layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

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

LAYIQ - Software Engineer, AV Data Collection - Early Career at General Motors

Develop embedded vehicle software that collects high-value data for autonomous driving AI learning.
Build components that capture, filter, validate, package, and offload vehicle and sensor data from the fleet.
Improve data quality, privacy enforcement, reliability, observability, and performance across vehicle data collection workflows.
Build embedded software that controls how high-value driving data is captured, monitored, and delivered from vehicle compute platforms.
Debug complex issues across Linux and QNX-based vehicle software, real-time data recording pipelines, and backend integration points.
Collaborate with AI, backend, embedded platform, and system development engineering teams to ensure collected data meets autonomous driving development needs.
Deliver reliable software through clear requirements, code reviews, automated testing, CI, issue tracking, and incremental development.
Learn and apply production engineering practices for performance testing, regression prevention, rollout readiness, and operational support.
Basic Qualifications
Recently completed, or currently pursuing, a Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Artificial Intelligence, Machine Learning, or a related technical field. For completed degrees, graduation must have occurred within the past nine months.
Degree must be completed prior to joining GM.
Strong software fundamentals, including data structures, algorithms, operating systems, computer architecture, or distributed systems concepts.
Solid coding ability in C++, Python, or both, demonstrated through coursework, internships, research, or substantial projects.
Experience developing in a Linux environment through class projects, labs, internships, research, or personal projects.
Ability to debug complex software problems, reason about system behavior, and communicate clearly in a collaborative team environment.
Interest in autonomous vehicles, robotics, embedded systems, real-time operating systems, data platforms, artificial intelligence data pipelines, or high-performance software.

Software Engineer, AV Data Collection - Early Career

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