Research Associate Intern (Networking and Distributed Systems Lab)

Hewlett Packard Enterprise

Dec 18, 2023

Applications are closed

Internship
Full-time
Off-cycle Internship
Software Engineering
San Francisco

Requirements

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.

Responsibilities

Cloud/Serverless computing: involving cloud management and monitoring, security, mobile cloud, scalability, and performance.
Cloud/Datacenter networks: including aspects of management, routing, scalability, and security.
AI and ML workload acceleration: exploring innovative ways to enhance AI and ML performance.
WiFi-Cellular Convergence: contributing to the seamless integration as well as advancement of WiFi (WiFi 6/7 and beyond) and private/public cellular (5G/B5G) technologies.
Edge-to-Cloud Infrastructure: shaping the future of edge and cloud interactions.
Sustainability and Carbon Emission Reduction: Exploring efficient data center management and scheduling techniques, as well as innovations to enhance power grid security, reducing carbon emissions.
Emerging disaggregated systems: enabling hardware and software supports for disaggregated systems including memory, storage, and accelerators.
Additionally, we value expertise in the following domains:
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.

Hewlett Packard Enterprise

Information Technology & Services

Technology

Industry

10,001+

Employees

1939

Founded Year

Mission & Purpose

HPE (Hewlett Packard Enterprise) is a global technology company that provides a comprehensive range of IT solutions and services. They offer hardware, software, and hybrid IT infrastructure solutions, including servers, storage systems, networking equipment, and cloud computing services. HPE's ultimate mission is to help their clients thrive in the digital age by providing transformative technology solutions that drive innovation, enhance productivity, and enable business growth. Their purpose is to empower organisations to harness the power of technology and data to solve complex challenges, optimise their IT infrastructure, and accelerate their digital transformation. HPE strives to be a trusted partner, delivering cutting-edge technology and expertise that enables their clients to adapt, innovate, and stay ahead in an ever-changing and competitive marketplace.