremely deep chain-of-thought reasoning.
Sohu is hard-coded for individual model architectures and only supports transformers, but has an order of magnitude more throughput and lower latency than a B200.

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.

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.
Work on the most advanced AI hardware in the world.
Make a meaningful contribution to the future of technology.
If you're a talented software engineer who's excited to shape the future of AI, we encourage you to apply!
Please visit our website at etched.ai/careers to submit your resume and cover letter.

Etched was founded on the belief that new hardware will be needed to run human- and superhuman-level artificial intelligence.

This listing is sourced directly from Etchedai's careers page and normalized into a canonical job model.