Full-Time

FPGA Engineer

Confirmed live in the last 24 hours

Quadric

Quadric

11-50 employees

Licensable processor IP for machine learning

Hardware
AI & Machine Learning

Mid, Senior

Burlingame, CA, USA

Required Skills
FPGA
Requirements
  • Bachelor's or Master's degree in Electrical Engineering or Computer Science
  • 7+ years of experience in FPGA design and implementation
  • Experience with FPGA and/or HAPS top-level systems
  • Vivado or equivalent toolchain
  • Experience with implementing flows to map CPU/GPU RTL on FPGA based platforms for emulation purposes
Responsibilities
  • Develop flows to run HW verification tests, SDK tests and NNs on these platforms
  • Build regression environments to ensure flow evolves with HW and SW changes
  • Triage failures and do first order debug before handing issue to HW or SW team
  • Keep broader team informed about progress with execution dashboards

Quadric.io specializes in developing scalable processor IP cores, such as the Chimera GPNPU, which optimizes machine learning inference on-device by blending scalar, vector, and matrix code seamlessly. This focus on scalable high-performance processors positions Quadric.io as a leader in advanced machine learning technologies. Employees here work with cutting-edge technology and have the opportunity to contribute to innovations that are shaping the future of on-device machine learning. The company's commitment to a unified hardware/software architecture enhances its competitive edge in a rapidly growing industry.

Company Stage

Series B

Total Funding

$48.3M

Headquarters

Burlingame, California

Founded

2017

Growth & Insights
Headcount

6 month growth

-3%

1 year growth

11%

2 year growth

72%