Location: Santa Clara, CA | Austin, TX | Bellevue, WA | Role: Principal Deep Learning Data Scientist
At AMD, we believe in the power of technology to transform lives, drive innovation, and enrich communities. We're on a mission to accelerate next-generation computing experiences across industries, from data centers to artificial intelligence, gaming, and beyond. Our culture is driven by collaboration, humility, and diversity, and we believe that the best ideas come from diverse perspectives.
AI is defining the next era of computing, and we’re just getting started. From medical research to tackling urban congestion, AI’s impact is profound. With a world-class AI Software Solutions Team, we’re advancing AI optimization and fine-tuning large language models to bring Generative AI to the forefront. If you’re excited to shape the future of AI with one of the top AI companies globally, we want YOU to be part of our journey.
As a Principal Deep Learning Data Scientist, you’ll join a team of experts crafting the next generation of ML and AI solutions for Enterprise Data Center GPUs. Your contributions will directly impact cutting-edge AI workloads, accelerating models, and optimizing AI solutions for top-tier customers.
AI Model Optimization:
Prototype customer AI workloads and work with the optimization team to accelerate deep learning models on AMD infrastructure.
AI Solution Delivery:
Deliver innovative AI solutions aligned with product roadmaps, ensuring high quality and timely delivery.
Cross-functional Collaboration:
Engage with cross-functional teams and key stakeholders, playing a critical role in the full software & model development lifecycle—from requirement gathering to final release.
Customer Support:
Take a hands-on role in resolving critical customer escalations, ensuring that customer satisfaction remains a top priority.
Continuous Learning:
Stay up to date with evolving AI methods and tools to improve product quality and consistency across the board.
Deep Learning Expertise:
A proven track record in implementing deep learning models and AI solutions across computer vision, language models, reinforcement learning, and/or recommender systems. If you have experience in at least two of these areas, we want to hear from you!
AI Frameworks Experience:
Proficiency in popular AI/ML frameworks such as PyTorch, TensorFlow, and JAX (including FLAN).
Accelerated Computing Knowledge:
Familiarity with GPU, TPU, and APU acceleration platforms to deliver cutting-edge AI solutions.
Strong Academic Background:
BS, MS, or PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field from a top-tier institution.
A Place to Grow:
Join a collaborative, diverse, and inclusive team that thrives on challenging problems and innovative solutions.
Competitive Salary & Incentives:
Competitive pay with bonuses, AMD stock ownership opportunities, and a generous benefits package.
Flexibility:
Work in a hybrid environment with flexible work options available, ensuring a healthy work-life balance.
Diversity & Inclusion:
AMD fosters an inclusive environment, considering all applicants without regard to any protected characteristic. We encourage people from all backgrounds to apply.
Key Skills: