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Staff BSW SoC Core Engineer - Middleware

Auburn Hills, MI, US • Posted 5 hours ago • Updated 5 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

Stacks Blockchain
Real-time
Configuration Management
Performance Tuning
HPC
Scalability
System On A Chip
CPU
System Integration
Debugging
Regulatory Compliance
Embedded Software
Intellectual Property
IP
SD
RTOS
Thread
Management
Scheduling
C++
Middleware
IPC
Communication
Ethernet
TCP/IP
UDP
IPv4
IPv6
High Performance Computing
QNX
Linux
Workflow
CMake
Version Control
Git
V-Model
Computer Science
Computer Engineering
Electrical Engineering
AUTOSAR
UCM
Cryptography
SIP
Operating Systems
Hypervisor
QEMU
POSIX
Cyber Security
ISO 9000
Scripting
Python
Shell
Collaboration

Summary

We are seeking a Staff BSW SoC Core Engineer - Middleware to lead the design, development, and integration of middleware stacks on high-performance computing (HPC) platforms running QNX and Linux OS. These HPC platforms power applications across ADAS, Body, Cockpit, and Connectivity domains, making this role central to enabling efficient inter-process communication, configuring and optimizing basic software (BSW) components, and ensuring seamless interaction between system services and application layers in safety-critical automotive environments.

You will collaborate closely with cross-functional teams - including in-house engineering groups and external vendors - to deliver scalable, reliable, real-time middleware solutions aligned with automotive standards and best practices. Core responsibilities span system configuration management, performance tuning, troubleshooting, and compliance with functional safety and cybersecurity frameworks.

Key Responsibilities:

Design and develop middleware services and frameworks for QNX and Linux-based HPC platforms supporting ADAS, Body, Cockpit, and Connectivity domains
Drive integration of Adaptive AUTOSAR middleware components and service-oriented architectures
Implement and optimize inter-process communication (IPC) mechanisms for performance and scalability
Lead middleware bring-up, configuration, and deployment across multiple SoC variants
Analyze and optimize CPU, memory, and latency performance across middleware layers
Troubleshoot complex system issues across OS, middleware, and application boundaries
Define and maintain middleware architecture guidelines, best practices, and reusable components
Collaborate with OS, Hypervisor, and application teams for end-to-end system integration
Support system validation, debugging, and production readiness activities
Ensure compliance with automotive processes, safety, and cybersecurity standards

Basic Qualifications:

Bachelor's degree in Electrical Engineering, Computer Science Engineering, or a related field
A minimum of 8 years of experience in embedded software development
Strong understanding of Adaptive AUTOSAR architecture and service-oriented communication (SOME/IP, SOME/IP-SD)
Hands-on experience with QNX Neutrino RTOS, including microkernel architecture, process/thread management, and scheduling
Proficiency in modern C++ (C++11/14/17 or later) with hands-on middleware and daemon development
Deep knowledge of inter-process communication (IPC), serialization, and service abstraction layers
Familiarity with automotive communication protocols: CAN, Ethernet, TCP/IP, UDP, IPv4/IPv6
Experience with automotive SoCs and high-performance computing platforms
Strong QNX/Linux-based development workflow experience
Proficiency with cross-compilation toolchains and build systems (CMake, Make, or Bazel)
Solid version control practices using Git
Familiarity with automotive development processes (ASPICE, V-model)

Preferred Qualifications:

Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
Hands-on experience with Adaptive AUTOSAR Functional Groups/Clusters: ARA::COM, UCM, FOTA, CRYPTO, and Adaptive SIP integration
Working knowledge of POSIX operating systems, hypervisor concepts, and QEMU or other POSIX emulators
Understanding of functional safety and cybersecurity standards (ISO 26262, ISO/SAE 21434)
Proficiency in scripting languages (Python, Shell) for automation and validation
Demonstrated ability to drive cross-functional collaboration across internal teams and third-party vendors

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183256
Position Id: b1b8b32b2a5f8840d29b07a834048e58
Posted 5 hours ago

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