Member of Technical Staff, Etched
Firmware
More information about location
Designing specialised chips for language model inference
Open for applications
Designing specialised chips for language model inference
21-100 employees
Open for applications
More information about location
21-100 employees
Company mission
To create the world’s most powerful servers for transformer inference.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- Co-Develop cutting-edge software optimized across hardware and software driving the full potential of very large transformer 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
Our take
With AI developing rapidly, the chips that power them are doing so too. The computing requirements of technologies such as Chat GPT will increasingly require customised, hard-wired chips called ASICS, designed specially for the execution of AI models. Whilst GPUs are currently used for AI computing, Etched is making a bet on AI-hardwired chips becoming the predominant powering force of AI.
It’s a gamble, the founders themselves know that if transformers become obsolete, so will their AI-powering product. The SOHU chip that Etched builds differs from GPUs in that it has the AI architecture etched into the chip itself. General Processing Units are “general” and costly, so Etched is betting on specialised transformers taking their place in the near future.
Investors are drawn to Etched’s boldness. The 2022-founded company achieved $120 million in Series A funding just two years into its life, and received a further $500 million at the start of 2026. Etched plans to use this to amp up its competition with GPU company Nvidia, and claims to be 20 times faster than the latter’s AI-powered general processor - and significantly less costly too. Time will tell if Etched’s exciting and potentially revolutionary bet on tailored AI chips and transformers pays off.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Jan 2026
$500m
LATE VC
Jun 2024
$120m
SERIES A
Total funding: $625.4m
Company benefits
- Competitive Salary and Equity - We offer a competitive salary and equity package that aligns with industry standards
- Benefits - Your wellbeing is important to us. We offer unlimited PTO, life insurance, and a 401(k)
- Full Insurance Coverage - Our insurance includes full medical, dental, and vision with 100% of premium covered
Company HQ
Horace Mann and SJSU, San Jose, CA
Leadership
Robert Wachen
(Co-Founder & President)Also the Co-Founder of Prod and Mentor Labs, Birthday Cakes 4 Free Maryland and Generate Sales Online.
Gavin Uberti
(Co-Founder & CEO)Previously Software Engineer at OctoML, Algorithms and BAckend Engineer at Coursedog and was a Software Engineer Intern at Xnor.ai.
Chris Zhu
(Co-Founder)Was a Teaching Fellow at Harvard and a Software Engineering Intern at Amazon and AvantStay. Was an Analyst at Harvard Undergraduate Capital Partners.
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