설명
Description
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Locations:
Warren, Michigan
About the Team:
The Production Mapping organization plays a pivotal role in the software development of mapping solutions to support AV/ADAS at General Motors. This team is responsible for delivering integrated and tested software for various GM features, including Super Cruise.
About The Role:
In this role, you will help the Map Crowdsourcing and Enhancements team solve complex mapping problems using machine learning, advanced algorithms, large-scale data processing, and cloud computing. You will contribute across the development lifecycle—from exploring vehicle data and developing models or algorithms to building scalable data workflows, deploying solutions, and evaluating their performance. Areas of focus may include machine learning, geospatial analytics, distributed data processing, workflow automation, and cloud-based software development.
What You’ll Do:
- Build, deploy, and optimize models and algorithms using cloud-based compute environments such as Azure Databricks and Google Cloud Platform.
- Develop scripts to manage data workflows using Python or PySpark
- Analyze large datasets to discover trends and patterns
- Present complex information using data visualization techniques
- Create and maintain technical documentation
- Complete training, learning, and skills development
Required Qualifications:
- Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a PhD in computer science or a related field.
- Able to work fulltime, 40 hours per week.
- Python software skills and experience with ML libraries such as PyTorch or TensorFlow
- Experience working with cloud environments and data platforms, such as Microsoft Azure, Azure Databricks, and Google Cloud Platform.
- Demonstratable fundamentals in statistical modeling and machine learning frameworks and tools
Preferred Qualifications:
- Experience with geospatial data and analytics
- Intent to return to degree-program after the completion of the internship.
- Graduating between December 2027 and June 2028.
Compensation:
- The monthly salary range for this role is $12,300 per month
- GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program.
What you’ll get from us (Benefits):
- Paid US GM Holidays
- GM Family First Vehicle Discount Program
- Result-based potential for growth within GM
- Intern events to network with company leaders and peers
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.