General Motors

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

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

Kapuskasing, Ontario, Canada

Langley, British Columbia, CAN

Langley, British Columbia, Canada

Markham, Ontario, CAN

Markham, Ontario, Canada

Oshawa, Ontario, CAN

Oshawa, Ontario, Canada

Search the 27 jobs at General Motors

8 Hours Ago
Markham, ON, CAN
Hybrid
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The ADAS HiL Specialist will integrate HIL simulation models with ECUs, focusing on automotive simulation environments. Responsibilities cover developing communication models, troubleshooting HIL bench issues, and improving bench usability. The specialist will manage processes, achieve program milestones, and collaborate with various stakeholders to meet simulation requirements effectively.
Yesterday
Oshawa, ON, CAN
Hybrid
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
As a Mechanical Manufacturing Engineer, you will manage and improve processes at GM's Oshawa Assembly plant. Responsibilities include safety culture development, process design improvements, troubleshooting equipment, and supporting global manufacturing standards. You will work on capital projects focusing on safety and efficiency.
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The role involves leading the development and integration of simulation components, creating virtual controller models, collaborating with engineers to meet feature requirements, and ensuring quality in delivery of simulation environments.