Senior Research Engineer

Senior Research Engineer

  

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

Who We Are:

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.

Job Description:

   

We are currently seeking highly qualified candidates for full-time research position in Networking and Distributed Systems Lab at Hewlett Packard Labs. Innovation drives progress, and Hewlett Packard Labs drives innovation. The Networking and Distributed Systems Lab focuses on researching and developing cutting-edge networked systems technologies, architectures and systems for next generation AI, HPC, Enterprise and Telecommunication Infrastructure. Our diverse team with a broad range of skillsets and expertise fosters innovation and development of new ideas not possible in traditional monolithic research organizations. Research areas of our interest include (but are not limited to): 

• HPC, cloud, datacenter and enterprise networks
• Cloud, AI and HPC workload orchestration
• WiFi/Cellular/NextG seamless communication
• B5G/6G RAN/core development
• Next generation media (e.g., XR, AR, VR)
• FPGAs, GPUs, and SmartNICs 
• Disaggregated systems and interconnects (CXL, PCIe, NVLink, UALink, etc)
• Storage and distributed systems
• Sensing and localization
• Network programmability and virtualization
• Network monitoring and anomaly analytics 
• Network and information security 

We are particularly interested in individuals with a doctoral degree in Computer Science or Electrical & Computer Engineering. Excellent networked systems building skills are a significant plus. The ideal candidate would have a strong background in distributed systems, HPC and AI workloads, enterprise and telecommunication networks, cloud applications, & network protocols. Excellent understanding of the current state of the art, major trends and opportunities as well as a demonstrated track record in making things real in innovative ways is considered a plus. 

Our researchers and engineers are not only distinguished academically as IEEE/ACM Fellows etc., they’re driven by wide-ranging curiosity and creativity and committed to real-world innovation. So if you have the mind of a scientist and the heart of an entrepreneur, and you dream of having a lasting impact on your field and our world, Hewlett Packard Labs wants to hear from you. 

Education, Experience and Skills: 

• Finishing or recently completed Ph.D. degree in a relevant discipline, such as computer science, electrical or computer engineering 
• Proven track record of world-class innovative research contributions 
• Strong  programming and system building skills 

• Highly Desirable:  C/C++, Python, Linux Kernel development, Network Stack 
• Experience with CUDA, PyTorch, K8s, TensorFlow, KNative, OpenvSwitch and other control and orchestration platforms 
• Proficiency in network protocols and technologies, including but not limited to Ultra Ethernet, Slingshot, Collectives Communication, IP, TCP/UDP, P4, 5G, eBPF, DPDK etc.
• Knowledge of WiFi/cellular protocol stack
• Experience with wireless systems building including SDRs (e.g. USRPs)
• Excellent verbal and written communication skills 
• Highly motivated with an ability to work independently and well with others in a team 

Additional Skills:

Accountability, Accountability, Action Planning, Active Learning, Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 5 more}

What We Can Offer You:

Health & Wellbeing