Fathom Computing is developing high-performance machine learning computers built to run both training and inference workflows for large-scale neural networks. As ML computing is largely limited by data transfer, Fathom’s approach combines the power of CMOS electronics with advantages of optical data movement for performance far beyond what electronics-only computers are capable of.
We’re seeking a digital ASIC designer with a strong first principles approach to IC design, and an interest in neural networks and ML hardware. We are building a new kind of ML processor that will define the next generation of compute hardware. You will collaborate closely with colleagues from other disciplines (e.g. optics) on the design and implementation of novel optoelectronic hardware.
Your scope of ownership includes silicon architecture; IC design, implementation, and validation; and working with SW to build accurate simulations.
Areas of contribution
Drive the design and implementation of the electronic aspects of a novel, complex, high-performance, deeply-integrated computing system
Contribute to the development and stewardship of all aspects of the system such as power budgets, thermal solutions, chip-level, and system-level architecture.
Select outside vendors and work with them to implement and fabricate custom ICs
BS/MS/PhD in EE, ECE or equivalent experience
Experience in full custom digital ASIC design
Experience with Verilog/systemverilog
Experience in IP integration and SoC level design (memories, IO, interconnect)
Experience with ASIC design flow, from architecture to synthesis and verification
Hands-on experience in prototype bring-up, debugging, and functional verification
Excellent communication skills and ability to collaborate on complex cross-disciplinary systems
Drive to build something that hasn’t been built before
Familiarity with UVM
Experience with high speed SERDES & PCIe
Design experience in advanced nodes
Deep understanding of the underlying physics in current silicon electronics
Knowledge or experience in machine learning and computer architecture
You'll do well here if...
You enjoy thoughtful discussions fueled by problem-solving and logic
You're comfortable both leading and contributing individually
You're excited about the future of ML hardware and how it can change the world
You enjoy teaching and learning from an interdisciplinary team
We highly encourage submission of a cover letter, just tell us why you're here :)
About Fathom Computing
We believe that coming advancements in artificial intelligence have the potential to change our world like nothing that has come before. Our mission is to build better hardware for AI development and use, and to ensure that the benefits of these increased capabilities serve to improve all lives.