General Motors

Kapuskasing, Ontario, CAN
Total Offices: 4
165,000 Total Employees
Year Founded: 1908
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Offices at General Motors

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.

Typical time on-site: 3 days a week

Global Office Locations

Kapuskasing, Ontario, CAN Langley, British Columbia, CAN Markham, Ontario, CAN Oshawa, Ontario, CAN
Kapuskasing, Ontario, CAN

Kapuskasing, Ontario, Canada

Langley, British Columbia, CAN

Langley, British Columbia, Canada

Markham, Ontario, CAN

Markham, Ontario, Canada

Oshawa, Ontario, CAN

Oshawa, Ontario, Canada

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Recently posted jobs

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Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Senior Engineer for Vehicle Data Cloud will design and build cloud applications and infrastructure, manage microservices for data collection, and create user experiences. This role includes mentoring, deploying applications globally, and ensuring high application availability.
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Senior Engineer, Vehicle Data Cloud will design, build, and support cloud applications and infrastructure for vehicle data collection, focusing on microservices and user experiences. Responsibilities include managing data collection systems, leveraging automation for application delivery, and participating in mentorship and on-call rotations.
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General Motors

Staff Prognostics Data Engineering-1

3 Days Ago
Markham, ON, CAN
Hybrid
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Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Senior Prognostics Data Engineer will design and deploy advanced signal processing methods for prognostics applications, lead failure mode analysis, analyze sensor data, develop health monitoring models, and optimize signal processing algorithms, collaborating with cross-functional teams and fostering continuous learning.
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