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Full-Time

Senior ASIC Verification Engineer

Confirmed live in the last 24 hours

Recogni

Recogni

51-200 employees

Data storage and communication services provider

Cybersecurity
Data & Analytics
Enterprise Software

Senior, Expert

San Jose, CA, USA

Category
Embedded Systems Engineering
Electrical Engineering
Hardware Engineering
Hardware Validation & Testing
Required Skills
Verilog
Python
Perl
Requirements
  • 5+ years of ASIC verification experience.
  • Knowledge of ARM/MIPS/RISC-V Architectures, Memory hierarchy, Cache coherency, Virtual memory, Multicore CPU operation
  • Familiarity with AMBA/APB/AXI Protocol
  • Familiarity with processor peripheral interfaces like SPI, eMMC, *MII, GPIO, I2C ....
  • Excellent Verilog/System Verilog programming skills.
  • Experience with UVM (or similar).
  • Deep understanding of object oriented programming principles, constrained random stimulus, and a coverage driven verification approach.
  • Scripting experience (Python, Perl, TCL, shell programming) highly-desirable.
  • Interest to explore AI architectures for convolution, transformer and other kinds of workloads
  • Self-starter and highly-motivated to work in a dynamic start-up environment.
  • B.S. degree in Electrical or Computer engineering (or similar field).
Responsibilities
  • Ensure the pre-silicon correctness and quality of a multi-million gate ASIC that integrates computational accelerators and 3rd-party SoC IP blocks.
  • SoC/Subsystem verification of embedded CPUs such as ARM/RISC-V and interconnect subsystem (including C and assembly diag validation)
  • Develop the block-level, sub-system and full-chip verification environment and tests to implement test plans.
  • Work closely with design and architecture teams to understand the functional and performance goals of the design; and work together to make the design-under-test work under all specified circumstances.
  • Triage and debug functional and performance issues with the design-under-test.
  • Handle bug tracking and coverage convergence.
  • Perform diagnostic and post-silicon validation tests in the lab.

Recogni provides essential services for data storage and communication, focusing on the needs of businesses and organizations. Their services ensure reliable and secure data transmission, which is crucial for the smooth operation of electronic communications networks. Recogni allows clients to store user preferences, which can enhance user experience and personalize content, even if these preferences are not explicitly requested by users. Additionally, the company utilizes stored data for statistical analysis, helping clients understand trends and make informed decisions while maintaining a commitment to user privacy by using data exclusively for anonymous purposes. Unlike many competitors, Recogni emphasizes data protection and privacy in its operations. The company's goal is to support businesses in managing their data effectively while ensuring that user information remains secure.

Company Stage

Series C

Total Funding

$233.1M

Headquarters

San Jose, California

Founded

2017

Growth & Insights
Headcount

6 month growth

13%

1 year growth

37%

2 year growth

59%
Simplify Jobs

Simplify's Take

What believers are saying

  • The recent $102 million Series C funding round provides significant capital for advancing AI solutions and meeting market demand.
  • The appointment of industry veteran Kevin Johnson to the board brings valuable leadership and growth expertise to the company.
  • Recogni's innovative AI inference technology has the potential to revolutionize the automotive and AI industries, offering substantial growth opportunities.

What critics are saying

  • The high costs and energy demands associated with AI development could strain Recogni's financial resources.
  • The competitive landscape in AI and data storage sectors may pose challenges in maintaining market share.

What makes Recogni unique

  • Recogni's focus on AI inference technology for silicon and systems sets it apart from traditional data storage and communication companies.
  • The company's commitment to economic and environmental sustainability in AI development is a unique selling point in the tech industry.
  • Recogni's emphasis on user privacy and data protection, especially in anonymous statistical analysis, differentiates it from competitors who may not prioritize these aspects.