TetraMem - Accelerate The World Tech Stack

Analog computing chips for AI inference at ultra-low power

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

TetraMem designs analog compute-in-memory processors aimed at AI workloads, with a hardware-heavy tech stack spanning Synopsys, Cadence, SystemVerilog, and LLVM. The company is scaling engineering talent (44 active roles, mostly senior hires) while tackling hard problems: deploying neural networks on analog fabric, building internal IP for in-memory compute, and moving from R&D into production validation. Adopting Django signals early-stage software tooling for internal infrastructure.

Tech Stack 64 technologies

Core StackPython C++ PyTorch Synopsys Cadence Mentor Graphics Cadence Virtuoso SystemVerilog Verilog SPICE Perl C GCC Clang MLIR XLA LLVM FPGA ASIC RTOS Zephyr FreeRTOS AXI Arm UVM TCL Bash SystemC RISC-V ARM+33 more

AdoptingDjango

What TetraMem - Accelerate The World Is Building

◆Challenges

Running neural networks on compute-in-memory chips
Building and scaling high-performing technical teams
Moving from r&d to commercialization
Ensuring real-time performance for ai workloads
Manual inventory tracking
Lab asset management
Reducing eda cost
Optimizing eda license usage
Increasing productivity
Yield improvement

▲Active Projects

Design and validation of high-performance analog/mixed-signal circuits in compute-in-memory architecture
Soc design verification
Neural network model deployment on compute-in-memory chips
Develop reusable internal ips for ai and in-memory computing
Edge ai model development
Compiler toolchain for in-memory computing hardware
Ai accelerator development
Post-si testing and validation
Benchmark/showroom projects
Automation verification infrastructure

Hiring Activity

Accelerating45 roles · 25 in 30d

Department

Engineering

Seniority

Senior

Intern

Lead

Notable leadership hires: Software Head

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About TetraMem - Accelerate The World

TetraMem develops analog and mixed-signal processors optimized for AI inference, emphasizing power efficiency over traditional digital approaches. Founded in 2018 and headquartered in San Jose, the company employs 51–200 people, nearly all in engineering roles. They are actively designing chip architectures (compute-in-memory, SOC verification), building compiler toolchains to map neural networks onto their hardware, and running silicon post-validation. Current hiring spans the United States and Singapore.

HeadquartersSan Jose, California

Company Size51–200 employees

Founded2018

Hiring MarketsUnited States, Singapore

Frequently Asked Questions

What EDA tools does TetraMem use?

Synopsys, Cadence (including Virtuoso), and Mentor Graphics. The company lists EDA cost reduction and license optimization as active challenges, indicating heavy reliance on these platforms.

What is TetraMem working on?

Analog compute-in-memory chip design, neural network model deployment on in-memory fabric, compiler toolchains for the hardware, silicon validation, and edge AI model development.