layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Staff Systems Engineer - AV Architecture at General Motors

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 hardware, software, and safety related system architectures.
Balance trade-offs in compute resources (CPU, GPU, NPU), memory (RAM), and communication bandwidth (Ethernet) for hardware and .
Perform system resource allocation, profiling, and optimization to meet performance, power, latency, and reliability targets.
Define logical and functional architectures to decompose the system, define data flows and subsystem interactions, and specify how the systems will meet safety and performance requirements.
Collaborate cross-functionally with autonomy software, 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.
Your Skills & Abilities (Required Qualifications)
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, Systems Engineering, or a related technical discipline.
Minimum 6+ years of systems engineering experience, ideally within embedded systems, automotive, robotics, or related industries.
Proven track record of leading system architecture design for complex embedded platforms.
Deep understanding of AV/ADAS domain including embedded computing platforms, sensor integration, and ML-driven approaches to solving autonomy, and robotics problems.
Hands-on experience with system modeling, simulation tools, and requirements management frameworks.
Familiarity with automotive safety standards and practices 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
Exceptional candidates may also have
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.
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.
Experience contributing to strategic technical roadmaps and platform evolution.
6+ years of professional work experience
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

Staff Systems Engineer - AV Architecture

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