Firmware Engineer — AI Inference Hardware

Etched.ai, Inc.; Austin, Northern (TX, KY); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical benefits

Dental and vision coverage

Monthly lunch in office

Unlimited compute budget

Job summary

Etched.ai, Inc. is building hardware for frontier intelligence and is seeking a software engineer to co-develop software optimized across hardware and software to unlock the full potential of very large AI models.

You will tackle challenges across the stack, from low-level drivers to high-level applications, and contribute to AI solutions with potential to transform NLP and generative media.

Qualifications

• Bachelor's degree or equivalent practical experience.
• Experience in software development, and with data structures/algorithms.
• Experience developing and testing software on launching products.
• Experience with firmware design, implementation, and troubleshooting.
• Experience with embedded architectures, IO technologies (I2C, SPI, PCIe, DRAM etc.), as well as concepts like scalability, fault tolerance, and consistency.

Responsibilities

• 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.

Skills

Software development

Data structures/algorithms

Embedded architectures

IO technologies (I2C, SPI, PCIe, DRAM)

Troubleshooting

Launch products experience

Education

Bachelor's degree or equivalent practical experience

Tools

Firmware design

Job description

Etched.ai, Inc. is building hardware for frontier intelligence and is seeking a software engineer to co-develop software optimized across hardware and software to unlock the full potential of very large AI models.

You will tackle challenges across the stack, from low-level drivers to high-level applications, and contribute to AI solutions with potential to transform NLP and generative media.