Research Associate Intern at Hewlett… · Milpitas

Summary: Hewlett Packard Enterprise is a global edge-to-cloud company that advances the way people live and work. They are seeking highly qualified and self-motivated PhD/MS students for Internship positions in the Networking and Distributed Systems Lab, where candidates will contribute to cutting-edge areas such as cloud computing, AI/ML workload acceleration, and edge-to-cloud infrastructure. Responsibilities: - Contribute to various cutting-edge areas in Networking and Distributed Systems Lab - Explore innovative ways to enhance AI and ML performance - Shape the future of edge and cloud interactions - Explore efficient data center management and scheduling techniques Required Qualifications: - Must be pursuing Ph.D./MS (or equivalent post-graduate degree) in Computer Science, Electrical Engineering, or relevant studies - Strong research, analytical, and system-building skills are required; published articles are a definite plus - Experience with implementation and system building, particularly in the areas of AI operations, cloud, and distributed systems - Proficiency in making impactful presentations to key stakeholders, both verbal and written - Ability to work independently and collaboratively within teams Preferred Qualifications: - Network programmability: proficiency in developing programmable networks, application offloading, and RDMA - SmartNICs: experience with Smart Network Interface Cards, leveraging their capabilities for improved network performance and management - Containerized platforms: familiarity with containerized platforms, enabling efficient deployment, scheduling, and management of applications - GPU virtualization techniques: knowledge of techniques that optimize GPU usage through virtualization (e.g., MPS, MIG) - Wireless Communication/Sensing: Knowledge of wireless communication protocols (WiFi/cellular), wireless sensing techniques (FTM/ToF/CSI), and/or wireless standards (IEEE 802.11/3GPP) - AI/ML Development Frameworks and Programming tools: Familiarity with tool chains like PyTorch 2.0, Torch FX, JAX, TensorFlow and CUDA programming - Compute Express Link (CXL) and storage systems: experience with CXL and storage systems such as NVMe, Container Attached Storage (CAS), File systems, Object storage, Key-value storage Required Skills: Cloud Computing, Networking, AI/ML Development, High Performance Computing Important Skills: SmartNICs, Containerized Platforms, GPU Virtualization, Wireless Communication, Network Programmability Nice-to-Have Skills: Analytical Skills, Presentation Skills, Team Collaboration Benefits: A competitive salary and extensive social benefits, Diverse and dynamic work environment, Work-life balance and support for career development, Health & Wellbeing, Personal & Professional Development, Unconditional Inclusion