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. Senior Manager – Training Software Release & Performance Infrastructure AMD is looking for a highly motivated technical leader to build and lead a new team in Hyderabad focused on training software stack releases, nightly performance validation, and regression triage for large-scale AI workloads on AMD Instinct™ accelerators. This role is critical to ensuring the quality, stability, and performance competitiveness of AMD’s AI training software ecosystem across PyTorch, JAX, Megatron-LM, and related frameworks. You will start by bootstrapping the team, defining processes and infrastructure, and then scale execution to support regular releases and continuous performance tracking. Key Responsibilities Technical Leadership & Ownership Own end-to-end training software stack releases, including release readiness, validation, and issue tracking. Lead nightly performance regression testing key LLM and multimodal training workloads. Drive test failure triage, root-cause analysis, and resolution across hardware, drivers, kernels, compilers, and frameworks. Define and enforce performance and quality gates for internal and external releases. Team Building & Execution Hire, mentor, and grow a high-performing engineering team in Hyderabad. Establish clear on-call, triage, and escalation processes for nightly failures and regressions. Set engineering best practices for CI, benchmarking, automation, and reporting. Cross-Team Collaboration Work closely with global teams across: Frameworks (PyTorch, JAX, Megatron-LM, Torchtitan) ROCm drivers, kernels, compiler, and hardware teams Performance modeling and customer enablement teams Communicate clearly with stakeholders in the U.S., China, and India on release status, risks, and priorities. Required Qualifications Strong background in systems or ML infrastructure engineering, with experience in large software stacks. Hands-on experience with deep learning training frameworks (PyTorch, JAX, Megatron-LM, or similar). Proven ability to lead teams and drive execution across multiple priorities. Experience with CI/CD systems, performance benchmarking, and regression analysis. Solid understanding of GPU/accelerator performance, distributed training, and multi-node systems. Excellent communication skills and experience working with global, cross-functional teams. Preferred Qualifications Experience supporting production training releases or nightly CI for large ML platforms. Familiarity with LLM training, MoE models, or large-scale distributed systems. Experience working close to hardware/software co-design or performance optimization. Prior experience building a team or owning a new charter from scratch. #LI-PK1 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.