Embedded Software Engineer QNX

Embitel Technologies; Pune District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Embitel Technologies in Pune invites an experienced embedded software engineer to design and implement robust applications on QNX Neutrino RTOS, using C/C++ for ARM64 platforms and integrating cloud services. The role emphasizes hands-on problem solving and system integration in a cloud-enabled embedded stack.

You will work across Linux-based environments, with virtualization, CI/CD practices, and performance analysis, contributing to middleware concepts in connected systems.

Qualifications

• 5+ years of embedded software development experience.
• Proficient in C/C++ and QNX Neutrino RTOS.
• Strong understanding of ARM64 (AArch64) architecture.
• Experience with cloud platforms (Azure/AWS) and Linux-based development.
• Familiarity with networking, IPC, and middleware concepts in QNX.

Responsibilities

• 5+ years of embedded software development experience.
• Strong hands-on experience with QNX Neutrino RTOS.
• Experience developing applications in C/C++.
• Strong understanding of ARM64 (AArch64) architecture.
• Experience with Azure and/or AWS cloud platforms.
• Knowledge of networking, IPC, and middleware concepts in QNX.
• Experience with Linux-based development environments.
• Familiarity with virtualization and cloud-hosted embedded systems.
• Experience with debugging and performance analysis tools.

Skills

Embedded software development

C/C++

QNX Neutrino RTOS

ARM64 (AArch64) architecture

Azure and/or AWS cloud platforms

Networking, IPC, and middleware in QNX

Linux-based development environments

Virtualization and cloud-hosted.embed

Debugging and performance analysis

SDV platforms experience

Tools

Docker

Kubernetes

CI/CD pipelines

Job description

Role & responsibilities

• 5+ years of embedded software development experience
• Strong hands-on experience with QNX Neutrino RTOS
• Experience developing applications in C/C++
• Strong understanding of ARM64 (AArch64) architecture
• Experience with Azure and/or AWS cloud platforms
• Knowledge of networking, IPC, and middleware concepts in QNX
• Experience with Linux-based development environments
• Familiarity with virtualization and cloud-hosted embedded systems
• Experience with debugging and performance analysis tools

Preferred candidate profile

• Experience with Software Defined Vehicle (SDV) platforms
• Exposure to virtual ECU (vECU) environments
• Knowledge of AUTOSAR Adaptive Platform
• Experience with CI/CD pipelines and cloud automation
• Containerization experience (Docker, Kubernetes)
• Automotive communication protocols (CAN, Ethernet, SOME/IP, DDS)