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Kalpa Tech Stack

Embedded systems and IoT design studio for hardware-to-cloud products

IT Services and IT Consulting Sesto San Giovanni (MI), MI 51–200 employees Founded 2012 Privately Held

Kalpa designs embedded, firmware, and cloud systems for hardware makers and IoT product teams. The stack spans bare-metal C/ARM (Trace32, gdb, Modbus) through cloud infrastructure (AWS), with emerging R&D focus on machine learning and computer vision—a forward signal of expanding beyond traditional embedded toward intelligent edge devices. The engineering-heavy hiring profile (80% of active roles) concentrated in mid-level talent suggests scaling delivery capacity rather than rebuilding leadership.

Tech Stack 29 technologies

Core StackC++ Linux Python AWS Flutter C# Angular JavaScript Java Spring C ARM Cortex Trace32 gdb Modbus Altium Qt Yocto Git C/C++ I2C UART MQTT HTTPS TCP/IP HTML5 CSS Quarkus Buildroot

What Kalpa Is Building

◆Challenges

Growing sales team

▲Active Projects

R&d on machine learning, iot, computer vision
R&s projects on machine learning
Iot r&d
R&s projects on ml and iot

Hiring Activity

Accelerating20 roles · 10 in 30d

Department

Engineering

16

Sales

4

Seniority

Mid

17

Senior

2

Junior

1

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About Kalpa

Founded in 2012 in Sesto San Giovanni near Milan, Kalpa is a 51–200-person Italian design firm specializing in hardware, embedded systems, firmware, cloud, and mobile development. The company works with clients across IoT, Industry 4.0, and connected product spaces. Services span embedded design (ARM Cortex, Linux, Yocto, Buildroot), firmware (C/C++), cloud deployment (AWS), and native mobile (Flutter). The team combines low-level systems work with modern cloud and ML tooling, positioned to handle full-stack product development from silicon to application layer.

HeadquartersSesto San Giovanni (MI), MI

Company Size51–200 employees

Founded2012

Hiring MarketsItaly

Frequently Asked Questions

What embedded and IoT technologies does Kalpa use?

Kalpa's stack includes ARM Cortex, Linux, Yocto, Buildroot, C/C++, MQTT, Modbus, I2C, UART, plus AWS for cloud connectivity and Trace32/gdb for debugging.

What is Kalpa working on in R&D?

Active R&D tracks machine learning, IoT, and computer vision—indicating expansion into intelligent/edge AI alongside traditional embedded systems design.