[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Search jobs](/search/) Meta Platforms · New York, NY # Software Engineer, Systems Machine Learning New York, NY Software Engineering Listed on Meta Platforms’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there. [Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1791619365408270/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / Software Engineer, Systems Machine Learning ## Job description Meta is seeking a Software Engineer to join the MTIA (Meta Training & Inference Accelerator) Software Tooling team, which develops and maintains the tooling ecosystem for Meta's in-house AI accelerator ASICs. The Tooling team provides debugging, profiling, memory analysis, and monitoring capabilities for the whole MTIA Ecosystem, redefining ML accelerator tooling by leveraging Meta's full-stack ownership from silicon specs to fleet observability. In this role, you will design, build, and maintain developer tools that help engineers debug, profile, measure, and monitor AI workloads running on MTIA hardware at scale. You will work at the intersection of compilers, runtime, hardware, and ML frameworks, collaborating with cross-functional partners to deliver a high-quality developer experience for Meta's custom AI accelerators. ## Responsibilities - Design and develop software tools across the MTIA tooling ecosystem, including debugging, profiling, performance analysis, memory analysis, and monitoring infrastructure - Own features and components end-to-end, from design through implementation, testing, and deployment - Build and improve tooling infrastructure that enables engineers to efficiently develop, test, and optimize AI workloads on MTIA hardware - Collaborate with the MTIA compiler, runtime, kernel, and hardware teams to integrate tooling hooks and support new platform capabilities Proactively identify gaps in the tooling ecosystem and propose solutions to improve developer productivity - Contribute to technical design discussions, write design documents for medium-scope projects, and participate in code reviews - Partner with internal product teams across advertising, recommendations, and generative AI to understand developer pain points and improve tool usability ## Qualifications Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience - 2+ years of experience in software engineering, with exposure to systems software, developer tooling, or infrastructure - Proficiency in C++ and Python, including systems-level programming concepts Experience working across multiple layers of a system stack (e.g., application, runtime, OS/driver, or hardware interfaces) - Track record of independently delivering software projects from design through production deployment Experience debugging and resolving issues in complex software systems (e.g., using log analysis, stack traces, or system-level diagnostic tools) Exposure to accelerator ecosystems (GPU/CUDA, TPU, custom ASICs) or heterogeneous computing environments - Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience building developer tools such as debuggers, profilers, build systems, CLI tools, monitoring dashboards, or diagnostic utilities Contributions to open-source projects demonstrating tooling or system software interest Experience in using data-driven methods to evaluate tooling effectiveness and to prioritize improvements - Familiarity with Linux debugging and profiling tools (gdb, perf, strace, eBPF, valgrind) or similar diagnostic infrastructure Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) - Familiarity with ML frameworks (PyTorch, TensorFlow) or compiler infrastructure (LLVM, MLIR, TVM) Experience with distributed systems debugging, profiling, or monitoring at scale - Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 7 days - Location: New York, NY[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1791619365408270/) ## More jobs at Meta Platforms ### [Consumer Product Marketing Manager](https://jobs.opennash.com/companies/meta-platforms/jobs/39f3631f370708d6854a/) New York, NY ### [Data Center Site Selection Manager](https://jobs.opennash.com/companies/meta-platforms/jobs/f8f69a93a9f5b6b25c19/) New York, NY ### [Enterprise Application Security Engineer (Builder)](https://jobs.opennash.com/companies/meta-platforms/jobs/6656bf868eeecde787a6/) New York, NY ### [Global Programs Lead, Business Program Management](https://jobs.opennash.com/companies/meta-platforms/jobs/9801f0a98ea553946ba9/) New York, NY ### [Global Solutions Partner](https://jobs.opennash.com/companies/meta-platforms/jobs/0234a8c6f2030dc96580/) New York, NY ## Similar jobs at other companies ### [Machine Learning Systems Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/6cdc44a659f6af5f2f2b/) Qualcomm · Santa Clara, California, United States of America ### [Software Development Engineer (Machine Learning)](https://jobs.opennash.com/companies/fortinet/jobs/b767b5cf9b10bdd48539/) Fortinet · Sunnyvale, CA, United States ### [Lead Software Engineer - Machine Learning](https://jobs.opennash.com/companies/jpmorganchase/jobs/815edc9fa3516a660061/) JPMorganChase · Palo Alto, CA, United States ### [Senior Machine Learning Software Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/1bc927a217a6f7d43f7e/) Qualcomm · Boulder, Colorado, United States of America ### [Senior Lead Software Engineer - Machine Learning I/O](https://jobs.opennash.com/companies/jpmorganchase/jobs/04c22d4088a962c9fe32/) JPMorganChase · Plano, TX, United States OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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