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Senior AI/ML Engineer - Robot Localization

  • 위치
    • Warren, Michigan
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202619556

설명

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard—from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we work to make driving safer, smarter, and more connected. Together, we’re shaping the future of transportation on a global scale.

We are seeking a Senior AI/ML Engineer to advance robot localization capabilities for autonomous mobile robots. Localization is foundational to safe, reliable autonomy, enabling robots to understand their position, operate accurately in diverse environments, recover from degraded conditions, and perform consistently as deployments scale.

In this role, you will design, implement, optimize, and deploy localization algorithms and production software across current products, next-generation platforms, and new product enablement initiatives. You will also investigate and resolve field issues in close collaboration with cross-functional robotics and engineering teams.

What You’ll Do

  • Develop and improve camera- and LiDAR-based localization algorithms for autonomous mobile robots.

  • Apply statistical estimation theory to improve localization accuracy, robustness, recovery behavior, and runtime performance.

  • Design and implement pose-graph and factor-graph optimization solutions.

  • Optimize localization software to balance accuracy, latency, reliability, and resource utilization on robotic platforms.

  • Investigate state-of-the-art place-recognition techniques to improve loop-closure detection and recovery from localization drift.

  • Integrate localization capabilities with ROS 2 and other robotics middleware as appropriate.

  • Collaborate with engineers across perception, mapping, path planning, controls, platform software, and deployment operations.

  • Diagnose field issues, reproduce failures, identify root causes, and deliver production-quality improvements.

  • Support localization enablement for new products and platforms, including design, integration, validation, and deployment.

  • Follow continuous development and deployment practices for robotic software, including code reviews, automated testing, performance evaluation, and release support.

  • Communicate technical decisions, trade-offs, risks, and results clearly to technical and cross-functional stakeholders.

Required Qualifications

  • Master’s degree in robotics, computer science, or a related technical field.

  • Three or more years of relevant industry experience.

  • Strong expertise in camera- and LiDAR-based localization algorithms.

  • Strong understanding of statistical estimation theory and its application to robotics.

  • Hands-on experience implementing and debugging pose-graph and factor-graph optimization.

  • Experience optimizing localization or robotics software for constrained compute, memory, latency, or real-time requirements.

  • Experience developing production-quality software for robotic systems.

  • Experience with ROS 2 or another robotics middleware framework.

  • Experience with software engineering practices such as version control, code review, automated testing, and continuous integration and deployment.

  • Ability to analyze complex system behavior, investigate failures, and develop robust solutions.

  • Ability to work effectively across multiple robotics disciplines and product teams.

Preferred Qualifications

  • Ph.D. in robotics, computer science, or a related technical field.

  • Familiarity with perception, mapping, path planning, controls, or other core robotics modules.

  • Experience deploying autonomous mobile robot or other autonomous robotics software in diverse real-world environments.

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.