Software Engineer Jobs in Canada (No ghost jobs, direct from employers)

Summary

Advanced Micro Devices, Inc. (AMD) is seeking a Principal Software Development Engineer to lead the technical development of the AMD Inference Microservice ecosystem. This role involves designing and evolving AI microservices and tools to enable scalable AI workloads on advanced infrastructure, combining hands-on engineering with strategic leadership.

Responsibilities (What you'll do)

• Design and drive architecture for complex, data-intensive backend services and user-facing applications supporting AI/GPU workflows.
• Set and evolve architectural direction for Kubernetes toolchain, APIs, and UIs ensuring security, scalability, and maintainability under real customer load.
• Optimize system efficiency, performance, and reliability while debugging and resolving production issues.
• Embed engineering best practices including code quality, automated testing, CI/CD, observability, and API/design standards across teams.
• Influence product roadmap by translating customer needs and market trends into prioritized engineering tasks.
• Engage with customers and internal stakeholders to clarify requirements, manage expectations, and incorporate feedback into product development.
• Lead initiatives from requirements gathering through phased delivery with measurable milestones.
• Provide technical and strategic leadership across teams, resolving complex technical and organizational challenges.
• Promote AI-first development practices and enhance engineering efficiency using modern software development methods.
• Mentor engineers through design and code reviews to improve technical judgment and execution quality.
• Stay current with cloud-native, Kubernetes, GPU/ML workflows, and LLM infrastructure trends and apply relevant innovations.

Qualifications (What skills you have to have)

• Proven experience as a principal-level full-stack or backend-leaning software engineer in cloud-deployed, data-intensive web applications.
• Experience with AI model lifecycle management and production tooling.
• Strong communication skills with ability to work across product, design, platform, and go-to-market teams.
• Experience with agile delivery and ownership of end-to-end design, implementation, deployment, and support.
• Demonstrated initiative, ownership, collaboration, and pragmatic problem-solving under constraints.
• Preferred experience with GPU workloads, ML/LLM training or inference pipelines, and multi-tenant platform concerns.
• Proficiency in JavaScript/TypeScript and major UI frameworks such as React, with solid API and service design skills.
• Experience in customer-facing or field-adjacent engineering roles involving discovery, technical scoping, or complex B2B deployments.
• Familiarity with open-source or platform ecosystems including Kubernetes operators, schedulers, and observability stacks.
• Prior technical leadership experience including architecture decisions, cross-team initiatives, and mentoring engineers.
• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent experience.

Benefits

• Comprehensive AMD benefits package (details available upon inquiry).
• Equal opportunity and inclusive employer accommodating applicants' needs throughout recruitment.
• Commitment to responsible AI practices in recruitment and selection.