Senior Staff AI GPU Tooling Engineer at AMD

WHAT YOU DO AT AMD CHANGES EVERYTHING 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_ THE ROLE: We are building IREE (https://github.com/iree-org/iree) as an open-source compiler and runtime solution to productionize ML on a variety of usage scenarios and hardware targets. Among them, having wide and performant GPU support is critical. We aim at a broad range of GPU coverage, from mobile to datacenter, via a unified software stack. To achieve the goals, it’s essential to have great tools to debug GPU problems and profile performance issues. We are seeking software engineers to join our efforts to advance the state of art of GPU performance tuning. There will be no short of intriguing technical challenges to tackle, and there are abundant chances to collaborate with industry experts working at different layers of the stack. If this sounds interesting to you, please don’t hesitate to reach out to us! THE PERSON: An ideal candidate should be familiar with GPU architectures, low-level GPU software stack including drivers, GPU performance metrics and tuning. He/she should be comfortable at collaborating with compiler/runtime engineers to iterate on tools to improve development flows and performance tuning velocity. KEY RESPONSIBILITIES: Understand AMD GPU hardware performance counters and expose them in libraries Innovate, design, implement, and maintain features in GPU runtime performance profiling tools Design and implement CI workflows for automated performance analysis and regression tracking PREFERRED EXPERIENCE: Experience in GPU performance analysis and tuning Experience in GPU profiling tools like Nsight, Radeon GPU Profiler, omniperf Experience in building developer tools Experience with GPU APIs like CUDA, HIP, OpenCL, OpenGL, Vulkan Understanding of GPU architectures and programming models Familiar with low-level GPU software stack, esp. drivers Open-source development ethos ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent #LI-EM1 At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here. 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.