{"id":2930093,"url":"https://alion.io/job/amd-senior-graphics-machine-learning-engineer","title":"Senior Graphics Machine Learning Engineer","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":75,"open_postings":163,"ghost_share":0,"stale_share":0.994,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Munich, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":89000,"max_usd":195000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"CMake","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Ray","optional":false},{"name":"Computer Vision","optional":true},{"name":"CUDA","optional":true},{"name":"Diffusion Models","optional":true},{"name":"Knowledge Distillation","optional":true},{"name":"Model Distillation","optional":true},{"name":"OpenCL","optional":true},{"name":"Quantization","optional":true}],"status":"live","first_seen_at":"2026-10-20T13:08:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-24T02:30:27Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"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:\nA seasoned Machine Learning Engineer to develop and optimize machine learning models for graphics, rendering, and visual computing applications. The ideal candidate will have deep expertise in machine learning and neural network architectures, combined with a solid understanding of real-time graphics technologies and GPU-accelerated workloads. This role involves close collaboration with research and engineering teams to deliver innovative ML solutions that enhance visual quality, rendering efficiency, and user experiences.\nTHE PERSON:\nThe ideal candidate should be passionate about machine learning and its application to graphics and visual computing. They should possess strong problem-solving skills, be able to drive complex technical issues to resolution, and communicate effectively while collaborating across multidisciplinary teams. The Applied Research and Engineering team is looking for the following:\nKEY RESPONSIBILITIES:\nProficiency in machine learning and neural network architectures.\nExperience developing, training, and optimizing machine learning models using modern ML frameworks.\nStrong programming skills in Python and C++.\nUnderstanding of machine learning techniques and their application to graphics, rendering, and visual computing problems.\nSolid understanding of real-time graphics fundamentals, including 3D rendering pipelines, GPU architectures, and ray tracing concepts.\nExperience optimizing machine learning workloads for GPU platforms.\nGeneral software development workflow knowledge, including Git, CMake, CI/CD, testing, and debugging.\nAbility to collaborate effectively with researchers, graphics engineers, and software developers.\nProficient in English.\nPREFERRED EXPERIENCE:\nStrong object-oriented programming background.\nExperience applying machine learning techniques to image enhancement, denoising, super-resolution, frame interpolation, or related visual computing challenges.\nUnderstanding of vision transformers and diffusion models.\nFamiliarity with graphics and compute APIs such as Direct3D, Vulkan, CUDA, or OpenCL.\nUnderstanding of model optimization techniques, including distillation, quantization, pruning, or compression.\nExperience with GPU performance optimization.\nExperience with software development processes and tools such as debuggers, source code control systems (Git), profilers, and continuous integration systems.\nAbility to write high-quality, maintainable code with strong attention to detail.\nEffective communication and problem-solving skills.\nStrong interpersonal and collaboration skills.\nExperience coding with AI-assisted development tools and agents.\nACADEMIC CREDENTIALS:\nMaster's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, or equivalent.\nRelevant industry experience in machine learning, computer vision, graphics, or visual computing will also be considered.\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:\nA seasoned Machine Learning Engineer to develop and optimize machine learning models for graphics, rendering, and visual computing applications. The ideal candidate will have deep expertise in machine learning and neural network architectures, combined with a solid understanding of real-time graphics technologies and GPU-accelerated workloads. This role involves close collaboration with research and engineering teams to deliver innovative ML solutions that enhance visual quality, rendering efficiency, and user experiences.\nTHE PERSON:\nThe ideal candidate should be passionate about machine learning and its application to graphics and visual computing. They should possess strong problem-solving skills, be able to drive complex technical issues to resolution, and communicate effectively while collaborating across multidisciplinary teams. The Applied Research and Engineering team is looking for the following:\nKEY RESPONSIBILITIES:\nProficiency in machine learning and neural network architectures.\nExperience developing, training, and optimizing machine learning models using modern ML frameworks.\nStrong programming skills in Python and C++.\nUnderstanding of machine learning techniques and their application to graphics, rendering, and visual computing problems.\nSolid understanding of real-time graphics fundamentals, including 3D rendering pipelines, GPU architectures, and ray tracing concepts.\nExperience optimizing machine learning workloads for GPU platforms.\nGeneral software development workflow knowledge, including Git, CMake, CI/CD, testing, and debugging.\nAbility to collaborate effectively with researchers, graphics engineers, and software developers.\nProficient in English.\nPREFERRED EXPERIENCE:\nStrong object-oriented programming background.\nExperience applying machine learning techniques to image enhancement, denoising, super-resolution, frame interpolation, or related visual computing challenges.\nUnderstanding of vision transformers and diffusion models.\nFamiliarity with graphics and compute APIs such as Direct3D, Vulkan, CUDA, or OpenCL.\nUnderstanding of model optimization techniques, including distillation, quantization, pruning, or compression.\nExperience with GPU performance optimization.\nExperience with software development processes and tools such as debuggers, source code control systems (Git), profilers, and continuous integration systems.\nAbility to write high-quality, maintainable code with strong attention to detail.\nEffective communication and problem-solving skills.\nStrong interpersonal and collaboration skills.\nExperience coding with AI-assisted development tools and agents.\nACADEMIC CREDENTIALS:\nMaster's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, or equivalent.\nRelevant industry experience in machine learning, computer vision, graphics, or visual computing will also be considered.\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.","description_format":"text","description_chars":8286,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-20T14:26:55Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":28,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/amd-senior-graphics-machine-learning-engineer","json_url":"https://alion.io/job/amd-senior-graphics-machine-learning-engineer.json","meta":{"generated_at":"2026-10-24T06:19:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":9149,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":93},"rest":"https://alion.io/mcp/rest/get_company?id=93"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Famd-senior-graphics-machine-learning-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Famd-senior-graphics-machine-learning-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Famd-senior-graphics-machine-learning-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/amd-senior-graphics-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famd-senior-graphics-machine-learning-engineer"}]}