{"schemaVersion":"jobsearcher.job.v1","id":"a238808f1980b89cd1a8f127","url":"https://jobsearcher.com/jobs/a238808f1980b89cd1a8f127","canonicalUrl":"https://jobsearcher.com/jobs/a238808f1980b89cd1a8f127","title":"SimNow AI Development Engineer","description":"Overview\nOur mission at AMD is to build great products that accelerate next‑generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas and a shared passion to create something extraordinary.\n\nRole Summary\nJoin AMD’s SimNow AI team and help evolve how we build software simulation platforms with AI and large language models (LLMs). SimNow is a C++ simulator that supports validation of the software‑visible behavior of next‑generation AMD designs. In this role, you’ll collaborate with simulation engineers, AI practitioners and tooling experts to create intelligent agents that generate device models, automate workflows and improve developer experience.\n\nKey Responsibilities\n\nBuild AI‑assisted code generation agents that translate hardware specifications into C++ device models.\n\nDesign multi‑step agents that explore codebases, identify patterns, generate code, build, test and iterate safely.\n\nDevelop prompts, context‑assembly strategies, pattern libraries and validation approaches for reliable code generation.\n\nCreate dashboards, metrics and observability to understand AI utility, usage patterns and impact.\n\nExtend Python‑based test harnesses and build evaluation frameworks for code quality, correctness and specification alignment.\n\nHelp create internal copilots and assistants that support the SimNow developer community.\n\nWhat You’ll Accomplish\nFirst 3 months\n\nLearn the SimNow environment, tooling and development practices.\n\nContribute to prompt libraries and initial code‑generation experiments.\n\nShip improvements to existing Python test infrastructure.\n\n6 months\n\nOwn components of the agentic pipeline (e.g., pattern extraction, evaluation).\n\nDeliver measurable improvements to code‑generation quality or developer experience.\n\nBuild dashboards and metrics that illuminate AI effectiveness and safety.\n\n12 months and beyond\n\nShape next‑generation LLM‑powered simulation workflows.\n\nIntroduce automation that meaningfully accelerates model development and testing.\n\nContribute to best practices for AI‑assisted engineering across the organization.\n\nPerson Desired\nThe ideal candidate enjoys learning new systems, sharing knowledge and collaborating with teammates in a supportive environment. They approach debugging and problem‑solving systematically, communicate ideas clearly in both written and collaborative settings, and value building tools that help other developers work more effectively. They are open to feedback, appreciate diverse perspectives and adapt well as new information or challenges arise. Above all, they bring an interest in using AI responsibly to enhance real engineering workflows and are motivated by contributing to a team where learning and continuous improvement are core values.\n\nKey Experience\n\nUnderstanding of compiler fundamentals (preprocessing, compilation, linking), headers/includes, compilation units and interpreting compiler messages.\n\nProficiency with modern C++ (C++11/14/17): classes, basic templates, STL containers, and memory semantics.\n\nPython for scripting, test automation and basic data analysis.\n\nVersion control with Git.\n\nExperience in at least one of the following focus areas: AI/ML & LLMs (projects, coursework or internships involving code generation or prompt engineering); build systems and tooling (cmake, make or complex builds); or test automation (pytest, unittest or CI/CD).\n\nPreferred Experience\n\nLarge‑scale C++ application architecture.\n\nAdvanced prompt engineering and agentic system design.\n\nPre‑silicon validation workflows and SoC simulation.\n\nMLOps for code‑generation systems (telemetry, evaluation, continuous improvement).\n\nComputer architecture concepts; Verilog/SystemVerilog familiarity.\n\nAcademic Credentials\n\nDegree in Computer Science, Computer Engineering, Electrical Engineering or a related field (preferred).\n\nBenefits\nBenefits offered are described: AMD benefits at a glance.\n\nOther Information\nThis role is not eligible for visa sponsorship.\n\nThis posting is for an existing vacancy.\n\nEqual Opportunity Employer\nAMD 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.\n\nAI‑Enabled Recruitment\nAMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available.\n\n#J-18808-Ljbffr","company":"SupportFinity","rawCompany":"supportfinity","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-06-20T03:28:12.881Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"SimNow AI Development Engineer","description":"Overview\nOur mission at AMD is to build great products that accelerate next‑generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas and a shared passion to create something extraordinary.\n\nRole Summary\nJoin AMD’s SimNow AI team and help evolve how we build software simulation platforms with AI and large language models (LLMs). SimNow is a C++ simulator that supports validation of the software‑visible behavior of next‑generation AMD designs. In this role, you’ll collaborate with simulation engineers, AI practitioners and tooling experts to create intelligent agents that generate device models, automate workflows and improve developer experience.\n\nKey Responsibilities\n\nBuild AI‑assisted code generation agents that translate hardware specifications into C++ device models.\n\nDesign multi‑step agents that explore codebases, identify patterns, generate code, build, test and iterate safely.\n\nDevelop prompts, context‑assembly strategies, pattern libraries and validation approaches for reliable code generation.\n\nCreate dashboards, metrics and observability to understand AI utility, usage patterns and impact.\n\nExtend Python‑based test harnesses and build evaluation frameworks for code quality, correctness and specification alignment.\n\nHelp create internal copilots and assistants that support the SimNow developer community.\n\nWhat You’ll Accomplish\nFirst 3 months\n\nLearn the SimNow environment, tooling and development practices.\n\nContribute to prompt libraries and initial code‑generation experiments.\n\nShip improvements to existing Python test infrastructure.\n\n6 months\n\nOwn components of the agentic pipeline (e.g., pattern extraction, evaluation).\n\nDeliver measurable improvements to code‑generation quality or developer experience.\n\nBuild dashboards and metrics that illuminate AI effectiveness and safety.\n\n12 months and beyond\n\nShape next‑generation LLM‑powered simulation workflows.\n\nIntroduce automation that meaningfully accelerates model development and testing.\n\nContribute to best practices for AI‑assisted engineering across the organization.\n\nPerson Desired\nThe ideal candidate enjoys learning new systems, sharing knowledge and collaborating with teammates in a supportive environment. They approach debugging and problem‑solving systematically, communicate ideas clearly in both written and collaborative settings, and value building tools that help other developers work more effectively. They are open to feedback, appreciate diverse perspectives and adapt well as new information or challenges arise. Above all, they bring an interest in using AI responsibly to enhance real engineering workflows and are motivated by contributing to a team where learning and continuous improvement are core values.\n\nKey Experience\n\nUnderstanding of compiler fundamentals (preprocessing, compilation, linking), headers/includes, compilation units and interpreting compiler messages.\n\nProficiency with modern C++ (C++11/14/17): classes, basic templates, STL containers, and memory semantics.\n\nPython for scripting, test automation and basic data analysis.\n\nVersion control with Git.\n\nExperience in at least one of the following focus areas: AI/ML & LLMs (projects, coursework or internships involving code generation or prompt engineering); build systems and tooling (cmake, make or complex builds); or test automation (pytest, unittest or CI/CD).\n\nPreferred Experience\n\nLarge‑scale C++ application architecture.\n\nAdvanced prompt engineering and agentic system design.\n\nPre‑silicon validation workflows and SoC simulation.\n\nMLOps for code‑generation systems (telemetry, evaluation, continuous improvement).\n\nComputer architecture concepts; Verilog/SystemVerilog familiarity.\n\nAcademic Credentials\n\nDegree in Computer Science, Computer Engineering, Electrical Engineering or a related field (preferred).\n\nBenefits\nBenefits offered are described: AMD benefits at a glance.\n\nOther Information\nThis role is not eligible for visa sponsorship.\n\nThis posting is for an existing vacancy.\n\nEqual Opportunity Employer\nAMD 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.\n\nAI‑Enabled Recruitment\nAMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available.\n\n#J-18808-Ljbffr","datePosted":"2026-06-20T03:28:12.881Z","dateModified":"2026-06-20T03:28:12.881Z","hiringOrganization":{"@type":"Organization","name":"SupportFinity","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a238808f1980b89cd1a8f127"},"url":"https://jobsearcher.com/jobs/a238808f1980b89cd1a8f127"}}