{"id":2912032,"url":"https://alion.io/job/amd-physical-ai-computer-vision-engineer","title":"Physical AI, Computer Vision 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":162,"ghost_share":0,"stale_share":0.994,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-25T05:49:26Z"}},"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":148000,"max_usd":326000,"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":"Computer Vision","optional":false},{"name":"Linux","optional":false},{"name":"Physical AI","optional":false},{"name":"RTOS","optional":false},{"name":"C++","optional":true},{"name":"ONNX","optional":true},{"name":"OpenGL","optional":true},{"name":"PyTorch","optional":true},{"name":"ROS","optional":true},{"name":"Sensor Fusion","optional":true},{"name":"TensorFlow","optional":true},{"name":"Vitis","optional":true}],"status":"live","first_seen_at":"2026-07-07T04:45:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-25T21:10:34Z","board_verified":true,"closed_at":null,"days_open":110,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":110},"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 TEAM\nOur Physical AI team is building the intelligent software that enables machines to perceive, understand, and interact with the physical world. By combining embedded computing, real-time software, computer vision, AI, adaptive SoCs, and high-performance edge platforms, we develop next-generation solutions powering robotics, industrial automation, autonomous systems, machine vision, automotive, and emerging AI-driven applications.\nWorking at the intersection of AI, embedded systems, and heterogeneous computing, our team transforms AMD technologies into intelligent, real-world solutions that accelerate the future of Physical AI.\nTHE ROLE\nWe are seeking a Senior Physical AI Software Engineer to develop next-generation software for intelligent edge systems that combine embedded computing, real-time processing, computer vision, and AI.\nIn this role, you will design, develop, and optimize software that enables machines to perceive, analyze, and respond to their environments with deterministic, low-latency performance. You will build software spanning embedded Linux and RTOS platforms while integrating AI inference, computer vision, sensor processing, and real-time control across AMD's embedded computing portfolio.\nWorking closely with software, AI, FPGA, silicon, and systems engineers, you will help deliver scalable Physical AI solutions for robotics, industrial automation, automotive, machine vision, aerospace, and other intelligent edge applications.\nThis position provides an opportunity to work across the complete software stack-from low-level platform software through AI-enabled applications-leveraging heterogeneous computing architectures including CPUs, GPUs, FPGAs, and dedicated AI accelerators.\nTHE PERSON\nYou are passionate about building software that bridges embedded systems, AI, and real-world intelligent machines. You thrive solving complex engineering challenges involving real-time processing, perception, and system optimization.\nYou enjoy working across multidisciplinary teams and are comfortable developing software that spans embedded Linux, RTOS, computer vision, AI inference, and heterogeneous computing architectures. You are driven by performance, scalability, and delivering robust software that powers next-generation intelligent systems.\nKEY RESPONSIBILITIES:\nDesign, develop, and maintain embedded software for AI-enabled edge computing platforms.\nDevelop software for Linux and Real-Time Operating Systems (RTOS) supporting deterministic, low-latency execution.\nDesign and implement real-time software for perception, sensor processing, control, and autonomous decision-making.\nDevelop and integrate computer vision, image processing, and AI inference applications for real-world deployment.\nBuild and optimize high-performance image, video, and sensor processing pipelines.\nOptimize software across heterogeneous computing architectures including CPUs, GPUs, FPGAs, and AI accelerators.\nCollaborate with AI, FPGA, hardware, systems, and platform teams to deliver integrated Physical AI solutions.\nSupport platform bring-up, debugging, validation, and system integration.\nAnalyze and optimize latency, throughput, memory utilization, power efficiency, and overall system performance.\nContribute to software architecture, technical documentation, coding standards, and engineering best practices.\nDevelop demonstrations, reference applications, and customer enablement solutions showcasing AMD embedded technologies.\nPREFERRED EXPERIENCE:\nExperience with RTOS platforms such as QNX, GreenHills, or similar real-time operating systems.\n\nExperience designing software for low-latency, safety-critical, or time-sensitive embedded applications.\n\nExperience with AMD Vitis™ AI or equivalent AI deployment frameworks.\n\nExperience with AMD Ryzen™ Embedded, EPYC™ Embedded, Versal™ AI Edge, Zynq UltraScale+, Kria™, or similar edge computing platforms.\n\nUnderstanding of FPGA-based acceleration and hardware/software co-design methodologies.\n\nExperience with AI inference deployment using ONNX, PyTorch, TensorFlow, or related frameworks.\n\nExperience with ROS 2 and robotics software architectures.\n\nUnderstanding of perception systems including cameras, radar, lidar, and sensor fusion technologies.\n\nFamiliarity with graphics and visualization technologies such as OpenGL, Vulkan, or Wayland.\n\nExperience with Linux kernel, BSP, device driver, or low-level platform software development.\n\nUnderstanding of heterogeneous computing architectures combining CPUs, GPUs, FPGAs, and dedicated AI accelerators.\n\nExperience with performance profiling, optimization, and benchmarking on multicore systems.\n\nKnowledge of networking, middleware, and distributed edge computing systems.\n\nExperience within robotics, automotive, industrial automation, aerospace, machine vision, or related embedded systems domains.\n\nLOCATION:\nAustin, TX\nNovi, MI\nSan Jose, CA\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 TEAM\nOur Physical AI team is building the intelligent software that enables machines to perceive, understand, and interact with the physical world. By combining embedded computing, real-time software, computer vision, AI, adaptive SoCs, and high-performance edge platforms, we develop next-generation solutions powering robotics, industrial automation, autonomous systems, machine vision, automotive, and emerging AI-driven applications.\nWorking at the intersection of AI, embedded systems, and heterogeneous computing, our team transforms AMD technologies into intelligent, real-world solutions that accelerate the future of Physical AI.\nTHE ROLE\nWe are seeking a Senior Physical AI Software Engineer to develop next-generation software for intelligent edge systems that combine embedded computing, real-time processing, computer vision, and AI.\nIn this role, you will design, develop, and optimize software that enables machines to perceive, analyze, and respond to their environments with deterministic, low-latency performance. You will build software spanning embedded Linux and RTOS platforms while integrating AI inference, computer vision, sensor processing, and real-time control across AMD's embedded computing portfolio.\nWorking closely with software, AI, FPGA, silicon, and systems engineers, you will help deliver scalable Physical AI solutions for robotics, industrial automation, automotive, machine vision, aerospace, and other intelligent edge applications.\nThis position provides an opportunity to work across the complete software stack-from low-level platform software through AI-enabled applications-leveraging heterogeneous computing architectures including CPUs, GPUs, FPGAs, and dedicated AI accelerators.\nTHE PERSON\nYou are passionate about building software that bridges embedded systems, AI, and real-world intelligent machines. You thrive solving complex engineering challenges involving real-time processing, perception, and system optimization.\nYou enjoy working across multidisciplinary teams and are comfortable developing software that spans embedded Linux, RTOS, computer vision, AI inference, and heterogeneous computing architectures. You are driven by performance, scalability, and delivering robust software that powers next-generation intelligent systems.\nKEY RESPONSIBILITIES:\nDesign, develop, and maintain embedded software for AI-enabled edge computing platforms.\nDevelop software for Linux and Real-Time Operating Systems (RTOS) supporting deterministic, low-latency execution.\nDesign and implement real-time software for perception, sensor processing, control, and autonomous decision-making.\nDevelop and integrate computer vision, image processing, and AI inference applications for real-world deployment.\nBuild and optimize high-performance image, video, and sensor processing pipelines.\nOptimize software across heterogeneous computing architectures including CPUs, GPUs, FPGAs, and AI accelerators.\nCollaborate with AI, FPGA, hardware, systems, and platform teams to deliver integrated Physical AI solutions.\nSupport platform bring-up, debugging, validation, and system integration.\nAnalyze and optimize latency, throughput, memory utilization, power efficiency, and overall system performance.\nContribute to software architecture, technical documentation, coding standards, and engineering best practices.\nDevelop demonstrations, reference applications, and customer enablement solutions showcasing AMD embedded technologies.\nPREFERRED EXPERIENCE:\nExperience with RTOS platforms such as QNX, GreenHills, or similar real-time operating systems.\n\nExperience designing software for low-latency, safety-critical, or time-sensitive embedded applications.\n\nExperience with AMD Vitis™ AI or equivalent AI deployment frameworks.\n\nExperience with AMD Ryzen™ Embedded, EPYC™ Embedded, Versal™ AI Edge, Zynq UltraScale+, Kria™, or similar edge computing platforms.\n\nUnderstanding of FPGA-based acceleration and hardware/software co-design methodologies.\n\nExperience with AI inference deployment using ONNX, PyTorch, TensorFlow, or related frameworks.\n\nExperience with ROS 2 and robotics software architectures.\n\nUnderstanding of perception systems including cameras, radar, lidar, and sensor fusion technologies.\n\nFamiliarity with graphics and visualization technologies such as OpenGL, Vulkan, or Wayland.\n\nExperience with Linux kernel, BSP, device driver, or low-level platform software development.\n\nUnderstanding of heterogeneous computing architectures combining CPUs, GPUs, FPGAs, and dedicated AI accelerators.\n\nExperience with performance profiling, optimization, and benchmarking on multicore systems.\n\nKnowledge of networking, middleware, and distributed edge computing systems.\n\nExperience within robotics, automotive, industrial automation, aerospace, machine vision, or related embedded systems domains.\n\nLOCATION:\nAustin, TX\nNovi, MI\nSan Jose, CA\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. 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