Sr Middleware Software Engineer

Stellantis

Auburn Hills, MI, United States

6 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

careers.stellantis.com

Tech stack

Artificial Intelligence Computing Platforms AUTomotive Open System Architecture (AUTOSAR) C++ (Programming Language) CMake Software Quality Computer Engineering Continuous Integration Software Debugging Linux Middleware Embedded Software

+8 more

Ethernet Internet Protocol Python (Programming Language) Service-Oriented Architecture Software Engineering Software Systems Git Information Technology

Job description

In this role, you will design and develop middleware and service-oriented software solutions, contribute to platform architecture, and work closely with cross-functional teams to deliver scalable, high-performance embedded systems., * Design and develop automotive middleware and platform services.

Contribute to requirements, architecture, and technical design discussions.
Develop service-oriented solutions for Linux and QNX-based platforms.
Integrate and optimize software for MCU and MPU environments.
Debug, troubleshoot, and resolve embedded software issues.
Collaborate with system, integration, validation, and supplier teams.
Drive software quality through CI/CD, automation, and modern development practices

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
A minimum of 5 years of embedded software development experience.
Strong proficiency in C/C++ and/or Python.
Experience with automotive middleware technologies such as AUTOSAR (Classic/Adaptive), SOA, or DDS.
Experience developing software on Linux and/or QNX platforms.
Knowledge of CAN, Ethernet, and SOME/IP communication protocols.
Experience debugging embedded software on target hardware.
Familiarity with Git, CMake/Bazel, Conan, and CI/CD toolchains.
Strong problem-solving, communication, and collaboration skills.
Familiarity with cloud-connected and AI-enabled vehicle platforms.