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# Staff Systems Engineer - ADAS Platform

- **Company:** General Motors
- **Location:** Warren, MI, United States
- **Experience:** Expert
- **Salary:** $157,100.0 - $258,500.0
- **Contract:** Permanent contract
- **Skills:** Computing Platforms, Systems Engineering, Profiling, Computer Engineering, Software Debugging, Linux on Embedded Systems, Middleware, Ethernet, Firmware, Software Architecture, Real-Time Operating Systems, ISO/IEC 15504, Requirements Management, Systems Architecture, Systems Integration, Data Logging, Computer Networking Systems, Information Technology, Low Latency, Data Pipelines
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-systems-engineer-adas-platform-warren-mi--1d086376-2c58-441c-9359-4b01dad1af53

## About the Role

Systems Engineering, Safety Standards, Leadership, Audiovisual, System Architecture, Requirements Management, Technical Delivery, System Integration (SI), Network Systems, Resource Management, * Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or a related technical discipline. Master's or PhD preferred.

 * Minimum 8+ years of systems engineering experience, ideally within embedded systems, automotive, robotics, or related industries.
 * Proven track record of leading system architecture design and resource allocation for complex embedded platforms.
 * Deep understanding of AV/ADAS domain including embedded computing platforms, sensor integration, and real-time constraints.
 * Strong expertise in system performance analysis and optimization, including CPU/GPU/NPU architectures, memory hierarchies, and network bandwidth management.
 * Experience with platform systems engineering: inter-board communication, logging frameworks, and device moding
 * Experience with edge compute SoC and MCU architectures.
 * Hands-on experience with system modeling, simulation tools, and requirements management frameworks.
 * Experience working with Ethernet-based automotive networks (e.g., Automotive Ethernet, TSN).
 * Familiarity with safety standards and practices (ISO 26262, ASPICE) is a plus.
 * Excellent communication skills and demonstrated ability to work effectively in cross-disciplinary teams.
 * Proven ability to navigate and solve problems characterized by high ambiguity, * Advanced degree (MS or PhD) with a focus on embedded systems, systems engineering, or related fields.
 * Experience with embedded Linux or RTOS environments in automotive or robotics applications.
 * Knowledge of AV software stacks, middleware, and sensor data processing pipelines.
 * Familiarity with system-level debugging, profiling, and telemetry tools.
 * Prior experience at a leading AV company or tier 1 automotive supplier.
 * Strong leadership skills with experience mentoring engineers and leading technical projects.
 * Understanding of power management and thermal constraints in embedded platforms.
 * Experience contributing to strategic technical roadmaps and platform evolution.

## Description

* Lead the end-to-end systems engineering for embedded autonomous vehicle (AV) and advanced driver-assistance systems (ADAS) platforms.
 * Define, document, and manage system-level requirements, ensuring traceability and alignment with product and safety goals.
 * Develop and maintain system architecture, balancing trade-offs in compute resources (CPU, GPU, NPU), memory (RAM), and communication bandwidth (Ethernet).
 * Perform system resource allocation, profiling, and optimization to meet performance, power, latency, and reliability targets.
 * Collaborate cross-functionally with software architecture, firmware, hardware, validation, and vehicle integration teams to ensure cohesive system design and implementation.
 * Drive technical roadmap planning and contribute to strategic decisions on future platform capabilities and scalability.
 * Identify risks and develop mitigation strategies related to system integration and performance.
 * Mentor junior engineers and foster a culture of technical excellence and innovation within the team., This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.