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Design, develop, and maintain embedded C++ middleware (ROS2/SOME/IP) for automotive systems. Implement PCIe drivers, safety-related middleware changes, optimize performance and real-time behavior, integrate device drivers, perform network packet analysis, write tests and documentation, and collaborate with hardware and software teams in an Agile environment.

The Senior ML Engineer will architect data pipelines, develop classification algorithms, manage data integration, and mentor team members in a cross-functional setting.

Lead Requirements and Safety workstreams as a Technical Product Manager: prioritize needs, build cross-functional plans, define and verify acceptance criteria, manage dependencies, risks, and change, and report roadmap status to drive timely execution toward product milestones.

Develop and maintain real-time C++ vehicle mission interface software enabling Mission Control, Remote Assistance, route management, telemetry, and vehicle status monitoring. Translate system requirements into scalable architectures, contribute to simulation and testing, integrate cross-functional systems, mentor peers, and support safety-critical automotive development and validation practices.

The Senior Systems Test Engineer - HiL designs and executes hardware-in-the-loop testing for autonomous driving software, ensuring integration and system performance.

The Senior Machine Learning Engineer will develop end-to-end ML systems connecting perception inputs to driving behavior, enhance model performance, and mentor juniors.

The Senior Functional Safety Systems Engineer will provide systems engineering analysis and support for functional safety in autonomous truck development, collaborating across teams and leading hazard analysis and risk assessments.

The Software Engineer II will develop C++ applications for real-time embedded systems, lead design efforts, mentor junior engineers, and manage the software development lifecycle in an Agile environment.

Develop and deploy machine learning solutions for autonomous truck applications: EDA, deep learning model development, embedded deployment, data ingestion/curation, analytics, visualization, technical leadership, and process improvement across manufacturing and business domains.

As a Staff Software Engineer, you will provide technical leadership across teams, driving architectural strategies, scalability, and engineering excellence while mentoring engineers and collaborating with multiple stakeholders.