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 verification engineer with a strong first principles approach to IC design and verification with an interest in neural networks and ML hardware. You will collaborate closely with colleagues from other disciplines to lead the verification effort for our ML accelerator.
Your primary scope of ownership includes verification planning, verification environment development, simulation, and data analysis. You should also be comfortable contributing to ASIC design.
Areas of contribution
Plan, document, and implement ASIC verification strategy including determining appropriate toolset, methodologies, metrics, and coverage
Develop simulation platform and automate collection of verification metrics
Along with other designers, determine the appropriate course of action for correcting bugs found through the verification platform
MS/PhD in Computer Engineering, Electrical Engineering, or Computer Science
Wide range of experience in digital ASIC design
Proficiency in Cadence or Synopsys simulation and modeling tools
Hands-on experience in prototype bring-up, debugging, and functional verification
Thorough understanding of UVM in SystemVerilog
Ability to perform comprehensive electronic system characterization
Strong project management, planning, and organizational skills
Excellent communication skills and ability to collaborate on complex cross-disciplinary systems
Drive to build something that hasn’t been built before
Significant academic or work contributions (including but not limited to published papers, patents, industry, and personal projects)
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
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.