Newgrad ASIC Verification Engineer - Autonomous Driving Technology Leader

Recogni
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Job Description

As a member of the Recogni ASIC Design & Verification team, you will contribute to the development of high-performance and low-power convolutional neural network accelerator ASIC that forms the core of the company’s flagship perception module product for autonomous driving applications.

This ASIC’s design closely couples novel computational accelerator units with 3rd-party SoC IP blocks to form an end-to-end vision perception module that achieves record-breaking computational performance at low power.

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.

Required Qualifications:

  • Master's or higher degree in Computer Engineering, Electrical Engineering, or similar field.
  • Strong knowledge of C/C++, Verilog, and System Verilog. 
  • Strong knowledge and/or coursework in computer architecture, Digital design, and VLSI.
  • Exposure with design and verification tools (Synthesis/ Simulation/ Waveform).
  • Knowledge of x86/ARM/RISC-V computer architectures, memory hierarchy, cache coherency, virtual memory, multicore CPU operation.
  • Self-starter and highly-motivated to work in a dynamic start-up environment.

Preferred qualifications:

  • Knowledge of and/or experience with UVM and Python.
  • Familiarity with AMBA/APB/AXI Protocol.
  • Internship or project work in computer architecture, logic design, or verification.
  • Knowledge of and/or experience with AI/ML accelerators
  • Knowledge of and/or ASIC or SOC utilizing ARM cores

Reasons to consider joining Recogni:

  • Ground floor opportunity with the team; be part of shaping one of the most exciting new companies.
  • Unique opportunity for new college graduates to join a growing silicon team; to learn and work on a full life cycle of chip development - architecture, design, verification and post silicon bringup.
  • Learning and development opportunities from a highly diverse and talented peer group, including experts in a wide range of fields, from Artificial Intelligence & Computer Vision to Systems & Device Engineering.
  • Competitive benefits package including Medical, Vision, Dental
  • Perks including meals, snacks, drinks and us!
  • Sharp, motivated co-workers in a fun office environment
  • Employee Stock Purchase Plan
  • Flexible work hours & generous PTO policy

Recogni's culture was built on the following values that are equally important to us as business:

  • Put people first. We only succeed when our people succeed.
  • Ethics and integrity always; Being open, honest, and respectful of everyone.
  • Think Big. Be ambitious and have audacious goals.
  • Aim for excellence. Quality and excellence count in everything we do.
  • Own it and get it done. Results matter!
  • Make Each Person Better together than they would be as an individual.
  • Embrace each others’ differences.
  • Embrace that there will be differences.

Company Info.

Recogni

The automobile industry has arrived at a crossroads. The transition to electric vehicles (EV) and the vitalized development of fully-autonomous vehicles (AV) has placed a big burden on fitting extraordinary amounts of computational power for artificial intelligence within the energy budget of batteries without affecting range. While battery technology is improving slowly, advances in compute efficiency have stalled as mere Moore's Law scaling of

  • Industry
    Computer hardware,Autonomous technology
  • No. of Employees
    200
  • Location
    San Jose, CA, USA
  • Website
  • Jobs Posted

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