{"id":3016362,"url":"https://alion.io/job/amd-generative-ai-engineer-graphics","title":"Generative AI Engineer - Graphics","company":{"id":93,"name":"AMD","domain":"amd.com","url":"https://alion.io/company/amd","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":{"grade":"B","score":80,"open_postings":160,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":156000,"max_usd":344000,"period":"year","method":"role_country_seniority_unknown","sample_n":4194},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Diffusion Models","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"AI Agents","optional":true},{"name":"C++","optional":true},{"name":"CI/CD","optional":true},{"name":"Computer Vision","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Git","optional":true},{"name":"JAX","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true}],"status":"live","first_seen_at":"2026-10-21T16:20:00Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-23T18:20:04Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"ADVANCE YOUR CAREER. ADVANCE THE WORLD.\nAt AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.\nWhether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we’ll advance your career.\nTHE ROLE\nAMD is seeking an experienced AI/ML Engineer to join our Applied Research and Engineering team focused on advancing the next generation of Generative AI technologies. In this role, you will develop and optimize state-of-the-art AI models for image generation, diffusion-based learning, and multimodal applications that push the boundaries of visual computing. You will work alongside industry-leading researchers, software engineers, and hardware architects to build innovative AI solutions that leverage AMD’s latest GPU technologies and accelerate the future of content creation, graphics, and intelligent computing.\nTHE PERSON\nThe ideal candidate is passionate about Generative AI, machine learning, and developing cutting-edge models that solve complex real-world problems. You are comfortable working in a fast-paced research and engineering environment, possess strong software development skills, and enjoy collaborating across multidisciplinary teams. You have a deep understanding of modern AI architecture and are excited about translating research into production-scale solutions.\nKEY RESPONSIBILITIES\nDevelop, train, fine-tune, and optimize Generative AI models for image generation and visual content creation.\nDesign and implement diffusion models, multimodal architectures, and advanced machine learning algorithms.\nBuild scalable training and inference pipelines leveraging high-performance GPU computing.\nEvaluate model quality, performance, and efficiency using state-of-the-art techniques and benchmarks.\nCollaborate with research, software, and hardware teams to integrate AI innovations into AMD technologies.\nOptimize AI workloads for AMD GPU architectures and contribute to performance analysis and improvements.\nStay current with emerging advancements in Generative AI, image synthesis, diffusion models, and large-scale machine learning.\nPREFERRED EXPERIENCE\nStrong software development experience in Python and C++.\nDeep understanding of machine learning, deep learning, and neural network architectures.\nExperience developing and training diffusion models, image generation models, GANs, transformers, or multimodal AI systems.\nHands-on experience with PyTorch, TensorFlow, JAX, or similar machine learning frameworks.\nExperience fine-tuning and deploying large-scale AI models.\nFamiliarity with distributed training, model optimization, and GPU acceleration techniques.\nExperience building AI training and inference pipelines in production environments.\nKnowledge of computer vision, image synthesis, and multimodal learning techniques.\nExperience with MLOps, CI/CD workflows, Git, and modern software engineering practices.\nExperience leveraging AI coding assistants, agentic AI systems, or automated development workflows.\nStrong communication, collaboration, and problem-solving skills.\nACADEMIC CREDENTIALS\nMaster's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Engineering, or a related technical field preferred.\nLOCATION: On-Site\nAustin, TX\nBoston, MA\nOrlando, FL\nSan Jose, California\nMarkham, ON, Canada\nThis role is not eligible for visa sponsorship.\nBenefits offered are described: AMD benefits at a glance.\nAMD 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.\nAMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.\n\nThis posting is for an existing vacancy.\nTHE ROLE\nAMD is seeking an experienced AI/ML Engineer to join our Applied Research and Engineering team focused on advancing the next generation of Generative AI technologies. In this role, you will develop and optimize state-of-the-art AI models for image generation, diffusion-based learning, and multimodal applications that push the boundaries of visual computing. You will work alongside industry-leading researchers, software engineers, and hardware architects to build innovative AI solutions that leverage AMD’s latest GPU technologies and accelerate the future of content creation, graphics, and intelligent computing.\nTHE PERSON\nThe ideal candidate is passionate about Generative AI, machine learning, and developing cutting-edge models that solve complex real-world problems. You are comfortable working in a fast-paced research and engineering environment, possess strong software development skills, and enjoy collaborating across multidisciplinary teams. You have a deep understanding of modern AI architecture and are excited about translating research into production-scale solutions.\nKEY RESPONSIBILITIES\nDevelop, train, fine-tune, and optimize Generative AI models for image generation and visual content creation.\nDesign and implement diffusion models, multimodal architectures, and advanced machine learning algorithms.\nBuild scalable training and inference pipelines leveraging high-performance GPU computing.\nEvaluate model quality, performance, and efficiency using state-of-the-art techniques and benchmarks.\nCollaborate with research, software, and hardware teams to integrate AI innovations into AMD technologies.\nOptimize AI workloads for AMD GPU architectures and contribute to performance analysis and improvements.\nStay current with emerging advancements in Generative AI, image synthesis, diffusion models, and large-scale machine learning.\nPREFERRED EXPERIENCE\nStrong software development experience in Python and C++.\nDeep understanding of machine learning, deep learning, and neural network architectures.\nExperience developing and training diffusion models, image generation models, GANs, transformers, or multimodal AI systems.\nHands-on experience with PyTorch, TensorFlow, JAX, or similar machine learning frameworks.\nExperience fine-tuning and deploying large-scale AI models.\nFamiliarity with distributed training, model optimization, and GPU acceleration techniques.\nExperience building AI training and inference pipelines in production environments.\nKnowledge of computer vision, image synthesis, and multimodal learning techniques.\nExperience with MLOps, CI/CD workflows, Git, and modern software engineering practices.\nExperience leveraging AI coding assistants, agentic AI systems, or automated development workflows.\nStrong communication, collaboration, and problem-solving skills.\nACADEMIC CREDENTIALS\nMaster's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Engineering, or a related technical field preferred.\nLOCATION: On-Site\nAustin, TX\nBoston, MA\nOrlando, FL\nSan Jose, California\nMarkham, ON, Canada\nThis role is not eligible for visa sponsorship.\nBenefits offered are described: AMD benefits at a glance.\nAMD 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.\nAMD may use Artificial Intelligence to help screen, assess or select applicants for this position. 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