
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
Features
• 100x speed and energy-efficiency boost
• in-memory computing
• embedded chips
Job Opportunities
Lead Memory Design Engineer
ComputeRAM™ boosts embedded chip speed and energy efficiency by 100x using in-memory computing.
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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