{"id":2911932,"url":"https://alion.io/job/amd-ai-framework-engineer-2","title":"AI Framework 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":null},"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":["Shanghai, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":44000,"max_usd":113000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2216},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Linux","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"CUDA","optional":true},{"name":"CUTLASS","optional":true},{"name":"LLVM","optional":true},{"name":"Machine Learning","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Triton","optional":true}],"status":"live","first_seen_at":"2026-08-04T08:41:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-21T11:49:04Z","board_verified":true,"closed_at":null,"days_open":78,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":78},"description":"WHAT YOU DO AT AMD CHANGES EVERYTHING\nAt AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gamingand embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuityand a shared passion to create something extraordinary. When you join AMD, you’lldiscover 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.\nTHE ROLE:\nAs a core member of the team, you will play a pivotal role in optimizingand developing deep learning frameworks for AMD GPUs. Your strong experience will be critical in enhancing GPU kernels, deep learning models, and training/inference performance across multi-GPU and multi-node systems. You will engage with both internal GPU library teams and open-source maintainers to ensure seamless integration of optimizations, utilizingcutting-edgecompiler technologies and advanced engineering principles to drive continuous improvement.\nTHE PERSON:\nHighly skilled engineer with strong technical and analytical expertise in C++ development within Linux environments. The ideal candidate will thrive in both collaborative team settings and independent work, with the ability to define goals, manage development efforts, and deliver high-quality solutions. Strong problem-solving skills, a proactive approach, and a keen understanding of software engineering best practices are essential.\nKEY RESPONSIBILITIES:\nOptimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorchfor AMD GPUs in open-source repositories.\nDevelop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations.\nDevelop & Optimize Models: Design and optimize deep learning models specifically for AMD GPU performance.\nCollaborate with GPU Library Teams: Work closely with internal teams to analyze and improve training and inference performance on AMD GPUs.\nCollaborate with Open-Source Maintainers: Engage with framework maintainers to ensure code changes are aligned with requirements and integrated upstream.\n Work in Distributed Computing Environments: Optimize deep learning performance on both scale-up (multi-GPU) and scale-out (multi-node) systems.\nUtilize Cutting-Edge Compiler Tech: Leverage advanced compiler technologies to improve deep learning performance.\nOptimize Deep Learning Pipeline: Enhance the full pipeline, including integrating graph compilers.\nSoftware Engineering Best Practices: Apply sound engineering principles to ensure robust, maintainable solutions.\nMentor and Guide: Provide mentorship to junior team members, fostering growth and collaboration through code reviews, knowledge sharing, and technical guidance. \nPREFERRED EXPERIENCE:\n GPU Kernel Development & Optimization: Strong experience in designing and optimizing GPU kernels for deep learning on AMD GPUs using HIP, CUDA, and assembly (ASM). Strong knowledge of AMD architectures (GCN, RDNA) and low-level programming to maximize performance for AI operations, leveraging tools like Compute Kernel (CK), CUTLASS, and Triton for multi-GPU and multi-platform performance.\n Deep Learning Integration: Strong experience in integrating optimized GPU performance into machine learning frameworks (e.g., TensorFlow, PyTorch) to accelerate model training and inference, with a focus on scaling and throughput.\nSoftware Engineering: Expert skills in Python and C++, with experience in debugging, performance tuning, and test design to ensure high-quality, maintainable software solutions.\nHigh-Performance Computing: Strong experience in running large-scale workloads on heterogeneous computeclusters, optimizing forefficiency and scalability.\nCompiler Optimization: Sound understanding of compiler theory and tools like LLVM and ROCmfor kernel and system performance optimization.\nACADEMIC CREDENTIALS:\nMaster’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.\n5+ years of professional experience in technical software development, with a focus on GPU optimization, performance engineering, and framework development.\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:\nAs a core member of the team, you will play a pivotal role in optimizingand developing deep learning frameworks for AMD GPUs. Your strong experience will be critical in enhancing GPU kernels, deep learning models, and training/inference performance across multi-GPU and multi-node systems. You will engage with both internal GPU library teams and open-source maintainers to ensure seamless integration of optimizations, utilizingcutting-edgecompiler technologies and advanced engineering principles to drive continuous improvement.\nTHE PERSON:\nHighly skilled engineer with strong technical and analytical expertise in C++ development within Linux environments. The ideal candidate will thrive in both collaborative team settings and independent work, with the ability to define goals, manage development efforts, and deliver high-quality solutions. Strong problem-solving skills, a proactive approach, and a keen understanding of software engineering best practices are essential.\nKEY RESPONSIBILITIES:\nOptimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorchfor AMD GPUs in open-source repositories.\nDevelop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations.\nDevelop & Optimize Models: Design and optimize deep learning models specifically for AMD GPU performance.\nCollaborate with GPU Library Teams: Work closely with internal teams to analyze and improve training and inference performance on AMD GPUs.\nCollaborate with Open-Source Maintainers: Engage with framework maintainers to ensure code changes are aligned with requirements and integrated upstream.\n Work in Distributed Computing Environments: Optimize deep learning performance on both scale-up (multi-GPU) and scale-out (multi-node) systems.\nUtilize Cutting-Edge Compiler Tech: Leverage advanced compiler technologies to improve deep learning performance.\nOptimize Deep Learning Pipeline: Enhance the full pipeline, including integrating graph compilers.\nSoftware Engineering Best Practices: Apply sound engineering principles to ensure robust, maintainable solutions.\nMentor and Guide: Provide mentorship to junior team members, fostering growth and collaboration through code reviews, knowledge sharing, and technical guidance. \nPREFERRED EXPERIENCE:\n GPU Kernel Development & Optimization: Strong experience in designing and optimizing GPU kernels for deep learning on AMD GPUs using HIP, CUDA, and assembly (ASM). Strong knowledge of AMD architectures (GCN, RDNA) and low-level programming to maximize performance for AI operations, leveraging tools like Compute Kernel (CK), CUTLASS, and Triton for multi-GPU and multi-platform performance.\n Deep Learning Integration: Strong experience in integrating optimized GPU performance into machine learning frameworks (e.g., TensorFlow, PyTorch) to accelerate model training and inference, with a focus on scaling and throughput.\nSoftware Engineering: Expert skills in Python and C++, with experience in debugging, performance tuning, and test design to ensure high-quality, maintainable software solutions.\nHigh-Performance Computing: Strong experience in running large-scale workloads on heterogeneous computeclusters, optimizing forefficiency and scalability.\nCompiler Optimization: Sound understanding of compiler theory and tools like LLVM and ROCmfor kernel and system performance optimization.\nACADEMIC CREDENTIALS:\nMaster’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.\n5+ years of professional experience in technical software development, with a focus on GPU optimization, performance engineering, and framework development.\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":10017,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-20T09:44:57Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.343,"p_room":0.28,"age_days":77,"expected_fill_days":15,"reasons":["conf:3","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/amd-ai-framework-engineer-2","json_url":"https://alion.io/job/amd-ai-framework-engineer-2.json","meta":{"generated_at":"2026-10-21T13:55:30Z","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":19781,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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-ai-framework-engineer-2"},{"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-ai-framework-engineer-2"},{"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-ai-framework-engineer-2"},{"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-ai-framework-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famd-ai-framework-engineer-2"}]}