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: Do you thrive in complex and innovative software development? If so, we have an awesome opportunity for a Firmware Development Engineer with a focus on embedded power management software development, adapting AI for optimization, system level control and ASIC debug. You will be responsible for the full complement of AMD's APU and CPU designs, developing features and driving continuous improvement in all areas. The Person: We are looking for an individual that loves embedded software, inspired by advanced technologies, thrives in cross team collaboration and is excited at the prospect of rapidly switching gears and moving to new programs and technologies. Key Responsibilities: Assume end-to-end responsibility for post-silicon activities related to power, performance and system management in CPU/APU products. Hands-on firmware development for embedded u-controllers in C, feature enablement and test plans. Analyze existing firmware performance and identify optimization opportunities using AI/ML Design and implement machine learning algorithms to enhance firmware efficiency and reliability Optimize AI models for deployment on resource-constrained embedded systems Prototype FW power management features for future chips by implementing them on existing products and studying their efficiency Develop automated firmware tuning systems using reinforcement learning or genetic algorithm Proactively drive quality improvements. Review team’s code and deliverables. Preferred Experience: Firmware Development: Prior, years of development experience in embedded systems programming (C/C++, assembly language) AI/ML Frameworks: Proficiency with TensorFlow, PyTorch, or similar machine learning frameworks Programming Languages: Strong skills in Python, C/C++, and embedded programming languages Hardware Knowledge: Understanding of microcontrollers, FPGAs, and hardware-software interfaces AI Implementation: Experience deploying AI models on resource-constrained embedded systems Optimization Techniques: Knowledge of code optimization, memory management, and real-time systems Hands-on programming in C / C++ and Python / Other scripting languages. Debugging embedded software / firmware. Understanding of supervised, unsupervised, and reinforcement learning algorithms Experience with quantization, pruning, and edge AI optimization techniques Ability to analyze firmware performance data and identify optimization opportunities Capability to design and implement custom AI algorithms for firmware applications Academic Credentials: Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or related field. Master's degree preferred, especially with focus on AI/ML or embedded systems #LI-LB1 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.