4 hours ago
Vancouver, CanadaStaff+
Responsibilities
- Own the design and development of complex data-heavy backend services and user-facing applications for AI, GPU, and platform workflows.
- Set architectural direction for Kubernetes toolchains, APIs, and UIs supporting AI workflows.
- Optimize systems for efficiency, performance, reliability, security, and maintainability under customer load.
- Debug and resolve cross-cutting production issues and promote code quality, automated testing, CI/CD, observability, and API standards.
- Influence the AIM ecosystem roadmap by translating customer and market needs into prioritized engineering work.
- Lead initiatives from evolving requirements through implementation, deployment, support, and measurable delivery milestones.
- Provide technical and strategic leadership across teams and drive complex technical and organizational issues to resolution.
- Mentor engineers through design reviews, code reviews, and coaching.
- Represent engineering in roadmap, architecture, and trade-off discussions with product, design, and platform teams.
Requirements
- Proven principal-level experience as a full-stack or backend-leaning software engineer building cloud-deployed, data-intensive web applications.
- Experience with AI model lifecycle management and production tooling.
- Ability to work effectively across product, design, platform, and go-to-market functions with clear communication and stakeholder management.
- Experience owning end-to-end design, implementation, deployment, and support in an Agile delivery environment.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience.
- Experience with GPU workloads, ML/LLM training or inference pipelines, or multi-tenant platforms is highly desirable.
- Strong JavaScript/TypeScript skills and experience with a major UI framework such as React are highly desirable.
- Customer-facing or field-adjacent engineering experience, including discovery, technical scoping, or complex B2B deployments, is highly desirable.
- Open-source or platform-ecosystem awareness, including Kubernetes operators, schedulers, or observability stacks, is highly desirable.
- Prior technical leadership involving architecture decisions, cross-team initiatives, and engineer development is highly desirable.
Tech Stack
Categories
About AMD
AMD designs and sells CPUs, GPUs, and adaptive/embedded computing products for PCs, data centers, gaming, and edge devices. Its portfolio includes Ryzen and EPYC processors, Radeon and Instinct graphics, and adaptive SoCs from its Xilinx acquisition, sold to OEMs, cloud providers, and device makers. Founded in 1969 and headquartered in Santa Clara, it is a public company on NASDAQ and supplies semi-custom chips for major game consoles.