Robotics Research Engineer — Hybrid & Impact

Ford

Dearborn (MI)

Hybride

USD 141 000 - 176 000

Plein temps

Il y a 7 jours
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Avantages offerts par ce poste

Medical coverage
Dental coverage
Vehicle discounts

Résumé du poste

Ford Motor Company in Dearborn, Michigan, is seeking a Robotics Research Engineer to plan, control and coordinate the motion of a heterogeneous fleet of robots in dynamic, semi-structured environments. The role involves using advanced compute systems for scheduling, classification, and uncertainty-aware motion decisions, with a focus on safety and reliability.

The ideal candidate has a Master’s degree or 5 years of related experience including deep expertise in motion planning, perception, and

Qualifications

  • Master's degree or foreign equivalent in Robotics, Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, Aerospace Engineering or a related field with 2 years of related experience, or a Bachelor's degree with 5 years of progressive experience.

Responsabilités

  • Plan, control and coordinate motion of a heterogeneous fleet of robots in semi-structured and dynamic environments.
  • Oversee vision-based safety/enforcement in industrial settings and perform visual inspection of vehicles for abnormality detection.
  • Translate design requirements into functional specifications and deploy motion planning software on robotic hardware.

Connaissances

Motion planning
Perception algorithms
C++
Python
SIL testing
Data visualization
Hardware-software integration

Formation

Master's degree in Robotics/CS/EE
Bachelor's degree + 5 years experience

Outils

Embedded software

Description du poste

Ford Motor Company in Dearborn, Michigan, is seeking a Robotics Research Engineer to plan, control and coordinate the motion of a heterogeneous fleet of robots in dynamic, semi-structured environments. The role involves using advanced compute systems for scheduling, classification, and uncertainty-aware motion decisions, with a focus on safety and reliability.

The ideal candidate has a Master’s degree or 5 years of related experience including deep expertise in motion planning, perception, and

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