{"schemaVersion":"jobsearcher.job.v1","id":"f83b7d8016962e5ba4a348e4","url":"https://jobsearcher.com/jobs/f83b7d8016962e5ba4a348e4","canonicalUrl":"https://jobsearcher.com/jobs/f83b7d8016962e5ba4a348e4","title":"GPU Software Engineer (Remote)","description":"Role: GPU Software Engineer (Remote)Location: Remote (Work from Anywhere)Job Type: ContractPayout: $60 - $85/hourRole Overview:We are hiring for one of our clients, seeking a GPU Programming Software Engineer to work on a contract basis. The role involves developing high-performance computing solutions leveraging GPU architectures for computational workloads. You will optimize parallel processing frameworks and implement GPU-accelerated algorithms for large-scale data processing.Key Responsibilities:• Design and implement GPU-optimized software solutions for high-performance computing applications• Develop and maintain CUDA/OpenCL-based kernels and libraries for parallel computation• Profile and optimize existing codebases to improve GPU utilization and reduce latency• Collaborate with cross-functional teams to integrate GPU acceleration into existing workflows• Write unit tests and benchmarks to validate performance improvements and correctnessRequired Skills & Qualifications:• Proficiency in CUDA programming and GPU architecture optimization• Experience with OpenCL, HIP, or other GPU computing frameworks• Strong C/C++ programming skills with a focus on performance tuning• Familiarity with parallel algorithms and data structures• Knowledge of numerical computing libraries like cuBLAS, cuFFT, or ThrustMore About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of scalable GPU solutions for industry-specific computational challenges. The position requires independent problem-solving and the ability to deliver high-performance code in a fast-paced environment.Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.Apply Now!","company":"AI","rawCompany":"ai","isRemote":true,"isActive":false,"createdAt":"2026-07-31T11:11:35.097Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"GPU Software Engineer (Remote)","description":"Role: GPU Software Engineer (Remote)Location: Remote (Work from Anywhere)Job Type: ContractPayout: $60 - $85/hourRole Overview:We are hiring for one of our clients, seeking a GPU Programming Software Engineer to work on a contract basis. The role involves developing high-performance computing solutions leveraging GPU architectures for computational workloads. You will optimize parallel processing frameworks and implement GPU-accelerated algorithms for large-scale data processing.Key Responsibilities:• Design and implement GPU-optimized software solutions for high-performance computing applications• Develop and maintain CUDA/OpenCL-based kernels and libraries for parallel computation• Profile and optimize existing codebases to improve GPU utilization and reduce latency• Collaborate with cross-functional teams to integrate GPU acceleration into existing workflows• Write unit tests and benchmarks to validate performance improvements and correctnessRequired Skills & Qualifications:• Proficiency in CUDA programming and GPU architecture optimization• Experience with OpenCL, HIP, or other GPU computing frameworks• Strong C/C++ programming skills with a focus on performance tuning• Familiarity with parallel algorithms and data structures• Knowledge of numerical computing libraries like cuBLAS, cuFFT, or ThrustMore About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of scalable GPU solutions for industry-specific computational challenges. The position requires independent problem-solving and the ability to deliver high-performance code in a fast-paced environment.Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.Apply Now!","datePosted":"2026-07-31T11:11:35.097Z","dateModified":"2026-07-31T11:11:35.097Z","hiringOrganization":{"@type":"Organization","name":"AI","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f83b7d8016962e5ba4a348e4"},"url":"https://jobsearcher.com/jobs/f83b7d8016962e5ba4a348e4"}}