[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All IBM jobs](https://jobs.opennash.com/companies/ibm/) · [Search jobs](/search/) IBM · Yorktown Heights, NY # AI Native Systems Research Scientist Intern 2027 Yorktown Heights, NY Early career Research & Science Listed on IBM’s official careers site. Posted September 11, 2026. Check that it is still open and apply there. [Apply on IBM’s careers site →](https://ibm.dejobs.org/jobs/CBC6AB62A9DB44CBA70E0CD6DB7926E5/) [OpenNash Jobs](https://jobs.opennash.com/) / [IBM](https://jobs.opennash.com/companies/ibm/) / AI Native Systems Research Scientist Intern 2027 ## Job description ### Introduction At IBM Research, we are the innovation engine of IBM. Exploring what’s next in computing and shaping the technologies the world will rely on tomorrow. From advancing AI and hybrid cloud to pioneering practical quantum computing, we anticipate challenges and unlock new opportunities for clients, partners, and society. Working in Research means joining a team that accelerates discovery at the intersection of high-performance computing, AI, quantum, and cloud. You’ll collaborate with leading scientists, engineers, and visionaries to push boundaries and turn ideas into reality. With a culture built on curiosity, creativity, and collaboration, IBM Research offers the opportunity to grow your career while contributing to breakthroughs that transform industries and change the world. ### Your role and responsibilities Join a team conducting cutting-edge research in AI Native Distributed Systems. In this role, you will explore and advance one or more of many aspects of AI-native distributed computing we are currently working on, including: design, development, and optimization of software platforms for building, deploying, and managing large language models (LLMs) and agents; principles, methodologies, and frameworks for AI-native software development, evolution, and optimization; high-performance distributed inference for LLMs; frameworks, tools, and infrastructure that support the end-to-end AI lifecycle; networking for AI infrastructure, developing/prototyping networking solutions and techniques for future AI systems, including networking for distributed inference and RDMA over Ethernet networking, as well as evaluation of the solutions from performance, scalability, and resiliency perspectives; networking innovations that enable high-performance communication for AI workloads and emerging distributed inference patterns. The ideal candidate has a strong foundation in AI, large language models, and agentic workloads, combined with expertise in systems, networking, or software engineering. As an intern, you will contribute across the full industrial research lifecycle: formulating novel ideas, designing and building prototype systems, evaluating performance at scale, demonstrating real-world impact, and publishing results in leading scientific venues. Required technical and professional expertise - Currently pursuing a degree in Computer Science, Engineering, or related field (MS/PhD), with a focus on artificial intelligence, systems, networking, or software development. - Background in artificial intelligence and machine learning, including areas such as deep learning, LLMs, distributed LLM inference, or agentic patterns - Strong background in software development, including proficiency in languages such as Python, Go, C++, or Rust - Experience with containerization using Docker, Kubernetes, or other container orchestration tools. Preferred technical and professional experience - Understanding of LLM technology, distributed inference, llm-d/vLLM - Designing and implementing distributed systems - Experience in cloud/data Center networking, Software-Defined Networking (SDN), network virtualization, or Linux networking - Research and development experience in AI platforms, including the design, implementation, and optimization of AI frameworks and tools IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. ## At a glance - Posted by the employer: Sep 11, 2026 - First seen by OpenNash: Oct 19, 2026 - Last checked: Oct 19, 2026 - Listed for: 38 days - Location: Yorktown Heights, NY[Apply on IBM’s careers site →](https://ibm.dejobs.org/jobs/CBC6AB62A9DB44CBA70E0CD6DB7926E5/) ## More jobs at IBM ### [AI Security Researcher](https://jobs.opennash.com/companies/ibm/jobs/1fda5c265b26e2b5e820/) Yorktown Heights, NY ### [AI-Native Security Research Intern 2027](https://jobs.opennash.com/companies/ibm/jobs/c2ef976e1887cfd67651/) Yorktown Heights, NY ### [Associate Quantum Hardware Assembly R&D Engineer](https://jobs.opennash.com/companies/ibm/jobs/2a1bca1812c7fd5e36d4/) Yorktown Heights, NY ### [Quantum Hardware Modeling - Research Scientist](https://jobs.opennash.com/companies/ibm/jobs/0a1181e28a5c90855bb6/) Yorktown Heights, NY ### [Quantum Hardware Staff Research Scientist](https://jobs.opennash.com/companies/ibm/jobs/76ee3cb43744349b3667/) Yorktown Heights, NY ## Similar jobs at other companies ### [Research Scientist – Power Systems](https://jobs.opennash.com/companies/hitachi/jobs/7e9f5c6f86377e366bf2/) Hitachi · Raleigh, NC, United States ### [Research Scientist 2](https://jobs.opennash.com/companies/humana/jobs/ec75b9eedca849c2c7ce/) Humana · Remote, Nationwide ### [Senior Research Scientist - Bioanalytical LCMS Research and Development](https://jobs.opennash.com/companies/thermo-fisher-scientific/jobs/e9e321eedbccee5ebefa/) Thermo Fisher Scientific · Richmond, Virginia, United States of America ### [Research Scientist - E2](https://jobs.opennash.com/companies/lockheed-martin/jobs/428dcbbf358b2086a059/) Lockheed Martin · Louisville, CO ### [Data Scientist, Operations Research](https://jobs.opennash.com/companies/cardinal-health/jobs/ce82441f816d003d13aa/) Cardinal Health · International [Research & Science jobs](/functions/research-science/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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