FPGA Emulation Engineer - Remote
In-memory compute has been taking the industry by storm because of its benefits in processing speeds, transformative capability and cost efficiency. This movement toward IMC will ultimately enable the world to analyze massive volumes of data at unprecedented speeds.
We've partnered with a Princeton spinout who have created state-of-the-art research centered around different neural network workloads faster than anything on the market. Their in-memory technology spans the foundational physics of computation, circuits that break efficiency barriers, architectures that scale effortlessly with workloads, and software that integrates seamlessly with numerous applications.
They're actively seeking an FPGA Emulation Engineer to join their fast growing team. Within the role you will work with architecture and design teams to emulate the design of their high performance AI Chips.
- Master's Degree in EE or CS with 5+ years of experience
- Strong understanding of FPGA Architecture/Design.
- Experience in large-scale SoC Emulation with tools (Zebu, Synapse, Palladium or Veloce)
- Recent experience in emulating chip-level design
This role can either be local to SF Bay, NYC or Remote from anywhere in the US/Canada.
If you're interested in exploring this opportunity or know someone who might be, please apply here or reach out directly to email@example.com