Hewlett Packard Enterprise · 1 month ago
Post Doc Research Associate (Networking and Distributed Systems Lab)
Milpitas, California, United States of America
Full-time
Onsite
New Grad, Entry Level
$47.75/hr - $72/hrHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. They are currently seeking highly qualified and self-motivated PhD/MS students for Internship positions in the Networking and Distributed Systems Lab, where the successful candidate will contribute to various cutting-edge areas in networking and distributed systems.
Data CenterEnterprise SoftwareInformation TechnologyIT ManagementNetwork Security
Responsibilities
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
Valued expertise in: Network programmability, SmartNICs, Containerized platforms, GPU virtualization techniques, Wireless Communication/Sensing, AI/ML Development Frameworks and Programming tools, Compute Express Link (CXL) and storage systems
Qualification
Required
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
Expertise in Cloud/Serverless computing: involving cloud management and monitoring, security, mobile cloud, scalability, and performance
Expertise in Cloud/Datacenter networks: including aspects of management, routing, scalability, and security
Expertise in High Performance Computing Fabrics: including HPE Slingshot and Ultra Ethernet technologies and aspects of congestion management, multipathing, in network telemetry and network collectives
Expertise in AI and ML workload acceleration: exploring innovative ways to enhance AI and ML performance
Expertise in 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
Expertise in Edge-to-Cloud Infrastructure: shaping the future of edge and cloud interactions
Expertise in 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
Expertise in Emerging disaggregated systems: enabling hardware and software supports for disaggregated systems including memory, storage, and accelerators
Expertise in Network programmability: proficiency in developing programmable networks, application offloading, and RDMA
Expertise in SmartNICs: experience with Smart Network Interface Cards, leveraging their capabilities for improved network performance and management
Expertise in Containerized platforms: familiarity with containerized platforms, enabling efficient deployment, scheduling, and management of applications
Expertise in GPU virtualization techniques: knowledge of techniques that optimize GPU usage through virtualization (e.g., MPS, MIG)
Expertise in Wireless Communication/Sensing: Knowledge of wireless communication protocols (WiFi/cellular), wireless sensing techniques (FTM/ToF/CSI), and/or wireless standards (IEEE 802.11/3GPP)
Expertise in AI/ML Development Frameworks and Programming tools: Familiarity with tool chains like PyTorch 2.0, Torch FX, JAX, TensorFlow and CUDA programming
Expertise in 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
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
Company
Hewlett Packard Enterprise
Hewlett Packard Enterprise is an edge-to-cloud company that uses comprehensive solutions to accelerate business outcomes.
Founded in 1939
10001+ employees
H1B Sponsorship
Hewlett Packard Enterprise has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (532)
2024 (585)
2023 (591)
2022 (523)
2021 (551)
2020 (398)
Funding
Current Stage
Public CompanyTotal Funding
$2.85BKey Investors
Elliott Management Corp.
2025-04-15Post Ipo Equity· $1.5B
2024-09-10Post Ipo Equity· $1.35B
2015-11-02IPO
Leadership Team
Antonio Neri
President & CEO
Fidelma Russo
EVP & GM, Hybrid Cloud and Chief Technology Officer
Recent News
2026-01-11
2026-01-09
2026-01-09
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