Sr. Manager Software Development - AI Performance

Publicerad2026-03-27

Ansök senast2026-04-25

Om jobbet

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:
AMD is looking for a Senior Manager to lead a high-performing team of performance engineers focused on optimizing frontier AI workloads on AMD GPUs. You will shape the technical vision, set direction for performance optimization strategies, and ensure alignment with customer needs and business goals.

KEY RESPONSIBILITIES:

Lead and grow a team of performance engineers, ensuring professional development, productivity, and engagement
Drive the development and delivery of performance optimization solutions aligned with customer and business goals
Engage directly with customers to understand their performance needs and translate them into actionable engineering plans
Set technical direction by identifying performance bottlenecks and defining strategies to overcome them, informed by end-to-end understanding of AI workloads and system design
Contribute to and lead efforts in major open-source AI frameworks (e.g., vLLM, SGLang) to improve customer experience and influence the ecosystem
Communicate effectively with upper management on team progress, technical challenges, and customer requirements
Collaborate with cross-functional teams to define priorities and ensure timely execution
Establish and uphold best practices in software development, profiling, benchmarking, and project management
Foster a culture of continuous improvement, innovation, and technical excellence

THE PERSON:
The ideal candidate combines deep technical expertise with strong leadership skills. You understand the full AI system - from model architecture and inference paradigms to GPU performance and rack-level design - and can translate that understanding into team direction, customer engagement, and upstream influence. If you are passionate about getting the best out of the hardware and shaping the future of AI performance together with your team, this role is for you.

PREFERRED EXPERIENCE:

Deep understanding of GPU architectures, memory hierarchy, instruction scheduling, and performance tradeoffs
Understanding of end-to-end AI systems: model architectures, inference paradigms (e.g., prefill-decode disaggregation, speculative decoding), and system/rack-level design considerations
Strong background in performance engineering, including profiling, benchmarking, and low-level optimization
Experience with AI/ML workloads and understanding of model behavior and compute/memory requirements
Proven ability to lead and scale engineering teams in a fast-paced, customer-facing environment
Strong proficiency in PyTorch
Familiarity with major open-source AI frameworks such as vLLM and SGLang
Hands-on experience with C++ and GPU programming using HIP, CUDA, or OpenCL
Strong Linux systems knowledge and experience working in Linux-based development environments
Solid understanding of modern software engineering practices (CI/CD, cloud infrastructure, DevOps)
Excellent communication, organizational, and leadership skills
Strong written and spoken English; working language is English
Experience working with agile methodologies and cross-functional teams

ACADEMIC CREDENTIALS: