{"schemaVersion":"jobsearcher.job.v1","id":"e5f02f8608bf23e14334af72","url":"https://jobsearcher.com/jobs/e5f02f8608bf23e14334af72","canonicalUrl":"https://jobsearcher.com/jobs/e5f02f8608bf23e14334af72","title":"Software Engineer","description":"We are seeking an experienced Lead Software Engineer specializing in Simulation Foundation Platforms, GPU Computing, and Agentic AI. The ideal candidate will have strong expertise in CUDA, C++, Python, and NVIDIA GPU architecture, with hands-on experience optimizing high-performance simulation workloads.\r\nThe candidate will lead performance optimization initiatives across NVIDIA Omniverse, Isaac Sim, and distributed multi-GPU environments. This role involves developing agentic AI systems for automated code optimization, improving simulation performance, and scaling compute-intensive workloads across GPU infrastructure.\r\nKey Responsibilities:Analyze and optimize workloads across CPU, GPU, memory, I/O, storage, and networking using NVIDIA Nsight tools.\r\nRefactor and optimize simulation codebases using CUDA, C++, and Python to improve hardware utilization and execution performance.\r\nDesign and implement agentic AI systems for automated code analysis and runtime performance optimization.\r\nOptimize and scale simulation workloads using NVIDIA Omniverse and Isaac Sim across multi-GPU and distributed computing environments.\r\nManage and optimize containerized GPU workloads using Docker, Kubernetes, and Slurm.\r\nWork with GPU cloud infrastructure, including CoreWeave, AWS, and Azure.\r\nDevelop automated regression testing, observability, and performance benchmarking solutions.\r\nCollaborate with robotics, perception, and AI engineering teams to improve simulation performance and scalability.\r\nBachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.\r\nMinimum 7+ years of relevant software engineering experience.\r\nStrong programming proficiency in C++ and Python.\r\nDeep expertise in CUDA programming, GPU performance optimization, and NVIDIA GPU architecture.\r\nStrong experience with Agentic AI and autonomous agents for automated code and runtime optimization.\r\nHands-on experience with NVIDIA Omniverse, Isaac Sim, or equivalent simulation engines.\r\nPractical experience with NVIDIA Nsight tools, including Nsight Systems, Nsight Compute, and Nsight Graphics.\r\nStrong understanding of multi-GPU systems, parallel processing, and distributed computing.\r\nExperience with Linux, Docker, Kubernetes, and Slurm.\r\nProven ability to benchmark, debug, and optimize compute-intensive workloads.\r\nExperience optimizing RTX and real-time rendering workloads.\r\nBackground in robotics, autonomous systems, digital twins, or simulation platforms.\r\nKnowledge of High-Performance Computing (HPC) environments and large-scale GPU clusters.\r\nExperience with CI/CD pipelines and automated performance benchmarking frameworks.\r\nFamiliarity with machine learning infrastructure, AI training, and synthetic data generation.\r\nTechnical Environment:CUDA, C++, Python, Agentic AI, NVIDIA Omniverse, NVIDIA Isaac Sim, NVIDIA Nsight, GPU Computing, Docker, Kubernetes, Slurm, Linux, CoreWeave, AWS, and Azure.\r\nWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.#J-18808-Ljbffr","company":"Machine Learning Technologies","rawCompany":"machine learning technologies","city":"Irving","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-11-06T01:43:27.575Z","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":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer","description":"We are seeking an experienced Lead Software Engineer specializing in Simulation Foundation Platforms, GPU Computing, and Agentic AI. The ideal candidate will have strong expertise in CUDA, C++, Python, and NVIDIA GPU architecture, with hands-on experience optimizing high-performance simulation workloads.\r\nThe candidate will lead performance optimization initiatives across NVIDIA Omniverse, Isaac Sim, and distributed multi-GPU environments. This role involves developing agentic AI systems for automated code optimization, improving simulation performance, and scaling compute-intensive workloads across GPU infrastructure.\r\nKey Responsibilities:Analyze and optimize workloads across CPU, GPU, memory, I/O, storage, and networking using NVIDIA Nsight tools.\r\nRefactor and optimize simulation codebases using CUDA, C++, and Python to improve hardware utilization and execution performance.\r\nDesign and implement agentic AI systems for automated code analysis and runtime performance optimization.\r\nOptimize and scale simulation workloads using NVIDIA Omniverse and Isaac Sim across multi-GPU and distributed computing environments.\r\nManage and optimize containerized GPU workloads using Docker, Kubernetes, and Slurm.\r\nWork with GPU cloud infrastructure, including CoreWeave, AWS, and Azure.\r\nDevelop automated regression testing, observability, and performance benchmarking solutions.\r\nCollaborate with robotics, perception, and AI engineering teams to improve simulation performance and scalability.\r\nBachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.\r\nMinimum 7+ years of relevant software engineering experience.\r\nStrong programming proficiency in C++ and Python.\r\nDeep expertise in CUDA programming, GPU performance optimization, and NVIDIA GPU architecture.\r\nStrong experience with Agentic AI and autonomous agents for automated code and runtime optimization.\r\nHands-on experience with NVIDIA Omniverse, Isaac Sim, or equivalent simulation engines.\r\nPractical experience with NVIDIA Nsight tools, including Nsight Systems, Nsight Compute, and Nsight Graphics.\r\nStrong understanding of multi-GPU systems, parallel processing, and distributed computing.\r\nExperience with Linux, Docker, Kubernetes, and Slurm.\r\nProven ability to benchmark, debug, and optimize compute-intensive workloads.\r\nExperience optimizing RTX and real-time rendering workloads.\r\nBackground in robotics, autonomous systems, digital twins, or simulation platforms.\r\nKnowledge of High-Performance Computing (HPC) environments and large-scale GPU clusters.\r\nExperience with CI/CD pipelines and automated performance benchmarking frameworks.\r\nFamiliarity with machine learning infrastructure, AI training, and synthetic data generation.\r\nTechnical Environment:CUDA, C++, Python, Agentic AI, NVIDIA Omniverse, NVIDIA Isaac Sim, NVIDIA Nsight, GPU Computing, Docker, Kubernetes, Slurm, Linux, CoreWeave, AWS, and Azure.\r\nWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.#J-18808-Ljbffr","datePosted":"2026-11-06T01:43:27.575Z","dateModified":"2026-11-06T01:43:27.575Z","hiringOrganization":{"@type":"Organization","name":"Machine Learning Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irving","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e5f02f8608bf23e14334af72"},"url":"https://jobsearcher.com/jobs/e5f02f8608bf23e14334af72"}}