Senior Software Development Engineer Job Listing at AMD in United Kingdom (Job ID 80160-en-us)

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.  

About the Role

We are seeking an experienced and highly technical SMTS Software Development Engineer to drive the design, development, optimization, and maintenance of the HIP runtime, a core component of the ROCm software stack. In this role, you will contribute to the evolution of HIP as a high‑performance C++ GPU programming environment, enabling developers to write portable, efficient GPU applications for AMD GPUs targeting data‑center, cloud, and AI workloads.

This position requires deep understanding of GPU programming models, runtime systems, compiler interfaces, and systems-level performance engineering.

• Architect, implement, and optimize features in the HIP runtime, including memory management, kernel dispatch, device abstraction, multi‑GPU coordination, and synchronization primitives.
• Contribute to the evolution of the HIP programming model and interoperability with ROCr, HSA runtime, and compiler toolchains.
• Ensure functional correctness, performance, and scalability of runtime APIs across different GPU generations.

• Conduct root‑cause analysis and systems‑level debugging across the runtime, driver, compiler, and hardware layers.
• Profile GPU applications and internal runtime components to identify bottlenecks and design performance improvements.
• Optimize HIP runtime behavior for large-scale AI, HPC, and cloud workloads.

• Work closely with compiler teams (LLVM/Clang), driver teams, GPU architecture, and systems engineers to deliver end‑to‑end GPU software solutions.
• Contribute to API specifications and collaborate with upstream open-source communities where appropriate.

• Define and drive technical strategy for correctness, reliability, and conformance of the HIP runtime.
• Support enhancements in automated testing, CI, and stress/failure scenarios in the HIP test suite.
• Review design proposals, code reviews, and technical documents for quality and architectural alignment.

• Mentor junior engineers and contribute to establishing best practices in systems software development.
• Evaluate complex technical tradeoffs and drive decisions in runtime design and optimization.
• Represent the HIP runtime in technical discussions across ROCm teams and with strategic partners.

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or related technical field.
• 8+ years of software engineering experience in systems software, runtime libraries, GPU programming, or compiler/runtime interfaces.
• Strong proficiency in modern C++ (C++14/C++17 or newer), templates, memory models, and low‑level systems programming.
• Deep understanding of at least one GPU computing model (HIP, CUDA, SYCL, OpenCL, OpenMP offload).
• Hands‑on experience with runtime systems, driver interfaces, or high‑performance compute libraries.
• Strong debugging skills using tools such as gdb, sanitizers, profilers, and GPU debugging tools.
• Solid understanding of parallel programming concepts—memory hierarchy, synchronization, concurrency, thread scheduling.

• Experience contributing to ROCm, HIP, CUDA runtime, or similar GPU programming runtimes.
• Familiarity with LLVM/Clang, compiler toolchains, and code generation pipelines.
• Experience with multi‑GPU systems, distributed execution frameworks, or heterogeneous memory systems.
• Background in HPC, AI/ML frameworks, or performance tuning for GPU workloads.
• Prior contributions to large‑scale open-source projects.
• Experience with Linux systems programming, POSIX APIs, and low‑level debugging.

#LI-GS1

#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.