AI Training Reliability Engineer at Advanced Micro Devices, Inc

Chaoyang District, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

30 Apr, 26

Salary

0.0

Posted On

30 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Systems Engineering, Debugging, Distributed Training, PyTorch, Parallelism Patterns, Operational Debugging, GPU, NPU, RDMA Networking, Collective Communication, Fault Tolerance, Automated Remediation, Training Stability Hardening

Industry

Semiconductor Manufacturing

Description

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. Responsibilities Own reliability governance (standards, runbooks, SLIs/SLOs) and deliver KPI improvements (goodput/badput). Productionize fast recovery paths: fault detection, isolation, membership change, and continuation without stop-the-world restarts. Establish fault-injection/chaos and regression gates to prevent reliability regressions (GPU/NIC/node, comms, storage, maintenance). Drive day-to-day incident response and root-cause analysis, converting learnings into preventative fixes. Requirements Strong software + systems engineering; can debug complex distributed failures end-to-end (Linux, networking, concurrency). Hands-on large-scale distributed training experience (PyTorch Distributed/torchrun; common parallelism patterns). Solid accelerator fundamentals and operational debugging (GPU/NPU, drivers/runtime, profiling tooling). RDMA networking and collective communication fundamentals (all-reduce/all-gather/all-to-all) and related failure modes. Nice to Have TorchFT (or similar) per-step fault tolerance / checkpointless recovery experience. Experience with large cluster operations and automated remediation (health checks, drain/replace, topology-aware placement). Training stability hardening experience (hang watchdogs, NaN/Inf containment, OOM/memory fragmentation mitigation). ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent #LI-FL1 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.

Responsibilities

The role involves owning reliability governance and delivering KPI improvements while productionizing fast recovery paths. Additionally, it includes establishing fault-injection and regression gates to prevent reliability regressions and driving incident response and root-cause analysis.