echoloc/ Companies/ TetraMem - Accelerate The World

Company profile

TetraMem - Accelerate The World Tech Stack

Analog in-memory computing chips for low-power edge AI inference

Computer Hardware Manufacturing San Jose, California 51–200 employees Founded 2018 Privately Held

TetraMem designs analog in-memory computing silicon for AI inference, with a stack spanning full-custom analog (Cadence Virtuoso, Spectre, SPICE), digital RTL and UVM verification, and an edge ML deployment layer (TensorRT, ONNX Runtime, ExecuTorch, Core ML, NCNN). Accelerating, senior-heavy engineering hiring plus EDA license cost pressure point to a company pushing ASIC/SoC tape-outs while building the software path for embedded AI models.

Tech Stack 72 technologies

Core StackPython PyTorch TensorFlow C++ C# Cadence Virtuoso Spectre SPICE Verilog SystemVerilog ModelSim Tcl TensorFlow Lite JAX NVIDIA TensorRT ONNX Runtime ExecuTorch ONNX NCNN Core ML FPGA ASIC UVM Perl RISC-V AXI SystemC DSP Synopsys Cadence+38 more

What TetraMem - Accelerate The World Is BuildingChallenges and projects from their job posts

◆Challenges

Improving AI inference speed and latency
Reducing power consumption of AI hardware
Controlling EDA license usage and cost
Long, complex sales cycles
Maintaining a secure IT environment

▲Active Projects

AI accelerator RTL design for ASIC/SoC products
Reusable IP for AI and in-memory computing
FPGA, ASIC and ML acceleration firmware
Embedded AI products and edge audio models
IP block integration and system validation
Advanced ML techniques for embedded AI

Hiring Activity

Accelerating25 roles · 20 in 30d

Department

Engineering

Support

Marketing

Sales

Seniority

Senior

Mid

Intern

Lead

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About TetraMem - Accelerate The World

TetraMem is a privately held computer hardware company founded in 2018 and headquartered in San Jose, California, with 51–200 employees. It develops analog computing technology aimed at running AI workloads with very low power draw. Work covers AI accelerator RTL design, FPGA and ASIC firmware, reusable in-memory computing IP, and embedded AI products such as edge audio processing models. The company hires in the United States and Singapore, with a small sales and marketing function supporting long, complex deal cycles.

HeadquartersSan Jose, California

Company Size51–200 employees

Founded2018

Hiring MarketsUnited States, Singapore

Frequently Asked Questions

What tech stack does TetraMem use?

TetraMem uses Cadence Virtuoso, Spectre, SPICE, Verilog, SystemVerilog, UVM, Synopsys tools and RISC-V for chip design, plus Python, C++, PyTorch, TensorFlow, JAX, ONNX Runtime, TensorRT and ExecuTorch for ML.

What is TetraMem working on?

TetraMem is building AI accelerators, including RTL design and verification for its ASIC/SoC products, machine learning acceleration firmware, reusable in-memory computing IP, and edge AI audio processing models.

Where does TetraMem hire?

TetraMem, headquartered in San Jose, California, hires in the United States and Singapore, with recruiting concentrated in senior engineering roles and hiring velocity accelerating.

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How this profile is built

TetraMem - Accelerate The World's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.