Product Application Engineer at Advanced Micro Devices, Inc

, , Taiwan -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

25 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Performance Optimization, Analytical Skills, Hands-On Skills, Collaboration, Communication, AI/ML Frameworks, Linux Performance Engineering, Virtualization, BIOS Tuning, System-Level Performance, Root-Cause Analysis, Performance Verification, Data Center Systems, Heterogeneous Computing, AMD EPYC Processors, ROCm Software Stack

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. THE PERSON: We are looking for an experienced performance optimization engineer with strong analytical and hands-on skills. The person will collaborate closely with customers to solve heterogeneous CPU+GPU computing performance challenges on AMD EPYC processors and AMD Instinct accelerators using the ROCm software stack. This role is highly cross-functional and customer-facing, requiring excellent teamwork and communication to translate performance insights into measurable product and business impact. KEY RESPONSIBILITIES: Serve as the subject matter expert for x86 server performance analysis and optimization on AMD EPYC-based platforms, driving power/performance tuning across BIOS, firmware, OS, and application layers Lead cross-functional efforts to optimize AI/ML frameworks and workloads for heterogeneous CPU+GPU systems using ROCm, HIP, and related libraries Profile and resolve system-level performance bottlenecks across compute, memory, storage, and network I/O (e.g., NUMA placement, PCIe topology, NVMe, NIC throughput, interrupts, RDMA) Partner with FAE and product marketing teams to reproduce issues, drive root-cause analysis, and deliver timely fixes and performance gains PREFERRED EXPERIENCE: Proven track record optimizing AI/ML training and inference workloads on datacenter CPU+GPU systems Hands-on performance verification using industry benchmarks and synthetic workloads (e.g., MLPerf, SPEC CPU/SPECjbb/SPECpower, STREAM, FIO, iperf/OSU) Strong Linux performance engineering skills, including perf, numactl, tuned and cpupower Virtualization expertise (KVM/QEMU, libvirt), including vCPU pinning, huge pages, IOMMU; familiarity with DPDK/RDMA/RoCE is a plus Excellent English written and verbal communication and the skill to distill complex analyses into clear, actionable guidance for diverse audiences Self-starter who can independently scope work, execute, and deliver measurable results with attention to detail ACADEMIC CREDENTIALS: BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related field with 6+ years in server performance optimization LOCATION: Taipei #LI-VC1 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.

Responsibilities

The role involves serving as a subject matter expert for x86 server performance analysis and optimization on AMD EPYC-based platforms. The engineer will lead efforts to optimize AI/ML frameworks and workloads for heterogeneous CPU+GPU systems.