Full-Time

Senior ASIC Verification Engineer

Posted on 7/29/2024

Recogni

Recogni

51-200 employees

Data storage and communication services provider

Senior

San Jose, CA, USA

Category
Electronics Design Engineering
Embedded Systems Engineering
Electrical Engineering
Hardware Engineering
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 stores user preferences to enhance user experience and personalize content, while also utilizing stored data for anonymous statistical analysis. This helps clients understand trends and make informed decisions based on data-driven insights. Unlike many competitors, Recogni emphasizes user privacy and data protection, ensuring that all data is used solely for legitimate purposes. The company's goal is to support businesses in managing their data effectively while maintaining a strong commitment to privacy.

Company Size

51-200

Company Stage

Series C

Total Funding

$171.1M

Headquarters

San Jose, California

Founded

2017

Simplify Jobs

Simplify's Take

What believers are saying

  • Juniper Networks' $102M investment boosts Recogni's AI inference capabilities and strategic partnerships.
  • Kevin Johnson's board appointment offers strategic insights and networking for market expansion.
  • Growing demand for energy-efficient AI solutions aligns with Recogni's chip design focus.

What critics are saying

  • Competition from NVIDIA and Intel threatens Recogni's market share in AI inference.
  • Rapid AI advancements risk making Recogni's solutions obsolete without continuous innovation.
  • Potential regulatory scrutiny over data privacy and AI ethics could impact operations.

What makes Recogni unique

  • Recogni develops AI inference solutions focusing on high compute, low power, and scalability.
  • The company introduced Pareto AI Math, enhancing efficiency in Generative AI models.
  • Recogni's AI chips are designed to be smaller, faster, and more cost-effective.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Flexible Work Hours

Unlimited Paid Time Off

Growth & Insights and Company News

Headcount

6 month growth

2%

1 year growth

2%

2 year growth

1%
Techerati
Nov 14th, 2024
Juniper Networks invests £80.4M in AI inference company Recogni

Artificial intelligence (AI) Native Networking company, Juniper Networks, has invested £80.4 million ($102 million) in AI inference company, Recogni, to advance AI inference capabilities.

PR Newswire
Nov 12th, 2024
Juniper Networks and Recogni Announce Venture Funding and Collaboration for High Performance, Energy-Efficient and Cost-Effective Multimodal Generative AI Inference Systems

/PRNewswire/ -- Juniper Networks® (NYSE: JNPR), a leader in secure, AI-Native Networking, and Recogni, the Generative AI Inference company, have jointly...

EE News Europe
Nov 12th, 2024
Recogni's $102M AI Funding with Juniper

Recogni has secured $102 million in a Series C funding round, with participation from Juniper Networks. The collaboration aims to enhance AI inference compute for hyperscalers and enterprises, focusing on energy efficiency and performance. Juniper's CEO, Rami Rahim, highlighted the importance of cost-effectiveness and power efficiency in AI innovation. Recogni's CEO, Marc Bolitho, emphasized the potential for running large models with unprecedented speed and accuracy.

Data Center Dynamics
Sep 30th, 2024
Recogni second generation chips to focus on data center AI inference

Edge AI startup Recogni has announced plans to develop data center AI inference chips.

Tech Startups
Aug 20th, 2024
AI startup Recogni unveils new computing method to reduce AI energy consumption and cut costs

Today, Recogni introduced a new computing method designed to make its AI training and inference chips smaller, faster, and more cost-effective.

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