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The Staff HR & Transformation Program Manager leads cross-functional teams to drive HR systems and transformation initiatives at Torc. This position involves stakeholder engagement, managing program objectives, tracking dependencies and risks, and implementing process improvements. The role also requires independent decision-making, preparing program updates, and collaborating with various teams to ensure program success.

Torc is seeking talent across multiple roles including Software Engineers, Embedded Engineers, Machine Learning Engineers, DevOps Engineers, and Engineering Leadership for their autonomous vehicle technology team.

Design, develop, integrate, test, and validate perception simulation testing software, focusing on scalable production in the testing pipeline for autonomy software in self-driving trucks. Responsibilities include integrating frameworks in cloud environments and identifying testing gaps.

The Systems Engineer defines and maintains requirements for autonomous driving systems, collaborates on technical details, and ensures product alignment with customer needs, while addressing challenges and documenting system designs in compliance with safety standards.

The Technical Product Manager will oversee product development for autonomous driving technology, ensuring projects meet company objectives through coordination with engineering and stakeholders. This role involves analyzing requirements, managing product initiatives, maintaining effective communication among teams, and tracking progress towards commercial launch.

As a Technical Product Manager, you will translate corporate strategy into detailed product roadmaps while overseeing the development and deployment of machine learning processes. You'll collaborate with engineering teams to address internal customer needs and drive solutions for product development, emphasizing risk management and process optimization.

The Senior Systems Engineer will integrate components and subsystems for self-driving software, develop test plans, evaluate system performance, debug issues, maintain deployment schedules, and enhance testing capabilities through data analysis and automation.