Example Company
Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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Principal Software Development Engineer
- Location
- Vancouver
- Type
- Full time
- Posted
- 9H AGO
About the role
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
PMTS Software Development Engineer
THE ROLE
AMD is seeking a Principal Member of Technical Staff (PMTS) Software Development Engineer to join AMD Silo AI and drive the technical development of the AMD Inference Microservice (AIM) ecosystem in northern America. You will design, build, and evolve an ecosystem of performant, reliable, and secure AI microservices and tools that help users, customize, deploy, and scale AI workloads on state-of-the-art infrastructure.
At this level you combine hands-on full-stack engineering with technical and strategic leadership: you influence roadmap and architecture, partner with product and customers, and raise the bar for quality, operability, and developer experience across teams.
Tech context (indicative): AI model inference, optimization and scaling, Kubernetes, Python, Go, relational and document data stores (e.g. PostgreSQL, MongoDB), AMD GPU hardware, CI/CD and observability.
KEY RESPONSIBILITIES
Engineering & architecture
- Own and drive design of complex, data-heavy backend services and user-facing applications for AI/GPU and platform workflows (Kubernetes, APIs, integrations).
- Set and evolve architectural direction for Kubernetes toolchain, APIs and UIs enabling core AI workflows; ensure 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: code quality, automated testing, CI/CD, observability, and API/design standards across the teams you work with.
Product, customers & agility
- Influence AIM ecosystem roadmap through deep understanding of customer needs, market direction, and technical feasibility; translating requirements into prioritized engineering work.
- Interface with customers (and sales/customer success as needed): clarify requirements, manage expectations, and feed learnings back into the product/engineering loop.
- Lead initiatives from evolving requirements to shipped outcomes—decompose large problems into phases, owners, and measurable milestones.
Leadership & collaboration
- Lead technically and strategically across teams and drive complex issues (technical and organizational) to resolution.
- Drive AI-first development practices and continuously 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 UX goals.
- Mentor and uplift engineers via design reviews, code reviews, and coaching to grow technical judgment and execution quality of the team.
- Stay current on cloud-native, Kubernetes, GPU/ML workflows, and LLM infrastructure trends and apply pragmatic choices to our stack and practices.
EXPERIENCE & KEY QUALITIES
Required
- 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 functions (product, design, platform, GTM) with clear communication and stakeholder management.
- Agile delivery experience; comfort owning end-to-end design → implementation → deployment → support.
- Initiative, ownership, and collaboration; pragmatic problem-solving under constraints.
Highly desirable
- Experience with GPU workloads, ML/LLM training or inference pipelines, or multi-tenant platform concerns.
- Strong with JavaScript/TypeScript and a major UI framework (React or equivalent); solid API and service design.
- Customer-facing or field-adjacent engineering: discovery, technical scoping, or success of complex B2B deployments.
- Open-source or platform-ecosystem awareness (K8s operators, schedulers, observability stacks).
- Prior technical leadership: architecture decisions, cross-team initiatives, and growing engineers.
EDUCATION
- Bachelor’s or Master’s in Computer Science, Engineering, or equivalent experience.
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
