Lead State Estimation & Sensor Calibration Engineer

General Motors

Mountain View (CA)

On-site

USD 171,000 - 261,000

Full time

4 days ago
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Benefits offered by this job

Relocation benefits
Health & wellbeing benefits
GM vehicle discounts

Job summary

General Motors is seeking a Senior State Estimation Engineer within the SEAM Embodied AI organization to lead advanced sensor calibration and real-time state estimation for autonomous driving.

You will architect solutions, mentor engineers, collaborate with cross-functional teams, and influence roadmaps while delivering robust localization and perception capabilities across vehicle platforms.

Qualifications

  • 3+ years or relevant industry experience.
  • Experience developing and deploying state estimation and sensor calibration in real-time onboard applications.
  • Strong software engineering in C++ and Python; hands-on with development, integration, and testing tools.

Responsibilities

  • Drive design, development, and deployment of state estimation, localization, and sensor calibration solutions.
  • Lead and architect complex projects from conception through validation to onboard implementation.
  • Champion multi-sensor self-calibration in unstructured environments and fault-tolerance for real-time deployment.
  • Provide technical mentorship and leadership across teams to elevate engineering practices.
  • Collaborate with multidisciplinary groups to integrate localization and sensor alignment into autonomous systems.
  • Influence roadmaps and priorities aligned with company objectives and milestones.

Skills

C++
Python
State estimation
Sensor calibration
Localization
Mentoring
Leadership
Real-time systems

Education

Bachelor's in Robotics/CS/EE

Job description

General Motors is seeking a Senior State Estimation Engineer within the SEAM Embodied AI organization to lead advanced sensor calibration and real-time state estimation for autonomous driving.

You will architect solutions, mentor engineers, collaborate with cross-functional teams, and influence roadmaps while delivering robust localization and perception capabilities across vehicle platforms.

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