Remote Autonomy Engineering Manager: Behavior Prediction

Ladders; United States; A distancia; USD 190.000 - 250.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Comprehensive health plans

HSA/FSA programs

Employer 401(k) match

Descripción de la vacante

Ladders is seeking an Autonomy Engineering Manager to lead the development of behavior prediction and intent capabilities for autonomous systems. The role combines hands-on technical leadership with mentoring, process improvement, and field issue support in a remote setting.

You will partner with engineering, operations, and infrastructure to shape technical direction, improve iteration speed, and ensure safety, quality, and reliability are embedded.

Formación

• 5+ years of experience managing technical teams or leading projects.
• Bachelor's degree in Robotics, Computer Science, Mechanical Engineering, or a related field.
• Experience mentoring technical team members and collaborating across engineering and operations.

Responsabilidades

• Guide development of intent and prediction architectures using robotics and machine learning.
• Collaborate with cross-functional teams to align architectural roadmaps with strategic goals.
• Integrate safety metrics and risk assessments into project milestones.
• Work with infrastructure teams to enhance iteration cycles.
• Incorporate Root Cause Analyses into team processes and support field issues.
• Enforce high code quality standards and conduct design reviews.
• Mentor and develop engineering talent through onboarding and continuous learning.

Conocimientos

Leadership

Mentoring

Cross-functional collaboration

Communication

Data-driven decision making

Educación

Bachelor's degree in Robotics, Computer Science, Mechanical Engineering, or related field

Herramientas

Jira

AWS QuickSight

Tableau

Descripción del empleo

Ladders is seeking an Autonomy Engineering Manager to lead the development of behavior prediction and intent capabilities for autonomous systems. The role combines hands-on technical leadership with mentoring, process improvement, and field issue support in a remote setting.

You will partner with engineering, operations, and infrastructure to shape technical direction, improve iteration speed, and ensure safety, quality, and reliability are embedded.