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Staff Software Engineer — AI for Developer Productivity
General Motors
Markham, CAN
Full-time
Director
Hybrid
CAD 147,000 to CAD 196,600.
Discovered 2 weeks ago
AI-powered developer productivityPythonAgentic AI systemsLarge language modelsSoftware architectureAPIs
Free
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AI-powered developer productivityPythonAgentic AI systems
Role Overview
Staff Software Engineer role in the Virtualization & Embedded Software Development Tools organization.
Apply artificial intelligence to improve developer productivity, modernize engineering workflows, and advance embedded software toolchain capabilities.
Build production-grade AI capabilities that help engineers build, test, analyze, troubleshoot, and support complex software systems at scale.
The role requires independent work, broad technical influence, and leadership of large cross-functional efforts without formal people-management responsibility.
Key Skills for This Role
AI-powered developer productivityPythonAgentic AI systemsLarge language modelsSoftware architectureAPIs
Full Job Posting
The role
Staff Software Engineer role in the Virtualization & Embedded Software Development Tools organization.
Apply artificial intelligence to improve developer productivity, modernize engineering workflows, and advance embedded software toolchain capabilities.
Build production-grade AI capabilities that help engineers build, test, analyze, troubleshoot, and support complex software systems at scale.
The role requires independent work, broad technical influence, and leadership of large cross-functional efforts without formal people-management responsibility.
Workplace
- The role is categorized as hybrid.
- The successful candidate is expected to report to Markham at least three times per week.
What You’ll Do
- Define the technical vision for AI-powered developer productivity capabilities across engineering tools and workflows.
- Design and deliver AI-powered solutions for development, debugging, test analysis, issue triage, documentation, and engineering support.
- Identify high-value AI use cases with cross-functional teams and turn them into scalable products and reusable capabilities.
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