Senior Technical Leader- AI SW Development Job Listing at AMD in Bengaluru, KA (Job ID 77304-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.  

As an Lead Engineer in AMD's Physical AI and ROCm Software teams, you will design, develop, and optimize system‑level and runtime software that powers embodied and physical‑world AI workloads (robotics, perception, vision-language-action models, multi‑modal inference) on AMD accelerators including Ryzen AI NPUs, GPUs (Instinct/Radeon), and ROCm platforms.
You'll work on the intersection of AI system software, hardware acceleration, robotics/physical AI, and high‑performance runtime frameworks.

This role combines responsibilities typically seen in ROCm HIP Runtime development, AI system software optimization, embedded AI enablement, and performance engineering.

Based on AMD's Lead HIP Runtime and ROCm AI system software roles:

• Design and develop new ROCm/HIP runtime features supporting AI workloads. 
• Optimize the AI software stack across PyTorch, vLLM, GGML/llama.cpp, ONNX Runtime, and other open‑source frameworks.
• Participate in bring‑up of platforms and enable AI acceleration on GPUs and NPUs. 
• Implement high‑performance kernels/operators and contribute to compiler/runtime optimization.
• Work closely with AMD architecture teams to guide future product enhancements.

Relevant to Physical AI initiatives from internal decks:

• Develop system software enabling perception, navigation, robotics stacks, VLA (Vision‑Language‑Action) models, and embodied AI workloads on AMD ROCm‑based systems. 
• Optimize performance for robotics pipelines, sensor fusion, simulation, and control loops running on GPUs/NPUs.
• Support Physical AI model enablement with internal teams and external partners.
• Work on end‑to‑end physical‑AI inference pipelines including model deployment, quantization, and real‑time optimization.

• Conduct profiling, tuning, and performance bottleneck analysis for physical‑AI and robotics workloads on AMD hardware.
• Develop/debug tools for runtime and model‑level optimization (profilers, visualizers, instrumentation).
• Provide deep‑dive debugging support across the AI software stack and runtime layers.

• Collaborate with hardware, compiler, ML framework, robotics, and embedded Linux teams.
• Engage with internal teams and external partners
• Contribute to open‑source ROCm components and partner with ecosystem developers.

• Strong expertise in C/C++, with experience in performance‑critical system software.
• Experience with GPU/NPU compute programming: HIP, CUDA, OpenCL is a strong plus.
• Deep understanding of AI/ML inference, quantization, kernel optimization, and runtime frameworks.
• Strong experience with Linux systems, build tools, debuggers, profilers, and source control (Git).
• Familiarity with robotics, perception stacks, simulation frameworks, or embedded AI systems is desirable.

• Experience with ROCm ecosystem, HIP runtime, MLIR, compilers, or driver‑level development.
• Knowledge of physical AI workloads such as multimodal models, depth/vision inference, navigation, etc.
• Exposure to embedded Linux, containers, and edge inference platforms.

• Ability to drive sophisticated technical issues to closure independently. 
• Strong communication and cross‑team collaboration skills.
• Leadership mindset to influence roadmap and architecture decisions.

• Bachelor's or Master's degree in CS, CE, EE, or equivalent.

• Direct impact on AMD's Physical AI strategy, enabling embodied AI and next‑generation robotics platforms.
• Work across the full AMD AI stack: NPUs, GPUs, compilers, runtimes, models, and robotics frameworks.
• Contribute to cutting‑edge ROCm advancements and future AI hardware/software co‑design.

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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.