{"schemaVersion":"jobsearcher.job.v1","id":"680ad7e536f2c48be5e7a636","url":"https://jobsearcher.com/jobs/680ad7e536f2c48be5e7a636","canonicalUrl":"https://jobsearcher.com/jobs/680ad7e536f2c48be5e7a636","title":"System Software Engineer","description":"At Chicago UpDown, we are building breakthrough graph computing acceleration - software and hardware. With 1000x performance of today's cloud-based approaches, UpDown enables instant real-time mapping and analytics of trillion-node graphs. The core technologies were created as part of IARPA's AGILE program, and spun out from the University of Chicago and Purdue University.We are looking for a talented System Software engineer, experienced with Linux and HPC, and capable with advanced AI tools to lead the design and enhancement of system software for a sophisticated, scalable global memory management and scale-out parallel cluster system (>10,000 nodes).We are seeking a talented System Software Engineer to design, build, and optimize the memory and system software stack for our scalable, accelerator-based global memory system, UpDown.Challenges include accelerator global memory (petabytes of unified virtual memory) and resource management in large-scale parallel systems (cloud and HPC-like). The technical challenges exceed the largest cloud andHPC systems today.Key Responsibilities\r\nLead the design and implementation of a petabyte-scale unified virtual memory system to leverage novel hardware translation features and capabilities.Global Memory and system library: System and application allocators & runtimes, including custom memory allocators and system-level runtime infrastructure to maximize throughput.Task/Job Scheduling & Orchestration: Integrate and optimize HPC workload managers and job scheduling systems (such as Slurm, PBS, or custom schedulers) to efficiently allocate resources and orchestrate massively parallel jobs.Kernel and Driver Engineering: Linux kernel and driver work to support and optimize the memory management and device driver subsystem, develop custom modules, and eliminate kernel-space bottlenecks.Minimum Qualifications\r\nEducation: Master’s or Ph.D. in CS, CE, or related field.Systems Programming Experience: 3+ years of hands-on experience writing production-grade, low-level code in C and C++ and/or Linux kernel programming.Virtual and Memory Management Knowledge: Deep understanding of OS-level memory management, virtual memory, paging, and custom memory allocators.Parallel Computing or HPC Experience: 3+ years in HPC/Cloud scalable systems software, writing/modifying software for HPC, supercomputer, and accelerator environments.Preferred Qualifications\r\n5+ years hands-on experience developing or modifying OS kernels (Linux), hypervisors, or low-level runtime libraries.Strong understanding of the challenges associated with memory management in multi-tenant, globally distributed cloud infrastructure.Advanced Interconnects: Demonstrated experience working with high-performance network and memory fabrics, such as RDMA (RoCE, InfiniBand), CXL, and NVLink.Experience with graph workloads and algorithms (\"e.g., Graph500 BFS\") on modern hardware.#J-18808-Ljbffr","company":"Chupdown","rawCompany":"chupdown","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-11-04T02:23:33.432Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"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":"System Software Engineer","description":"At Chicago UpDown, we are building breakthrough graph computing acceleration - software and hardware. With 1000x performance of today's cloud-based approaches, UpDown enables instant real-time mapping and analytics of trillion-node graphs. The core technologies were created as part of IARPA's AGILE program, and spun out from the University of Chicago and Purdue University.We are looking for a talented System Software engineer, experienced with Linux and HPC, and capable with advanced AI tools to lead the design and enhancement of system software for a sophisticated, scalable global memory management and scale-out parallel cluster system (>10,000 nodes).We are seeking a talented System Software Engineer to design, build, and optimize the memory and system software stack for our scalable, accelerator-based global memory system, UpDown.Challenges include accelerator global memory (petabytes of unified virtual memory) and resource management in large-scale parallel systems (cloud and HPC-like). The technical challenges exceed the largest cloud andHPC systems today.Key Responsibilities\r\nLead the design and implementation of a petabyte-scale unified virtual memory system to leverage novel hardware translation features and capabilities.Global Memory and system library: System and application allocators & runtimes, including custom memory allocators and system-level runtime infrastructure to maximize throughput.Task/Job Scheduling & Orchestration: Integrate and optimize HPC workload managers and job scheduling systems (such as Slurm, PBS, or custom schedulers) to efficiently allocate resources and orchestrate massively parallel jobs.Kernel and Driver Engineering: Linux kernel and driver work to support and optimize the memory management and device driver subsystem, develop custom modules, and eliminate kernel-space bottlenecks.Minimum Qualifications\r\nEducation: Master’s or Ph.D. in CS, CE, or related field.Systems Programming Experience: 3+ years of hands-on experience writing production-grade, low-level code in C and C++ and/or Linux kernel programming.Virtual and Memory Management Knowledge: Deep understanding of OS-level memory management, virtual memory, paging, and custom memory allocators.Parallel Computing or HPC Experience: 3+ years in HPC/Cloud scalable systems software, writing/modifying software for HPC, supercomputer, and accelerator environments.Preferred Qualifications\r\n5+ years hands-on experience developing or modifying OS kernels (Linux), hypervisors, or low-level runtime libraries.Strong understanding of the challenges associated with memory management in multi-tenant, globally distributed cloud infrastructure.Advanced Interconnects: Demonstrated experience working with high-performance network and memory fabrics, such as RDMA (RoCE, InfiniBand), CXL, and NVLink.Experience with graph workloads and algorithms (\"e.g., Graph500 BFS\") on modern hardware.#J-18808-Ljbffr","datePosted":"2026-11-04T02:23:33.432Z","dateModified":"2026-11-04T02:23:33.432Z","hiringOrganization":{"@type":"Organization","name":"Chupdown","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"680ad7e536f2c48be5e7a636"},"url":"https://jobsearcher.com/jobs/680ad7e536f2c48be5e7a636"}}