Post Doc Research Associate; Networking and Distributed Systems Lab

Post Doc Research Associate (Networking and Distributed Systems Lab)

This role has been designed as “Onsite” with an expectation that you will primarily work from an HPE office.

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next.

We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Hewlett Packard Enterprise advances the way people live and work. We bring together the brightest minds to create breakthrough technology solutions, helping our customers make their mark on the world. At HPE we believe in bold moves, the power of “Yes we can”, and being a force for good. Our work thrives on differences, fueling creativity to give our customers all they deserve.

But our work is far from over. In fact, we continuously push for better. We empower our team members to make an impact on our business and in the world while fostering a culture that is unconditionally inclusive. Whether you’re looking for an internship or to start your professional career, at HPE you’ll be able to create and collaborate on projects that challenge and inspire you.

Hewlett Packard Labs are committed to the fast and seamless transfer of advanced technologies into next generation products and solutions; enabling the delivery of advanced Hybrid IT and IoT solutions for our customers.

We are currently seeking highly qualified and self‑motivated PhD/MS students for Internship positions in the Networking and Distributed Systems Lab at Hewlett Packard Labs in Milpitas, CA. The successful candidate will join NDSL and contribute to various cutting‑edge areas:

• 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.
• High Performance Computing Fabrics
  : including HPE Slingshot and Ultra Ethernet technologies and aspects of congestion management, multipathing, in‑network telemetry and network collectives.
• 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 802.11/3
  
  GPP).
• AI/ML Development Frameworks and Programming tools
  :
  Familiarity with tool chains like PyTorch 2.0, Torch FX, JAX, Tensor Flow and CUDA programming.
• Compute Express…