Software Development Engineer at Advanced Micro Devices, Inc

, , Taiwan -

Full Time

Start Date

Immediate

Expiry Date

02 Aug, 26

Salary

0.0

Posted On

04 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++, Python, GPU Computing, ROCm, CUDA, HIP, OpenCL, Software Architecture, Performance Optimization, Parallel Programming, API Design, Debugging, Profiling, AI Operations, CI/CD, Benchmarking

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 ROLE: Software development engineer on teams building and optimizing key AI libraries for AMD GPU compute platforms. THE PERSON: In this role you will be developing in the key library for AI workloads. You are someone that has insight into performance optimizations with strong analytical and problem-solving skills or has a strong software development skillset KEY RESPONSIBILITIES: Design, implement, optimize, profiling and analyze AI operations on AMD GPU Deliver high-quality code with open-source software Work with key technical specialists across AMD and with our partners and customers to improve libraries PREFERRED EXPERIENCE: Excellent C/C++ programming and software design skills such as software architecture design, performance analysis, debugging and test design Knowledge of GPU computing (CUDA, HIP, OpenCL) or parallel programming is a plus Having low-level optimization techniques, such as assembly programming experience is a plus Understanding of GPU, DSP, or any of AI accelerators is a plus Understanding of AI operations is a plus ACADEMIC CREDENTIALS: Master's or PhD or equivalent experience in Computer Science, Computer Engineering, or related field JOB2: THE ROLE: We are seeking Software Architect with deep C++ and Python expertise to drive the architectural design and implementation of high‑performance ROCm libraries. You will lead cross‑functional design, define interfaces, and shape roadmap decisions for library components that power AI and HPC workloads on AMD GPUs. THE PERSON: The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD. KEY RESPONSIBILITIES: Define and maintain architecture for ROCm library components ensuring scalability, maintainability, and high performance. Design and review C++ and Python APIs, internal module boundaries, and extension points for front‑end/back‑end integration. Drive SW/HW co‑design: translate hardware characteristics and constraints into software designs and optimization strategies. Produce high‑quality design documents, implementations, CI, testing, performance benchamrking Collaborate with cross-functional teams and customers to prioritize features and resolve cross‑team dependencies. Evaluate and recommend tools, frameworks, and third‑party libraries; support porting to new architectures. Participate in code reviews, debugging/fix existing issues and research alternative, more efficient ways to accomplish the same work PREFERRED EXPERIENCE: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field. 8+ years professional experience in C++ software development and architecture design; Strong Python experience for tooling, testing, and automation. Proven track record designing large, production software systems and APIs. Excellent communication and collaboration skills; able to explain technical tradeoffs to engineers and non‑technical stakeholders. Deep understanding of performance‑oriented software design: concurrency, memory hierarchy, low‑level optimization, and microarchitectural behavior. Experience with GPU programming models and ecosystems (ROCm, HIP, CUDA, or equivalent). Experience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers is a plus Effective communication and problem-solving skills ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent LOCATION: Taipei/Hsinchu/Tainan/Kaohsiung, Taiwan #LI-SH1 #LI-HYBRID 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 roles involve designing, implementing, and optimizing high-performance AI libraries and ROCm components for AMD GPU platforms. You will collaborate with cross-functional teams to drive software-hardware co-design and ensure scalability and performance for AI and HPC workloads.