Staff BSW SoC Core Engineer - Middleware

Core 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.

Benefits

Comprehensive Health & Well-being Coverage

Family Building Benefit

Generous Paid Time Off

Competitive Retirement Savings Plans

Support for Your Growth and Giving Back