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AMD

Designs chips for computers and AI systems

Principal Software Development Engineer

Full-Stack EngineeringPosted on Nov 11
Full-timeVancouver, BC, CanadaNo salary listedIn-person

About the Job

Requirements

  • Proven track record 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 tooling in production settings.
  • Ability to work across product, design, platform, and go-to-market functions with clear communication and stakeholder management.
  • Agile delivery experience and comfort owning end-to-end design, implementation, deployment, and support.
  • Bachelor’s or Master’s in Computer Science, Engineering, or equivalent experience.

Responsibilities

  • Own and drive the design of complex, data-heavy backend services and user-facing applications for AI/GPU and platform workflows, including Kubernetes, APIs, and integrations.
  • Set and evolve architectural direction for the Kubernetes toolchain, APIs, and user interfaces enabling core AI workflows, ensuring security, scalability, and maintainability under real customer load.
  • Optimize systems for efficiency, performance, and reliability; debug and resolve cross-cutting production issues.
  • Embed engineering excellence through code quality, automated testing, continuous integration and delivery, observability, and API/design standards across the teams worked with.
  • Influence the AMD Inference Microservice ecosystem roadmap through understanding customer needs, market direction, and technical feasibility, translating requirements into prioritized engineering work.
  • Interface with customers and sales/customer success as needed to clarify requirements, manage expectations, and feed learnings back into the product and engineering loop.
  • Lead initiatives from evolving requirements to shipped outcomes by decomposing large problems into phases, owners, and measurable milestones.
  • Lead technically and strategically across teams and drive complex technical and organizational issues to resolution.
  • Drive AI-first development practices and promote engineering efficiency using modern agent-driven software development methods.
  • Represent engineering in roadmap and trade-off discussions with product, design, and platform, and align delivery with business and user experience goals.
  • Mentor and uplift engineers through design reviews, code reviews, and coaching to grow technical judgment and execution quality.
  • Stay current on cloud-native, Kubernetes, GPU/ML workflows, and large language model infrastructure trends and apply pragmatic choices to the stack and practices.

Desired Qualifications

  • Experience with GPU workloads, machine learning or large language model training or inference pipelines, or multi-tenant platform concerns.
  • Strong JavaScript/TypeScript skills and a major user-interface framework such as React or equivalent, with solid API and service design.
  • Customer-facing or field-adjacent engineering experience, including discovery, technical scoping, or success of complex B2B deployments.
  • Open-source or platform-ecosystem awareness, including Kubernetes operators, schedulers, and observability stacks.
  • Prior technical leadership, including architecture decisions, cross-team initiatives, and growing engineers.

About the Company

AMD

Designs chips for computers and AI systems

AMD designs processors, graphics chips and AI accelerators for computer makers, cloud operators and businesses that build electronic devices. Its Ryzen processors power personal computers, while EPYC processors handle work in data centers and Radeon chips render graphics. Instinct accelerators run AI models, paired with software that developers use to train models and put them into production. AMD sells chips and related computing systems through equipment makers, distributors and retail channels, and contracts with outside foundries to fabricate its semiconductor designs. It was founded in 1969 and has its headquarters in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1969

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