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Principal AI Software Engineer

AMD

San Jose, CaliforniaFull TimePrincipal
Sign in to applyVerified 1h ago
Location
San Jose, California
Employment
Full Time
Work model
On-Site
Level
Principal

About this role

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 AI Group is seeking a highly influential technical leader for OneROCm  — driving a unified ROCm software stack across AMD’s broad product portfolio, including Instinct, Radeon, Ryzen, Embedded, Game Consoles, and Autonomous Driving platforms. This is a rare opportunity to drive innovation, and help develop next-generation products(NPI) at company-wide scale. The ideal candidate will shape the end-to-end ROCm software and influence the full stack, spanning compilers, kernels, runtime, libraries, models, frameworks, and performance optimization layers. The role also requires strong hardware/software co-design to maximize performance across diverse AMD products and workloads. The ideal candidate is expected to be highly hands-on and embrace agentic AI workflows. THE PERSON:     You are a strong technical leader who  is able to  work across organizations, align architecture with product goals, and influence  innovation and  execution. You bring deep  expertise  in at least one major area of the stack, while also  demonstrating  the curiosity, adaptability, and technical breadth to learn new domains, grow their impact, and influence the broader ecosystem.   As a successful candidate, you are recognized for technical excellence, and the ability to d eliver  innovation s  through collaboration across silicon, system software, AI/ML frameworks, libraries, and application enablement teams.

KEY RESPONSIBILITIES

Hardware-Software Co-design: Collaborate across hardware architecture, compiler, math libraries,  kernel  and framework teams to influence future silicon features based on evolving AI workload trends.   Strong Execution: Deliver innovations and roadmap for AI software stack across all AMD products, ensuring AMD  remains  the platform of choice for top-tier AI customers.   Workload Performance Engineering: Lead the profiling, analysis, and tuning of large-scale models (LLMs, Diffusion, Multimodal, and  MoE ) to ensure "out-of-the-box" performance excellence on AMD hardware.   Ecosystem Innovation: Drive the development of advanced tools and frameworks for performance estimation, modeling, and automated reporting.   Customer Engagement: Partner with top customers and  hyperscalers  to understand their unique workload requirements and deliver tailored architectural wins and software optimizations.   Community &  Open Source : Mentor and inspire  other  engineers  and contribute to  ROCm  Opensource .

PREFERRED EXPERIENCE

Knowledge in GPU architectures, basic knowledge of CPU architecture    Experience in AI/ML software stack  spanning compilers, kernels, runtime, libraries, models, frameworks, and performance optimization layers   Understanding of GPU programming such as  ROCm , CUDA, OpenCL,  etc   Experience in hardware/software co-design, building high-performance products across the full product lifecycle.   Experience with operating systems (OS) and device driver development is a plus     ACADEMIC CREDENTIALS:     Undergrad  degree required .   Bachelor of Science, Masters, or PhD degree with emphasis in Electrical Engineering, Computer architecture, or Computer Science with relevant

Principal AI Software Engineer at AMD, San Jose, California | Yoinka