설명
Hybrid: This means the successful candidate is expected to report to their primary location (Milford, MI) three times per week, at minimum.
Relocation:
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
The Role:
We are seeking a visionary leader with a strong foundation in automotive engineering and artificial intelligence to take on the role of VMEC AI Strategy and Innovation Technical Lead. The ideal candidate brings extensive experience in automotive systems and a demonstrated ability to operationalize AI innovations. This role will focus on transitioning AI proof-of-concepts (POCs) into production and ensuring seamless integration within cloud environments.
As a key leader, you will guide a scrum team in the end-to-end development and deployment of AI solutions for automotive applications. This involves close collaboration with engineering, cloud, purchasing, and legal teams to leverage cutting-edge technologies and drive transformative business outcomes. Strong leadership and strategic coordination skills are critical for advancing GM’s AI initiatives and delivering substantial value
What You’ll do:
- Technical Direction : Provide technical direction to the team to properly Utilizes tools such as Azure, Databricks to streamline data processing, AI development, and deployment.
- Automotive Domain-Specific AI solution: Lead the deployment of AI-driven solutions tailored to the Automotive Engineering domain, utilizing machine learning (ML), custom AI, and Generative AI models. Ensure seamless integration into GM’s cloud infrastructure with a focus on efficiency and scalability.
- AI Thought Leadership : Stay at the forefront of AI advancements and present innovative ideas and solutions at key industry events.
- POC Deployment: Lead ideation to deployment working with GM Cloud and GM Security team(s) to Develop, implement, and transition AI POCs into production-ready solutions within a cloud-based ecosystem.
- End-to-End Timing Charts : Create and manage end-to-end timing charts to monitor and optimize the performance of AI models.
- Solution Design : Collaborate with Cloud Architects and AI Engineers to design AI solutions that emphasize scalability, maintainability, and seamless integration.
- Framework Development : Design and establish AI frameworks and methodologies to support scalable deployment.
- Cross-Functional Collaboration : Work closely with a team of AI/data engineers, Cloud architects and business stakeholders to translate strategic objectives into actionable AI solutions
[Additional Description]
Your Skills & Abilities (Required Qualifications)
- Master’s degree in electrical engineering, Computer Science, or a related field.
- 7+ years of experience in Automotive Engineering, specializing in one or more mechatronics domains, with a proven track record in developing AI proof-of-concepts (POCs) tailored for automotive engineering applications.
- Demonstrated Extensive expertise in deploying scalable AI solutions, backed by industry-standard certifications and hands-on experience.
- Experience in leading a team in building RAG models and deploying them to production.
- Proficiency in Azure, Databricks, and MLOps best practices.
What Will Give You A Competitive Edge (Preferred Skills)
- Ph.D in electrical engineering, Computer Science, or a related field.
- Certifications in Microsoft Azure, Databricks and from reputed institutions.
- Familiarity with developing and deploying RAG models for enterprise-scale applications.
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 Careers.Accommodations@GM.com으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.