{"id":2910835,"url":"https://alion.io/job/amd-senior-gpu-software-engineer-ai-hpc-rocm","title":"Senior GPU Software Engineer - AI & HPC (ROCm)","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":162,"ghost_share":0,"stale_share":0.994,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Belgrade, Serbia"],"countries":["RS"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":51000,"max_usd":134000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"HPC","optional":false},{"name":"Machine Learning","optional":false},{"name":"ROCm","optional":false},{"name":"CUDA","optional":true}],"status":"live","first_seen_at":"2026-09-22T14:36:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-26T09:13:23Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"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.\nHybrid with up to 3 days per week in office. (Belgrade, Novi Sad, Niš)\nTHE ROLE\nJoin AMD's GPU Software team and help shape the future of machine learning and high-performance computing. As a GPU Software Architect, you will play a key role in designing, developing, and optimizing innovative GPU features that power next-generation AI and HPC workloads.\nWorking across software, machine learning, math libraries, and GPU architecture teams, you will drive feature development from concept through deployment. Your work will span core workloads such as Convolution, GEMM, and Attention, helping deliver high-performance solutions that enable our customers to solve complex challenges at scale.\nTHE PERSON\nWe're looking for a collaborative and curious engineer who is passionate about GPU computing, machine learning, and performance optimization. You enjoy solving complex technical problems, learning new technologies, and working with diverse teams to deliver innovative solutions.\nWhether your expertise comes from machine learning, HPC, GPU programming, DSP software, AI accelerators, or a combination of these areas, we encourage you to apply if you're excited about advancing high-performance compute software and helping customers achieve exceptional performance with ROCm.\nKEY RESPONSIBILITIES\nDesign and develop high-performance GPU kernels for machine learning and Convolution workloads using HIP.\nCollaborate with GPU architects to explore, evaluate, and leverage emerging hardware features.\nAnalyse, profile, and optimize GPU kernel performance, identifying opportunities for continuous improvement.\nCreate technical documentation, share best practices, and support the adoption of new capabilities within ROCm.\nPartner with engineers, researchers, customers, and ecosystem partners to enhance ROCm applications, libraries, tools, and hardware.\nPREFERRED QUALIFICATIONS\nExperience with GPU, DSP, AI accelerator, or other parallel compute architectures, performance analysis, algorithm development, and machine learning workloads\nHands-on experience developing and optimizing GPU software using HIP, CUDA, or similar technologies.\nUnderstanding of GPU runtimes, compilers, machine learning frameworks, HPC libraries, and performance optimization techniques.\nKnowledge of software engineering best practices, including testing, profiling, debugging, version control, and documentation.\nStrong communication and collaboration skills, with the ability to work effectively across multidisciplinary teams.\nEDUCATION & EXPERIENCE\nBachelor’s degree in computer science, Computer Engineering, or a related technical field.\nSignificant experience in GPU software development, machine learning, HPC, or a related domain.\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.\nHybrid with up to 3 days per week in office. (Belgrade, Novi Sad, Niš)\nTHE ROLE\nJoin AMD's GPU Software team and help shape the future of machine learning and high-performance computing. As a GPU Software Architect, you will play a key role in designing, developing, and optimizing innovative GPU features that power next-generation AI and HPC workloads.\nWorking across software, machine learning, math libraries, and GPU architecture teams, you will drive feature development from concept through deployment. Your work will span core workloads such as Convolution, GEMM, and Attention, helping deliver high-performance solutions that enable our customers to solve complex challenges at scale.\nTHE PERSON\nWe're looking for a collaborative and curious engineer who is passionate about GPU computing, machine learning, and performance optimization. You enjoy solving complex technical problems, learning new technologies, and working with diverse teams to deliver innovative solutions.\nWhether your expertise comes from machine learning, HPC, GPU programming, DSP software, AI accelerators, or a combination of these areas, we encourage you to apply if you're excited about advancing high-performance compute software and helping customers achieve exceptional performance with ROCm.\nKEY RESPONSIBILITIES\nDesign and develop high-performance GPU kernels for machine learning and Convolution workloads using HIP.\nCollaborate with GPU architects to explore, evaluate, and leverage emerging hardware features.\nAnalyse, profile, and optimize GPU kernel performance, identifying opportunities for continuous improvement.\nCreate technical documentation, share best practices, and support the adoption of new capabilities within ROCm.\nPartner with engineers, researchers, customers, and ecosystem partners to enhance ROCm applications, libraries, tools, and hardware.\nPREFERRED QUALIFICATIONS\nExperience with GPU, DSP, AI accelerator, or other parallel compute architectures, performance analysis, algorithm development, and machine learning workloads\nHands-on experience developing and optimizing GPU software using HIP, CUDA, or similar technologies.\nUnderstanding of GPU runtimes, compilers, machine learning frameworks, HPC libraries, and performance optimization techniques.\nKnowledge of software engineering best practices, including testing, profiling, debugging, version control, and documentation.\nStrong communication and collaboration skills, with the ability to work effectively across multidisciplinary teams.\nEDUCATION & EXPERIENCE\nBachelor’s degree in computer science, Computer Engineering, or a related technical field.\nSignificant experience in GPU software development, machine learning, HPC, or a related domain.\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":7904,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Serbia","iso":"RS","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Processors, MCUs & AI Chips","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-20T09:28:01Z"}],"visa":[],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.561,"p_room":0.55,"age_days":33,"expected_fill_days":29,"reasons":["conf:1","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":null,"html_url":"https://alion.io/job/amd-senior-gpu-software-engineer-ai-hpc-rocm","json_url":"https://alion.io/job/amd-senior-gpu-software-engineer-ai-hpc-rocm.json","meta":{"generated_at":"2026-10-26T10:01:29Z","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":13583,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"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-gpu-software-engineer-ai-hpc-rocm"},{"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-gpu-software-engineer-ai-hpc-rocm"},{"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-gpu-software-engineer-ai-hpc-rocm"},{"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-gpu-software-engineer-ai-hpc-rocm\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famd-senior-gpu-software-engineer-ai-hpc-rocm"}]}