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Full-Time

Senior ASIC Design Engineer

Confirmed live in the last 24 hours

Recogni

Recogni

51-200 employees

High-performance AI inference for real-time object recognition

Automotive & Transportation
Hardware
AI & Machine Learning

Senior

San Jose, CA, USA

Category
Electrical Engineering
Hardware Engineering
Electronic Hardware Engineering
Required Skills
Verilog
Requirements
  • 5+ years of ASIC design experience with Verilog or System Verilog
  • Experience in IP integration, specifically CPU IP into SoC
  • Knowledge of ARM/RISC-V/MIPS Architectures, Memory hierarchy, Cache coherency, Virtual memory, Multicore CPU operation
  • Familiarity with AMBA/APB/AXI Protocol
  • Hands-on experience in ASIC development process with proficiency in front-end tools and methodologies
  • Familiarity with low power design and UPF flow
  • Previous experience with timing closure at high frequencies
  • Interest in exploring AI architectures for convolution and transformer workloads
  • B.S. (M.S. preferred) degree in Electrical or Computer engineering
Responsibilities
  • Author micro-architecture specifications and participate in specification and test plan reviews
  • Architect and implement complex RTL designs
  • Scope third party IP requirements and solicit vendors
  • Integrate CPU and other relevant IPs into the CPU sub-system
  • Collaborate with the physical design team to resolve implementation and timing issues
  • Analyze code coverage and provide feedback to the verification team
  • Perform diagnostic and post-silicon validation tests
  • Assist with software bring-up in the lab

Recogni specializes in high-performance, low-power AI inference solutions, offering the world's first Peta-Op class inference solution for real-time object recognition, enabling superhuman object detection accuracy up to 1000m and providing the industry's lowest latency and highest power efficiency. The company's technology allows for processing high-resolution camera data in real-time, enabling self-driving cars to navigate without human intervention under any condition.

Company Stage

Series C

Total Funding

$233.1M

Headquarters

San Jose, California

Founded

2017

Growth & Insights
Headcount

6 month growth

21%

1 year growth

29%

2 year growth

56%