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ComputeRAM™

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About

Synthara develops ComputeRAM™, an in-memory computing (IMC) technology for embedded chips, providing a 100x speed and energy-efficiency boost. Their technology is applicable to wearables, robotics, and programmable smart sensors. The company actively collaborates with various partners and is actively recruiting for several engineering positions.

Platform
Web
Keywords
aiin-memory computingembedded chipscomputeramimc
Task
embedded chip enhancement

Features

100x speed and energy-efficiency boost

in-memory computing

embedded chips

Job Opportunities

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ComputeRAM™

Lead Memory Design Engineer

ComputeRAM™ boosts embedded chip speed and energy efficiency by 100x using in-memory computing.

engineeringonsiteZurich, CHfull-time

Benefits:

  • Be at the forefront in cutting edge, low power semiconductor development

  • Work in a collaborative, dynamic, and flexible startup culture

  • Great opportunities for professional growth and career advancement

Education Requirements:

  • BS / MS in Electrical or Computer Engineering or equivalent

Experience Requirements:

  • 7+ years of experience

Other Requirements:

  • Proven experience completing design cycles on delivered SRAM designs

  • Skill in bitcell stability analysis

  • Good understanding of high-performance and low power circuit designs with FinFet technologies

  • Proven experience as the designated responsible individual for a memory design, leading a small team of designers

  • Proficiency in scripting language: Python, Tcl

  • Experience in <22nm CMOS processes

  • Experience in Synopsys custom compiler

  • Independent, self-motivated, well-structured, creative

  • Good communication skills in English

Responsibilities:

  • Lead end to end design team for high-performance, low-power embedded SRAMs on advanced technologies

  • Memory compiler development, characterization, and verification

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Lead Software Engineer

ComputeRAM™ boosts embedded chip speed and energy efficiency by 100x using in-memory computing.

Benefits:

  • Be at the forefront of cutting-edge semiconductor technology development

  • Work in a collaborative, innovative, and dynamic startup culture

  • Opportunity for professional growth and career advancement

  • Competitive compensation package and benefits

Experience Requirements:

  • 7+ years of experience

Other Requirements:

  • Experience in team management

  • Experience in development planning

  • Experience in embedded systems or compiler design

  • Experience in embedded systems/Linux/Windows driver design

  • Experience with high-performance computing, e.g. DirectML/OpenCL

  • Knowledge of Deep Learning

  • Knowledge of Tensorflow/Pytorch

Responsibilities:

  • Lead part of the software engineering team

  • Plan the development of our software

  • Design and supervise the implementation of drivers for embedded systems

  • Design and supervise the implementation of model compilers

  • Design and supervise the implementation of software API

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Internship: Design of a UVM-based RISC-V model for Digital Functional Verification

ComputeRAM™ boosts embedded chip speed and energy efficiency by 100x using in-memory computing.

Education Requirements:

  • electronic engineering, computer science, AI, or mathematics or related fields

Other Requirements:

  • Familiarity with programming languages like C and C++, Python

  • Knowledge and experience with RISC-V processor architecture and SystemVerilog/UVM is preferable

Responsibilities:

  • Design a customizable and extendable SystemVerilog UVM-based model of a RISC-V processor, along with the development of a UVM testbench environment to ensure comprehensive integration and functionality

  • Ensure the model can support the verification of CV32E20

  • Ensure the model can support custom ISA instructions

  • Identify and overcome challenges associated with interrupt handling within the RISC-V core

  • Integrate the developed SystemVerilog model into an RTL simulator environment

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