SiMa.ai Tech Stack

Purpose-built AI hardware and software platform for robotics and edge compute

Software Development San Jose, California 201–500 employees Founded 2018 Privately Held

SiMa.ai designs hardware-software stacks for physical AI inference at the edge—robotics, automotive, industrial automation, aerospace, and smart vision. The tech stack reveals deep silicon specialization: custom RTL logic, PCIe bring-up, Linux kernel drivers for image sensors, and support for ARM/RISC-V/Xilinx processors alongside NVIDIA Jetson and NXP platforms. Active projects around multi-camera MIPI CSI-2 integration and next-generation AI SoC designs signal a company building purpose-built silicon rather than general-purpose accelerators. Leadership hiring (12 principal-level, 3 directors) and design-scaling pains suggest they're moving from startup engineering to platform maturity.

Tech Stack 48 technologies

Core StackPyTorch TensorFlow Python C++ Linux PCIe Ethernet USB ONNX GStreamer ARM RISC-V Xilinx Versal OpenCV OpenCL C MIPI CSI-2 V4L2 NVIDIA Jetson NXP i.MX Snapdragon UVM SystemVerilog C/C++ ROS ROS 2 Cartographer ORB-SLAM transformers Gazebo+18 more

AdoptingMIPI CSI-2

What SiMa.ai Is Building

◆Challenges

Optimizing real-time neural network algorithms
Software integration challenges
Customer onboarding challenges
High-volume interview scheduling
Scaling design team
Meeting aggressive schedules
Retain top talent
Scale with growth
Ppa optimization
Timing area power constraints

▲Active Projects

Multi-camera system integration over mipi csi-2
Generative ai r&d for robotics
Pcie bring-up and debug on emulator
Custom rtl logic development for interface optimization
Perception and navigation systems
Deep learning integration for robotics
Gstreamer algorithm plugins
Next-generation edge ai soc platform
Next-generation mlsoc designs
Linux kernel driver development for image sensors

Hiring Activity

Steady35 roles · 10 in 30d

Department

Engineering

Seniority

Principal

Senior

Staff

Director

Junior

Mid

Notable leadership hires: People & Culture Director

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About SiMa.ai

SiMa.ai builds hardware and software platforms for deploying machine learning models on edge devices in robotics, autonomous systems, and industrial applications. The company ships integrated HW/SW stacks optimized for latency, power efficiency, and ease of integration. Founded in 2018 and headquartered in San Jose, the company operates across the full stack—from RTL and kernel-level drivers through PyTorch/TensorFlow model integration, computer vision (OpenCV, ORB-SLAM), and robotics frameworks (ROS 2, Gazebo). Engineering dominates the org, with active hiring in the United States, Germany, and India.

HeadquartersSan Jose, California

Company Size201–500 employees

Founded2018

Hiring MarketsGermany, United States, India

Frequently Asked Questions

What hardware platforms does SiMa.ai support?

SiMa.ai supports ARM, RISC-V, and Xilinx Versal architectures, plus integration with NVIDIA Jetson and NXP i.MX processors. The stack includes PCIe, Ethernet, USB, and MIPI CSI-2 for camera interfaces.

What machine learning frameworks does SiMa.ai use?

PyTorch and TensorFlow are primary, with ONNX for model interchange. The stack includes transformers, OpenCV for vision, and custom optimization for real-time neural network inference on edge hardware.