{"id":2911979,"url":"https://alion.io/job/amd-senior-field-application-engineer-ai","title":"Senior Field Application Engineer – AI","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":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":114000,"max_usd":216000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":669},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"HPC","optional":false},{"name":"Hugging Face","optional":false},{"name":"JAX","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"C++","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"Fortran","optional":true},{"name":"Kubernetes","optional":true},{"name":"KVM","optional":true},{"name":"Linux","optional":true},{"name":"Machine Learning","optional":true},{"name":"OpenMP","optional":true},{"name":"OpenShift","optional":true},{"name":"OpenStack","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-07-23T17:37:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-21T02:27:25Z","board_verified":true,"closed_at":null,"days_open":89,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":89},"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:\nWe are seeking a Field Application Engineer to join the AI and HPC Center of Excellence. The role broadly involves:\nworking with customers and partners in support of RFP-driven requests. Providing hands-on support to customers and partners to enable their AI workloads to run on AMD ‘Instinct’ datacenter GPUs\nbroader engineering investigations to understand both performance and characteristic performance across popular and customer-specific training and inference workloads. Understand competitive positioning\ncreating a body of technical documentation of AI performance on AMD hardware to support the Field Application team, partners, and customers\nThis is a ‘hands-on’ technical role, and we are looking for an individual with an established background in AI who is already familiar in executing and tuning training and inference workloads. In addition to the technical aspect you will also need to be able to create and deliver presentations and training both remotely and in person to our customers and partners.\nAMD continues to ramp its in-house AI expertise, and as such this role provides an opportunity for the candidate to grow within the role while creating a significant impact on the wider business, with significant visibility to executive level within AMD.\nThe role is based within the United States and will require some travel to customers and conferences both nationally and internationally.\nTHE PERSON:\nDoes this sound familiar? We'd love to talk!\nTrack record working within AI. You are currently in a role undertaking AI inference or training as a key part of your function.\nDemonstrable hands-on expertise working with popular AI frameworks.\nStrong positive can-do attitude willing to do what is necessary and lead others in the wider FAE team by example. Available to help colleagues.\nSkilled in independently prioritizing opportunities to deliver results on time.\nExcellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams.\nOpen to travel both domestic and international, approximately 10-20% over a year.\nKEY RESPONSIBILITIES:\nSupport winning new AI business. Enabling customers to execute their AI workloads on AMD Instinct GPUs, AMD Pensando™ Pollara AI NICs, and EPYC CPUs. Supporting partners in RFP responses by testing requested workloads.\nBuild and nurture deep technical relationships with engineers, architects, and leaders at key customer accounts, and serve as a trusted advisor through application- and system/MLops-focused POCs, presentations, and training.\nEngineering: execute popular and customer-driven AI inference and training workloads, generate results and create a characteristic understanding of AI performance on AMD hardware. Understand how system and software choices affect performance. Compare performance to our competition.\nRun training and inference performance investigations using common frameworks (Pytorch, Tensorflow, JAX) and using MLperf, Hugging Face etc.\nBuild a body of documentation for internal and external dissemination: AMD-internal guides, whitepapers, tuning guides, training collateral.\nProactive engagement across AMD teams: GPU Business Unit, Engineering, Architecture, Platform, Software, and Product Development teams providing feedback and leadership from the field on requirements. Gathering missing functionality and working with Engineering to resolve and test.\nAssist in creating Total Cost of Ownership models to aid pricing with bid desk.\nTechnically owning and resolving customer and partner issues. Submitting JIRA tickets and driving resolution.\nPREFERRED EXPERIENCE:\nDemonstrated experience with training and inference workloads on GPUs.\nExecuting applications in common frameworks (Pytorch, Tensorflow, Jax).\nAny experience with popular AI repositories (e.g. HuggingFace, MLperf) and understanding derived performance/functionality differences between them.\nMLops: familiarity with KVM, Kubernetes, Openstack, Openshift.\nUnderstanding system level hardware design and its impact on performance.\nUnderstand how the software stack affects performance: frameworks, precision, compilers, libraries, and other accompanying middleware applications.\nCustomer-facing experience. Able to write technical documents and communicate at an appropriate level depending on the audience.\nSome Linux administration; understanding setup for HPC/AI middleware.\nNice to Haves:\nHands-on AI experience within automotive, finance, healthcare, defense verticals.\nProgramming experience with any of HIP, CUDA, Python, C/C++, Fortran, OpenACC, OpenMP, pSTL.\nUnderstanding impact of inter-node network choices on performance at scale. Creating performance projections for applications.\nDeep Neural Networks and their design for different Machine Learning cases.\nAny experience understanding/inspecting/writing assembly.\nUnderstanding of memory and cache hierarchy and methods to query performance/latency at each level. Inspecting and dataflow down to the register-level.\nDatacenter deployment and management experience.\nGovernment level security clearance.\nACADEMIC CREDENTIALS:\nBachelors' Degree in a technical field (Computer Science, Electrical Engineering, Physics, Mathematics) preferred\nThis role is not eligible for visa sponsorship.\nLOCATION:\nAustin, TX and Remote\n#LI- REMOTE\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:\nWe are seeking a Field Application Engineer to join the AI and HPC Center of Excellence. The role broadly involves:\nworking with customers and partners in support of RFP-driven requests. Providing hands-on support to customers and partners to enable their AI workloads to run on AMD ‘Instinct’ datacenter GPUs\nbroader engineering investigations to understand both performance and characteristic performance across popular and customer-specific training and inference workloads. Understand competitive positioning\ncreating a body of technical documentation of AI performance on AMD hardware to support the Field Application team, partners, and customers\nThis is a ‘hands-on’ technical role, and we are looking for an individual with an established background in AI who is already familiar in executing and tuning training and inference workloads. In addition to the technical aspect you will also need to be able to create and deliver presentations and training both remotely and in person to our customers and partners.\nAMD continues to ramp its in-house AI expertise, and as such this role provides an opportunity for the candidate to grow within the role while creating a significant impact on the wider business, with significant visibility to executive level within AMD.\nThe role is based within the United States and will require some travel to customers and conferences both nationally and internationally.\nTHE PERSON:\nDoes this sound familiar? We'd love to talk!\nTrack record working within AI. You are currently in a role undertaking AI inference or training as a key part of your function.\nDemonstrable hands-on expertise working with popular AI frameworks.\nStrong positive can-do attitude willing to do what is necessary and lead others in the wider FAE team by example. Available to help colleagues.\nSkilled in independently prioritizing opportunities to deliver results on time.\nExcellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams.\nOpen to travel both domestic and international, approximately 10-20% over a year.\nKEY RESPONSIBILITIES:\nSupport winning new AI business. Enabling customers to execute their AI workloads on AMD Instinct GPUs, AMD Pensando™ Pollara AI NICs, and EPYC CPUs. Supporting partners in RFP responses by testing requested workloads.\nBuild and nurture deep technical relationships with engineers, architects, and leaders at key customer accounts, and serve as a trusted advisor through application- and system/MLops-focused POCs, presentations, and training.\nEngineering: execute popular and customer-driven AI inference and training workloads, generate results and create a characteristic understanding of AI performance on AMD hardware. Understand how system and software choices affect performance. Compare performance to our competition.\nRun training and inference performance investigations using common frameworks (Pytorch, Tensorflow, JAX) and using MLperf, Hugging Face etc.\nBuild a body of documentation for internal and external dissemination: AMD-internal guides, whitepapers, tuning guides, training collateral.\nProactive engagement across AMD teams: GPU Business Unit, Engineering, Architecture, Platform, Software, and Product Development teams providing feedback and leadership from the field on requirements. Gathering missing functionality and working with Engineering to resolve and test.\nAssist in creating Total Cost of Ownership models to aid pricing with bid desk.\nTechnically owning and resolving customer and partner issues. Submitting JIRA tickets and driving resolution.\nPREFERRED EXPERIENCE:\nDemonstrated experience with training and inference workloads on GPUs.\nExecuting applications in common frameworks (Pytorch, Tensorflow, Jax).\nAny experience with popular AI repositories (e.g. HuggingFace, MLperf) and understanding derived performance/functionality differences between them.\nMLops: familiarity with KVM, Kubernetes, Openstack, Openshift.\nUnderstanding system level hardware design and its impact on performance.\nUnderstand how the software stack affects performance: frameworks, precision, compilers, libraries, and other accompanying middleware applications.\nCustomer-facing experience. Able to write technical documents and communicate at an appropriate level depending on the audience.\nSome Linux administration; understanding setup for HPC/AI middleware.\nNice to Haves:\nHands-on AI experience within automotive, finance, healthcare, defense verticals.\nProgramming experience with any of HIP, CUDA, Python, C/C++, Fortran, OpenACC, OpenMP, pSTL.\nUnderstanding impact of inter-node network choices on performance at scale. Creating performance projections for applications.\nDeep Neural Networks and their design for different Machine Learning cases.\nAny experience understanding/inspecting/writing assembly.\nUnderstanding of memory and cache hierarchy and methods to query performance/late...","description_format":"text","description_chars":13341,"description_truncated":true,"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":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Processors, MCUs & AI Chips","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-20T09:44:57Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.164,"p_room":0.28,"age_days":89,"expected_fill_days":14,"reasons":["conf:2","win:tail","crowd:brand"],"computed_at":"2026-10-21T05:16:46Z"},"pay":null,"html_url":"https://alion.io/job/amd-senior-field-application-engineer-ai","json_url":"https://alion.io/job/amd-senior-field-application-engineer-ai.json","meta":{"generated_at":"2026-10-21T05:16:46Z","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":7751,"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-senior-field-application-engineer-ai"},{"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-field-application-engineer-ai"},{"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-field-application-engineer-ai"},{"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-field-application-engineer-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famd-senior-field-application-engineer-ai"}]}