{"schemaVersion":"jobsearcher.job.v1","id":"27282beb422a8a66f5db1509","url":"https://jobsearcher.com/jobs/27282beb422a8a66f5db1509","canonicalUrl":"https://jobsearcher.com/jobs/27282beb422a8a66f5db1509","title":"Software Engineer – Linux Infrastructure and Distributed Computing","description":"Overview\nIn this role you will contribute to scalable software that powers Surfscan wafer inspection and metrology tools. You will work within the Surfscan team to design and optimize data-intensive, high-performance applications that support wafer quality assessment. You will collaborate with cross-functional teams to address production challenges and improve tool reliability and throughput. This is an opportunity to shape products used in advanced semiconductor fabrication and impact yield and efficiency.\n\nCompensation / Benefitsmedical, dental, vision, life401(K) with company matchingemployee stock purchase program (ESPP)tuition reimbursementpaid time offpaid holidays\nResponsibilitiesDesign and develop scalable distributed systems and large-scale data processing applicationsAnalyze and optimize performance of high-performance softwareWork with Kubernetes, Docker, and cloud-native technologies for containerized deploymentsLeverage HPC, parallel computing, RDMA, and high-speed networkingDevelop GPU-accelerated workloads using CUDA and optimize AI/ML-enabled toolingSupport mission-critical production software and resolve complex customer-driven issues\nKey requirementsBachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field2-5 years of professional software development experienceStrong C++ OO programming, data structures, and algorithmsExperience on Linux-based operating systemsSDLC experience: design, implementation, testing, debuggingMultithreaded programming, synchronization, and concurrencyNetworking fundamentals (TCP/IP, client-server)Experience with source control and build tools in collaborative environmentStrong analytical, problem-solving, and debugging skillsExcellent verbal and written communication skillsexcellent verbal and written communicationproblem-solving mindsetability to work in a collaborative engineering environmentdistributed systemsC++Linux","company":"Klatencor","rawCompany":"klatencor","city":"San Jose","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-09-15T03:47:14.259Z","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":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer – Linux Infrastructure and Distributed Computing","description":"Overview\nIn this role you will contribute to scalable software that powers Surfscan wafer inspection and metrology tools. You will work within the Surfscan team to design and optimize data-intensive, high-performance applications that support wafer quality assessment. You will collaborate with cross-functional teams to address production challenges and improve tool reliability and throughput. This is an opportunity to shape products used in advanced semiconductor fabrication and impact yield and efficiency.\n\nCompensation / Benefitsmedical, dental, vision, life401(K) with company matchingemployee stock purchase program (ESPP)tuition reimbursementpaid time offpaid holidays\nResponsibilitiesDesign and develop scalable distributed systems and large-scale data processing applicationsAnalyze and optimize performance of high-performance softwareWork with Kubernetes, Docker, and cloud-native technologies for containerized deploymentsLeverage HPC, parallel computing, RDMA, and high-speed networkingDevelop GPU-accelerated workloads using CUDA and optimize AI/ML-enabled toolingSupport mission-critical production software and resolve complex customer-driven issues\nKey requirementsBachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field2-5 years of professional software development experienceStrong C++ OO programming, data structures, and algorithmsExperience on Linux-based operating systemsSDLC experience: design, implementation, testing, debuggingMultithreaded programming, synchronization, and concurrencyNetworking fundamentals (TCP/IP, client-server)Experience with source control and build tools in collaborative environmentStrong analytical, problem-solving, and debugging skillsExcellent verbal and written communication skillsexcellent verbal and written communicationproblem-solving mindsetability to work in a collaborative engineering environmentdistributed systemsC++Linux","datePosted":"2026-09-15T03:47:14.259Z","dateModified":"2026-09-15T03:47:14.259Z","hiringOrganization":{"@type":"Organization","name":"Klatencor","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"27282beb422a8a66f5db1509"},"url":"https://jobsearcher.com/jobs/27282beb422a8a66f5db1509"}}