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Full-time
bachelor degree, postgraduate degree
Posted 4d ago
Apply by Aug 7
~40 hrs/week
Responsibilities
Design and evolve secure, scalable AI infrastructure and backend services to support ML and LLM workloads on cloud and GPU platforms. Lead technical strategy, mentor engineering teams, and collaborate with customers to translate requirements into high-quality, performant software solutions.
Requirements
Requires a Bachelor's or Master's degree in Computer Science or Engineering and extensive experience as a senior or principal software engineer. Candidates must possess strong full-stack development skills, expertise in cloud-native technologies, and a proven track record of technical leadership in data-intensive environments.
Full job description
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them.
AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward.
THE ROLE: AMD is seeking a Principal Software Development Engineer to join the AMD Silo AI Enterprise applications and platform engineering organization. You will design, build, and evolve secure, reliable AI infrastructure applications and tools that help customers deploy, run and scale ML and LLM workloads on modern cloud and GPU infrastructure.
THE PERSON: 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): 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 Enterprise AI roadmap through deep understanding of customer needs, market direction, and technical feasibility; translating pain 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.
PREFERRED EXPERIENCE:
Proven track record as a senior/principal-level full-stack or backend-leaning software engineer in cloud-deployed, data-intensive web applications.
Strong Python and modern JavaScript/TypeScript and a major UI framework (React or equivalent); solid API and service design.
Hands-on experience with relational and NoSQL databases, Git, and Kubernetes (or equivalent orchestrated environments).
Ability to work across functions (product, design, platform, GTM) with clear communication and stakeholder management.
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.
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
Offices: 2485 Augustine Drive, Santa Clara, California 95054, US · 7171 Southwest Pkwy, Austin, Texas 78735, US · 1 Commerce Valley Dr E, Markham, ON L3T 7X6, CA · 102, Bengaluru, Karnataka 560066, IN · 508 Chai Chee Ln, Singapore, Singapore 469032, SG
How many Data & Analytics jobs are open in Vancouver, Canada right now?
There are currently 760 open data & analytics positions in Vancouver, Canada listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Vancouver, Canada?
Companies currently hiring include Amazon, Canada Mortgage and Housing Corporation (CMHC) Société canadienne d'hypothèques et de logement(SCHL), RBC, RBCx, UBC Faculty of Education, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Vancouver, Canada?
Yes — 468 of the 760 open data & analytics positions offer remote or hybrid work (89 remote, 379 hybrid).
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